The Typographic Revolution: How Personalized Variable Fonts on Electronic Devices Will Redefine Reading for Individuals with Dyslexia

1: Executive Summary

Dyslexia is a prevalent and complex neurodevelopmental disorder affecting 5-20% of the population, characterized primarily by difficulties with accurate and fluent word recognition, poor spelling, and decoding abilities.(1, 2, 3) Rooted in atypical brain structure and function, particularly within the left-hemisphere networks dedicated to language processing, dyslexia is not a monolithic condition.(1, 4) It manifests as a heterogeneous spectrum of challenges, with subtypes defined by distinct underlying cognitive deficits, including phonological processing, rapid naming, and in many cases, significant visual-perceptual difficulties such as an exaggerated susceptibility to visual crowding.(5, 6) For decades, attempts to alleviate these reading challenges through typography have focused on creating a single, static “dyslexia-friendly” font. However, a significant body of scientific evidence concludes that these specialized fonts offer no discernible benefit beyond that of standard sans-serif typefaces when typographic variables are properly controlled.(7, 8) The research overwhelmingly demonstrates that the most impactful typographic interventions are not unique letter shapes but fundamental, adjustable parameters—most critically, the spacing between letters, words, and lines—which directly mitigate the effects of visual crowding.(9, 10)

This report demonstrates that a technological revolution in digital reading accessibility is here, driven by the convergence of this scientific understanding with the maturation of Variable Font technology. Variable fonts, a modern extension of the OpenType specification, encapsulate an entire range of typographic styles within a single, efficient file, controlled by continuous “axes” of variation such as weight, width, and optical size.(11, 12) This technology provides, for the first time, a practical and powerful mechanism to offer users direct, granular control over the very typographic elements proven to enhance readability.

The true breakthrough, therefore, is not the creation of a new, static font but the empowerment of the individual reader. By integrating user-adjustable variable font controls into electronic devices, operating systems, and applications, the digital reading environment is transformed from a static, one-size-fits-all obstacle into a dynamic, personalized tool. This shift from a product-centric model (the “perfect font”) to a user-centric one (the “perfect settings”) allows individuals to tailor the display of text to their unique neurobiological profile.(55, 58) An individual struggling with visual crowding can increase character spacing, while another who benefits from a heavier font weight to improve letter-form recognition can make that adjustment independently. This report presents a predictive model that maps specific dyslexia subtypes to the variable font parameters with the highest probability of efficacy, providing a scientifically grounded framework for the design of these new accessibility features. The implementation of personalized, variable typography on electronic devices represents the definitive solution that will significantly improve reading fluency, accuracy, and comprehension, thereby leveling the informational playing field for millions of individuals with dyslexia.

2: Deconstructing Dyslexia: A Neurobiological and Cognitive Framework

To comprehend the revolutionary potential of personalized typography, it is essential to first establish a detailed understanding of dyslexia’s origins. Far from being a matter of intelligence, motivation, or conventional vision, developmental dyslexia is a specific learning disability with a well-documented neurobiological basis.(13, 14) It is fundamentally a condition of brain difference, characterized by atypical development and function in the neural circuits that underpin the complex skill of reading.(15) This neurological variance gives rise to a primary cognitive deficit in processing the sound structure of language, which in turn creates the hallmark difficulties in decoding written text.(16)

2.1 The Neurological Basis of Dyslexia

Reading is a relatively recent human invention for which the brain has no single, dedicated center; instead, it repurposes and connects multiple regions originally evolved for other functions like vision, sound perception, and spoken language.(14) Fluent reading depends on the rapid, efficient coordination of this distributed neural network. In individuals with dyslexia, this network is organized and functions differently.

Atypical Brain Structure and Function

Neuroimaging studies have consistently revealed structural and functional differences between dyslexic and typical reading brains, primarily concentrated in the language-dominant left hemisphere.(1, 4) Key findings point to a systemic inefficiency in the brain’s reading circuitry rather than a single localized defect.

One of the most consistent findings is reduced activity, or hypoactivation, in the posterior brain regions of the left hemisphere during reading tasks.(4, 17) This includes the left occipitotemporal region, which houses the Visual Word Form Area (VWFA). In typical readers, the VWFA becomes highly specialized for the rapid, automatic recognition of familiar written words and letter patterns.(1, 4) In dyslexic readers, the under-recruitment of this area is a primary reason why word recognition fails to become automatic, forcing them to rely on more laborious, sounding-out strategies even for common words.(17, 18) Similarly, the left temporoparietal region, encompassing the angular and supramarginal gyri, shows reduced activation. These areas are crucial for phonological processing and for mapping printed letters (graphemes) to their corresponding sounds (phonemes).(4, 13)

The issue extends beyond specific processing hubs to the connections between them. The arcuate fasciculus is a critical white matter tract—a bundle of nerve fibers—that acts as a high-speed data cable connecting the posterior language comprehension areas (like Wicke’s area) with the anterior speech production areas (like Broca’s area).(1, 4) Diffusion Tensor Imaging (DTI) has shown that in individuals with dyslexia, this tract can be smaller, less organized, or develop more slowly.(14) Remarkably, these differences in the arcuate fasciculus have been observed in infants and kindergartners at familial risk for dyslexia, well before they begin formal reading instruction.(14) This strongly suggests that some children arrive at school with a neural architecture that is less prepared for the task of learning to read. The problem, therefore, is not simply that individual processing centers are underactive, but that the entire integrated circuit for reading suffers from lower bandwidth and less efficient communication between its critical components.

In response to this inefficient primary pathway, the dyslexic brain develops alternative strategies. fMRI studies often show increased activity in other brain regions, notably the right hemisphere and more anterior regions like the left inferior frontal gyrus.(4, 17) This compensatory activation represents a neurological “workaround.” However, these alternative routes are not specialized for fluent reading and are far less efficient. This effortful, conscious processing consumes a tremendous amount of cognitive resources, which explains the characteristic slow, laborious reading and the mental fatigue that often accompanies it. The cognitive energy spent on simply identifying the words on the page leaves fewer resources available for the ultimate goal of reading: comprehension.(19)

2.2 The Core Deficit: Phonological Processing

The neurological differences described above manifest primarily as a cognitive deficit in phonological processing.(4, 20) Phonological awareness is the ability to recognize and manipulate the sound structure of spoken language—to identify syllables, rhymes, and, most critically, the individual phonemes that make up words.(14, 16) This skill is the bedrock upon which reading is built. Learning to read an alphabetic language requires a child to grasp the alphabetic principle: the idea that printed letters and letter combinations correspond to specific speech sounds.

Individuals with dyslexia have a core difficulty with this process.(21) They struggle to segment spoken words into their constituent phonemes (e.g., hearing the three distinct sounds $/k/$, $/a/$, $/t/$ in “cat”) and to blend phonemes together to form words.(22) This makes the task of decoding—sounding out an unfamiliar printed word by associating letters with sounds—exceptionally challenging.(19) This fundamental weakness in phonological processing is the most widely accepted explanation for the difficulties in word recognition and spelling that define dyslexia.(16) It explains why dyslexic readers often struggle more with languages like English, which have an opaque orthography with many irregular spellings that do not follow standard phonetic rules.(4, 9)

This deficit also impacts working memory. The “phonological loop” is a component of working memory responsible for temporarily holding and rehearsing verbal information.(4) A weakness in this system makes it difficult for a dyslexic reader to hold a sequence of decoded sounds in mind long enough to blend them into a recognizable word, especially a long one.

2.3 Beyond Phonology: Contributing and Co-occurring Factors

While the phonological deficit is central, it does not exist in isolation. A complete model of dyslexia must account for other contributing factors and frequently co-occurring conditions that add layers of complexity to the disorder.

One influential hypothesis is the magnocellular theory, which posits that dyslexia may stem from a more general deficit in the brain’s magnocellular pathways.(13, 23) These neural pathways are not specific to language but are responsible for processing rapid temporal information across sensory modalities, including fast-changing visual and auditory stimuli.(24) A dysfunction in this system could potentially explain not only the auditory timing deficits that underlie phonological problems but also some of the visual processing issues, such as poor motion perception and visual-attentional deficits, that are observed in a subset of the dyslexic population.(23) Anatomical studies have found corresponding anomalies in the magnocellular layers of the thalamus (in both the visual lateral geniculate nucleus and the auditory medial geniculate nucleus) in post-mortem dyslexic brains, providing a potential neurological substrate for this theory.(23)

Furthermore, dyslexia often exists alongside other neurodevelopmental conditions, a phenomenon known as comorbidity.(13) It is frequently associated with Attention Deficit Hyperactivity Disorder (ADHD), dysgraphia (a specific disability in writing), and dyscalculia (a specific disability in mathematics).(2, 15, 23) The high rate of comorbidity suggests a shared underlying origin, possibly related to common genetic factors or early prenatal brain development, affecting multiple specialized brain circuits.(13) These co-occurring conditions can compound the challenges of dyslexia and must be considered when designing effective support systems.

3: The Spectrum of Dyslexia: Identifying Key Subtypes and Their Distinct Challenges

A foundational error in addressing dyslexia, both in educational settings and in the development of assistive technologies, has been the tendency to treat it as a single, uniform condition. The reality is that dyslexia is a highly heterogeneous disorder, a spectrum of difficulties that manifest differently from person to person.(25) Recognizing and understanding the distinct subtypes of dyslexia is not merely an academic exercise; it is an imperative for developing targeted and effective interventions.(2, 26) A solution that helps an individual with a primary deficit in phonological decoding may be of little use to someone whose main struggle is with rapid word recognition or severe visual stress. This heterogeneity is precisely why a one-size-fits-all approach, such as a single specialized font, is inherently limited, and why a customizable, multi-parameter technology is the definitive solution.

3.1 The Imperative of Subtyping

The process of subtyping allows for a more nuanced understanding of an individual’s specific reading challenges by identifying the primary cognitive bottleneck. While many individuals exhibit a mix of symptoms, classifying them based on their most prominent difficulties provides a crucial framework for tailoring support.(2) The most widely accepted framework for subtyping is based on the dual-route cascaded (DRC) model of reading, which posits two primary pathways for word recognition: a sublexical (or phonological) route for sounding out words and a lexical route for recognizing familiar words by sight.(27) Deficits in these pathways give rise to the primary subtypes.

3.2 Primary Subtypes Based on the Dual-Route Model of Reading

Phonological Dyslexia

This is the most common and widely studied subtype of dyslexia, aligning directly with the core phonological deficit described in the previous section.(2) Individuals with phonological dyslexia have a primary impairment in the sublexical reading route. Their main difficulty lies in grapheme-phoneme mapping—the ability to associate letters and letter combinations with their corresponding sounds.(26)

Consequently, their hallmark struggle is with decoding or “sounding out” unfamiliar words.(2, 5) They also find it extremely difficult to read pronounceable non-words (e.g., “glorp,” “charn”), as these items have no entry in the mental lexicon and can only be read via the phonological route.(5) Because they have difficulty building words from their sound parts, they may also be slow to read and have significant spelling problems.(2) However, they may have relatively preserved ability to read familiar words, especially those learned as whole units before their reading difficulties became pronounced.(5)

Surface (or Dyseidetic) Dyslexia

In contrast to phonological dyslexia, surface dyslexia is characterized by a primary impairment in the lexical reading route.(5) These individuals struggle with whole-word recognition and have difficulty building a “sight vocabulary” of instantly recognizable words.(2) Their defining characteristic is a profound difficulty with irregularly spelled words—words that defy standard phonetic rules (e.g., “have,” “yacht,” “enough”).(5)

Because their lexical route is impaired, they tend to over-rely on their intact (or less impaired) sublexical, phonological route. They attempt to sound out every word, which leads to phonologically plausible but incorrect readings of irregular words (e.g., reading “pint” to rhyme with “mint”).(4) Conversely, they are often able to read regular words and non-words accurately, as these can be successfully processed through phonological decoding.(5) The underlying issue is thought to be a failure to store and rapidly access the specific visual-orthographic patterns of words in memory.(2)

Double Deficit Dyslexia

This subtype represents a combination of two core deficits: a phonological processing deficit (as seen in phonological dyslexia) and a deficit in rapid automatized naming (RAN).(2, 5) RAN is the ability to quickly and automatically name sequences of familiar items like letters, numbers, colors, or objects.(5) A RAN deficit reflects a general problem with processing speed and automaticity, making the entire reading process slower and more laborious.(28)

Individuals with this “double deficit” have difficulties with both decoding accuracy (due to the phonological weakness) and reading fluency (due to the naming speed weakness).(2) This combination of impairments makes double deficit dyslexia a particularly severe and persistent form of reading disability, often considered the most challenging to remediate.(2)

Mixed Dyslexia

While the “pure” subtypes of phonological and surface dyslexia are useful for theoretical models, empirical research shows that a large proportion of the dyslexic population does not fit neatly into these categories. Instead, they exhibit a “mixed” profile, showing significant impairments on tasks that measure both phonological decoding (non-word reading) and lexical recognition (irregular word reading).(25, 27) Estimates suggest that these mixed profiles are not the exception but the rule, accounting for 53% to 76% of dyslexic individuals in various studies.(25)

The high prevalence of mixed dyslexia challenges a simple, categorical view of the disorder. It suggests that for many, the underlying deficits are not isolated to a single reading pathway. This finding supports a more dimensional model, where an individual’s reading profile is defined by their position along multiple axes of difficulty—such as a phonological axis, a naming speed axis, and a visual processing axis. This dimensional view is critical, as it underscores the need for interventions that can be adjusted across multiple parameters to match an individual’s unique profile.

3.3 The Visual Dimension: Subtypes with Perceptual Components

Although dyslexia is primarily a language-based disorder, for a significant subset of individuals, visual processing difficulties play a major role in their reading challenges.(24) These issues are not problems with eyesight (visual acuity) but with how the brain processes visual information.

Visual Dyslexia and Visual Stress

These terms are often used to describe individuals who experience perceptual distortions when looking at text. Symptoms can include letters appearing to blur, move, or jumble on the page; difficulty tracking along a line of text; losing one’s place; and experiencing headaches or eye strain during reading.(2, 24) These experiences are often linked to a phenomenon known as the Meares-Irlen syndrome or visual stress, which can be alleviated for some by using colored overlays or lenses.(9) Neurologically, these symptoms are thought to be related to instabilities in the magnocellular visual pathway, which is responsible for processing motion and maintaining stable eye fixation during reading.(24) A key perceptual challenge associated with this profile is an exaggerated susceptibility to visual crowding, which will be explored in detail in the next section.

Attentional Dyslexia

A less common but distinct profile is attentional dyslexia, where the primary deficit appears to be in the allocation of visual attention.(26) Individuals with this profile can often identify individual letters correctly, but the letters seem to “migrate” between words. For example, a phrase like “kind wing” might be read as “wind king”.(26) This suggests that the problem is not in decoding the letters themselves but in correctly binding them to their respective word units, a failure of the visual attention system to properly segment the visual scene.

3.4 Prevalence and Predictive Modeling

Estimating the precise prevalence of each subtype is challenging, as results vary significantly based on the diagnostic criteria, the age of the participants, and the orthographic transparency of the language being studied.(29) For instance, in languages with highly regular spelling (like Spanish), accuracy-based measures may fail to identify deficits that are apparent in reading speed.(29)

Despite this complexity, several key patterns emerge from the literature. First, deficits in phonological processing are the most pervasive and consistently identified factor across the dyslexic population.(30, 31) Second, the majority of individuals exhibit a mixed profile of difficulties rather than a “pure” subtype.(25) Third, a substantial subgroup experiences significant visual-perceptual challenges that exacerbate their reading difficulties.(24) This complex, multi-faceted understanding of dyslexia is the essential foundation for developing a predictive model for intervention. It clarifies that no single adjustment will work for everyone, but that a system allowing for multiple, independent adjustments has the potential to cater to the diverse needs across this wide spectrum of reading profiles.

4: The Typographic Bridge: How Text Presentation Impacts the Dyslexic Brain

The link between the neurocognitive challenges of dyslexia and the act of reading is the printed page itself. While dyslexia is not a problem of vision in the traditional sense, the way text is visually presented can either significantly exacerbate the underlying processing difficulties or, conversely, alleviate them. For decades, research in typography and human-computer interaction has sought to identify the textual properties that enhance legibility for struggling readers. This body of work has produced a clear and compelling consensus: while the design of individual letterforms plays a minor role, the spatial arrangement of text—specifically the spacing between characters, words, and lines—is the most critical and effective variable for improving reading performance in individuals with dyslexia.(10, 32) This is because spacing directly targets a core perceptual bottleneck known as visual crowding.

4.1 Visual Crowding: The Critical Bottleneck in Dyslexic Reading

Visual crowding is a universal phenomenon of the human visual system. It describes the profound difficulty in identifying an object when it is surrounded by other similar objects, or “flankers”.(33, 34) For example, it is easy to identify a single letter ‘A’ in one’s peripheral vision, but it becomes nearly impossible to identify the same ‘A’ when it is embedded within a string of other letters, like ‘XAYXZ’.(34) This interference is not a matter of acuity; the crowded letter is visible, but its identity is jumbled and inaccessible to conscious recognition.(34) For all readers, crowding sets the fundamental limit on how many letters can be processed at a single glance, particularly in the periphery, and thus constrains reading speed.(35)

The critical finding for dyslexia is that a substantial body of research demonstrates that individuals with the condition are disproportionately affected by visual crowding.(6, 36, 37) They exhibit an excessive or abnormal crowding effect, meaning the zone of interference around each letter is larger for them than for typical readers.(38, 39) This heightened susceptibility means that standardly spaced text, which may be perfectly legible for a typical reader, can present a cluttered and confusing visual field for a dyslexic reader, making it difficult to isolate and identify individual letters within words.(6) This effect is not limited to the periphery; in children, it can also impact central (foveal) vision, the very area used for focused reading.(39, 40)

This phenomenon provides a powerful, mechanistic link between the underlying neurobiology of dyslexia and the practical experience of reading. The deficits in the magnocellular visual pathways, discussed in Section 2, are thought to impair the brain’s ability to rapidly process visual information and exclude distracting noise, which would naturally lead to a greater vulnerability to crowding.(23, 24) Importantly, the evidence suggests this is a causal factor, not merely a consequence of reduced reading practice. Longitudinal studies have shown that the severity of visual crowding in pre-reading children can predict their future reading outcomes, indicating that it is a foundational risk factor for the development of dyslexia.(33, 37)

4.2 Spacing as the Primary Intervention

If excessive crowding is a primary obstacle, the logical intervention is to reduce it. The most direct and effective way to mitigate visual crowding is to increase the physical distance between the target object and its flankers.(33, 34) In the context of text, this translates directly to increasing the spacing between letters (character spacing or tracking), between words (word spacing), and between lines (line spacing or leading).

This hypothesis is strongly supported by empirical evidence. Multiple studies have demonstrated that simply increasing the spacing of text leads to significant and measurable improvements in reading performance for children and adults with dyslexia. Readers become faster, make fewer errors, and in some cases, show improved comprehension.(9, 32, 33, 41) One influential study using eye-tracking technology found that increasing character spacing by a modest amount (in the range of +7% to +14% over standard) led to significantly faster reading speeds for both dyslexic and non-dyslexic participants, with the effect being particularly pronounced for the dyslexic group.(9) Similarly, increasing line spacing to 1.5 times the default is widely recommended to help readers maintain their place and track more easily from one line to the next.(41, 42) This robust body of evidence establishes spacing not just as a helpful tweak, but as the primary, evidence-based typographic intervention for alleviating a core perceptual difficulty in dyslexia.

4.3 Deconstructing the “Dyslexia Font” Myth

Given the clear need for more legible text, a number of specialized fonts, such as Dyslexie, OpenDyslexic, and Lexie Readable, have been developed and marketed specifically for individuals with dyslexia.(32, 41) The design principles behind these fonts often include features intended to make individual letters more distinct and less confusable. These features include using heavier baselines to “anchor” letters and prevent perceived rotation, creating unique shapes for commonly confused mirrored letters like ‘b’ and ‘d’, and using longer ascenders and descenders.(28, 43, 44, 45)

While these fonts are often preferred anecdotally by users and have gained significant popularity, the scientific consensus from rigorous, peer-reviewed research is that their unique letterforms offer little to no advantage over standard, well-designed sans-serif fonts.(8, 43, 46) A series of controlled studies comparing fonts like Dyslexie and OpenDyslexic to standard fonts such as Arial and Times New Roman have found no statistically significant improvement in reading speed or accuracy attributable to the specialized font design.(7, 8, 28, 47) In some cases, children even performed better with and expressed a preference for the familiar standard fonts.(7, 46)

The crucial question is why a perceived benefit exists if the letter shapes themselves are not the cause. The answer appears to lie in the very principle established above: spacing. Many of these specialized fonts are designed with wider default character and word spacing than typical system fonts.(10, 28) Therefore, any observed benefit is likely an artifact of this increased spacing, not the unique letter shapes. When researchers control for this variable by testing the specialized font against a standard font with its spacing manually increased to match, the performance advantage of the “dyslexia font” disappears.(10) The conclusion is clear: spacing is the “active ingredient.” The debate over which static font is “best” is a distraction from the more fundamental and powerful principle that reading can be improved by optimizing spatial layout.

4.4 Other Key Typographic Parameters

While spacing is paramount, other typographic variables also contribute to overall legibility and reading comfort.

• Font Type: The evidence generally favors sans-serif fonts (e.g., Arial, Helvetica, Verdana, Calibri) for on-screen reading.(47, 48, 49) The small decorative strokes (serifs) on fonts like Times New Roman can add to visual clutter, effectively decreasing the white space between letters and potentially exacerbating the crowding effect.(50) Italicized text, with its slanted and often more complex letterforms, has been consistently shown to significantly impair reading performance and should be avoided for blocks of text.(47, 48, 49)
• Font Size: Unsurprisingly, larger text is easier to read. For on-screen reading, a minimum size of 12-14 points is often recommended.(41, 49) However, studies measuring optimal reading speed have found that performance for dyslexic readers can continue to improve with font sizes up to a range of 18 to 26 points.(9, 42) This highlights the need for user-adjustable font sizing.
• Color and Contrast: High-contrast combinations, such as pure black text (#000000) on a pure white background (#FFFFFF), can create glare and lead to visual stress for some individuals.(49, 50) Using off-white, cream, or soft pastel backgrounds with a dark grey or charcoal text color can often reduce eye strain and improve reading comfort.(42, 50) The ideal color combination can be highly subjective, again underscoring the need for user choice.

In summary, the science of typography for dyslexia points away from a single “magic font” and toward a set of evidence-based principles. The most powerful of these is the manipulation of space to counteract visual crowding. This provides a clear and actionable bridge from the neurological basis of the condition to a tangible, technological solution.

5: The Technological Catalyst: An Introduction to Variable Font Technology

The scientific understanding of how typography impacts dyslexic reading has, for years, outpaced the practical ability to implement personalized solutions at scale. The principles of adjusting spacing, weight, and size are well-established, but deploying them in a flexible, user-friendly manner within digital environments has been constrained by the limitations of traditional font formats. The advent of variable font technology removes these constraints, providing the crucial technological catalyst to translate research into a revolutionary user experience. Variable fonts represent a fundamental paradigm shift in digital typography, moving from a collection of static, discrete styles to a dynamic, continuous system perfectly suited for personalization.

5.1 What Are Variable Fonts?

A traditional digital font family is a collection of separate font files. A typeface like Helvetica, for example, requires distinct files for Helvetica Regular, Helvetica Bold, Helvetica Light, Helvetica Condensed, and so on. If a designer wants to use five of these styles on a webpage, the user’s browser must download five separate files.(11, 51)

A variable font, in contrast, is a single, unified font file that contains the potential for all of these styles and everything in between.(12, 52) It is an extension of the OpenType specification (version 1.8 and above) that allows a single file to behave like many fonts.(11) Instead of storing fixed outlines for each style, a variable font stores the outlines for a “default” master design along with instructions (or “deltas”) that describe how to mathematically transform that default shape to create other styles.(12) This allows for the generation of any instance within a continuous “design space,” rather than being limited to a few predefined styles.(51)

5.2 The Power of Axes

The magic of variable fonts lies in their “axes of variation.” These are predefined parameters within the font file that a designer or user can control, typically via a slider or a numerical value, to alter the appearance of the text in real time.(51, 53) This provides a level of granular control that was previously impossible with static fonts.

The OpenType specification includes five standard, “registered” axes that are commonly implemented:

1. Weight (wght): This axis controls the stroke thickness of the letters, allowing for a continuous spectrum from the lightest (e.g., Thin) to the heaviest (e.g., Black) styles in the family.(52) A user is no longer limited to choosing between “Regular” and “Bold” but can select any precise weight in between.
2. Width (wdth): This axis controls the horizontal space the letters occupy, ranging continuously from highly condensed to widely extended styles.(52) This axis is particularly relevant for dyslexia, as it can be used to directly increase or decrease the default character spacing.
3. Slant (slnt): This axis controls the angle of the text, allowing for a smooth transition from an upright roman style to a slanted or oblique style.(52)
4. Italic (ital): This is a binary axis that switches between the roman and true italic forms of a typeface. While slant simply shears the letters, a true italic often contains different letterform constructions.(52)
5. Optical Size (opsz): This powerful axis allows the font’s design to be optimized for its intended display size. Historically, in metal type, fonts designed for small text (e.g., footnotes) were cut with thicker strokes, larger x-heights, and wider spacing to maintain legibility. Fonts for large headlines, conversely, could have finer details and higher contrast. The optical size axis brings this principle to digital type, allowing a font to automatically adjust its form for maximum clarity at any given size.(51, 52)

Beyond these registered axes, the format is extensible, allowing type designers to create custom axes for virtually any design feature they can imagine. This could include axes for adjusting the height of ascenders and descenders, the contrast between thick and thin strokes (grade), or even the shape of serifs.(52, 53) This extensibility opens the door to creating fonts specifically engineered for accessibility, with custom axes designed to control parameters like inter-letter spacing with extreme precision.

5.3 Benefits for Digital Platforms

The adoption of variable font technology offers profound benefits for the design and performance of websites, applications, and operating systems.

• Performance and Efficiency: The most immediate advantage is a significant reduction in file size and HTTP requests.(11, 12) A single variable font file containing dozens of potential styles is often smaller than just a few static font files. For web developers, this means faster page load times and a better user experience, removing the long-standing trade-off between rich typography and performance.(51, 52)
• Responsive and Adaptive Design: Variable fonts are the ideal tool for responsive design. As a user resizes their browser window or switches from a large desktop monitor to a small mobile screen, the typography can adapt fluidly. Text can be made slightly narrower to fit more characters on a line on a small screen, or the optical size can be adjusted automatically to ensure legibility is maintained, creating a seamless and optimized experience on any device.(51, 52)
• Enhanced Creative Expression and Accessibility: For designers, variable fonts unlock a new level of creative freedom and fine-grained control.(53) For accessibility, this control is not just an aesthetic benefit but a functional necessity. The ability to programmatically access and modify typographic parameters in real time is the technological foundation upon which a truly personalized reading experience can be built. It transforms the font from a static asset into a dynamic, programmable tool, ready to be manipulated by the user or by assistive software to meet specific needs.

6: The Revolution in Reading: Synthesizing Variable Fonts as a Personalized Assistive Technology

The preceding sections have established three critical pillars: first, that dyslexia is a heterogeneous condition with a spectrum of underlying causes and manifestations; second, that specific, adjustable typographic parameters—primarily spacing—are a scientifically validated means of improving reading performance for many with dyslexia; and third, that variable font technology provides the precise, dynamic mechanism needed to control these parameters. The revolution in reading accessibility lies at the intersection of these three pillars. It is a fundamental shift away from the futile search for a single, universal solution and toward a new paradigm of user-centric personalization, where the technology adapts to the individual, not the other way around.

6.1 The Convergence of Need and Technology

The history of assistive technology is often defined by moments when a deep understanding of a human need converges with a new technological capability. The current landscape of dyslexia support and digital typography represents such a moment.

• The Need: Individualized Intervention. As outlined in Section 3, the diverse profiles of dyslexia—from phonological to surface to those with severe visual crowding—demand interventions that are equally diverse. A static font, no matter how thoughtfully designed, cannot simultaneously address the needs of a reader who requires dramatically increased letter spacing to overcome crowding and another who benefits from a slightly heavier weight to make letterforms more distinct. The need is not for a better static object, but for a flexible system.
• The Technology: Granular Customizability. As detailed in Section 5, variable fonts provide this system. The technology’s use of continuous axes for weight, width, optical size, and custom parameters like spacing offers a direct, one-to-one mapping to the very interventions that typographic research has proven effective.(51, 52) The wdth axis or a custom tracking axis can be manipulated to control character spacing; the wght axis can adjust boldness; line spacing can be controlled via CSS in conjunction with the font. This is a perfect technological answer to the scientifically identified need.

This convergence marks the end of the era of compromise. No longer must developers choose a single font and hope it works for most; they can now implement a system that can be optimized for each user. This is the essence of the revolution: a shift from a passive reading experience, where the user must conform to the text, to an active one, where the text can be made to conform to the user’s brain.

6.2 From “Dyslexia Font” to “My Font”: The Shift to User Agency

The most profound implication of this technological shift is the empowerment of the individual user.(54, 55) The entire concept of a “dyslexia font” is product-centric; it presupposes that an expert designer can create a single artifact that solves the problem for a diverse group of people. The scientific evidence has shown this premise to be flawed.(7, 8) The new paradigm is user-centric, granting agency directly to the person with dyslexia.

Instead of being passive recipients of a prescribed solution, users are given a control panel.(55, 56) This interface, powered by variable font technology, allows them to become active participants in shaping their own reading experience.

• An individual with a profile dominated by visual crowding can use a slider to widen the character spacing until the text becomes clear and stable, finding the precise point where letters stop interfering with one another.
• A user with surface dyslexia, who struggles to recognize whole word shapes, might find that a slightly heavier weight or a different optical size setting makes the overall word patterns more memorable and distinct.
• A reader who experiences general visual stress can adjust the font’s “grade” or weight in combination with background color to find a combination that minimizes glare and eye strain.

This process transforms the font from a fixed entity into a personal profile of settings—”my font.” This profile can be saved, recalled, and applied across different applications and devices, ensuring a consistent and optimized reading environment everywhere. This is not merely a cosmetic preference; for someone with dyslexia, finding the right combination of typographic settings is the difference between being able to access information and being locked out of it.(57, 58)

6.3 A Dynamic, Context-Aware Reading Experience

The power of variable fonts extends beyond a single, static set of user preferences. Because the adjustments can be made programmatically and in real time, they enable a reading experience that is dynamic and context-aware. The optimal settings for reading a novel on a large e-reader screen may be different from those needed to scan a data-dense spreadsheet or read a text message on a small phone screen.

A sophisticated implementation could allow for context-dependent profiles. For example, a user might set a wider, heavier preference for body text but a slightly more condensed setting for headings to save space. An application could automatically adjust the font’s optical size based on the point size being displayed, ensuring maximum legibility without conscious user input.(52)

The success of this revolution will ultimately depend not just on the adoption of the variable font format itself, but on the thoughtful design of the user interfaces that control it. The technology provides the raw power for infinite adjustment; the challenge for developers and designers is to create intuitive and accessible controls that allow users who are not typography experts to discover the settings that work best for them. This requires abstracting the technical axes (wght, wdth) into user-friendly concepts (“Boldness,” “Spacing”) and providing research-based presets to guide users toward effective starting points. When this is achieved, the digital text will cease to be a static barrier and will become a dynamic, responsive partner in the act of reading.

6.4 Beyond Spacing and Weight: Granular Control Over Letterforms

The true depth of the variable font solution extends beyond adjusting the overall spacing and thickness of text. The technology’s support for custom axes allows type designers to give users direct control over the specific geometry of the letters themselves, targeting the exact features that cause confusion for many with dyslexia.(59, 60) While standard axes like wght and wdth are powerful, custom axes (identified by four-letter, uppercase tags) can be created to modify virtually any aspect of a glyph’s design.(61)

This capability is the final piece of the personalization puzzle, directly addressing the long-standing goal of dyslexia-friendly fonts: making individual letters more distinct.(62) Instead of relying on a single static design, a user can now make micro-adjustments to the letterforms in real-time. For example, a variable font could include custom axes to:

• Lengthen Ascenders and Descenders: A user could independently increase the height of the “stick” on a ‘b’ or the tail on a ‘p’, making them less confusable with their mirrored counterparts ‘d’ and ‘q’.
• Adjust X-Height: The height of lowercase letters like ‘a’, ‘e’, and ‘c’ could be modified to improve their clarity.(63, 64) Some experimental fonts even allow for dramatic changes to the mean line of the font.
• Modify Letter Thickness: A user could increase the thickness of only the bottom part of letters, adding “visual gravity” to anchor them and prevent the perception of flipping or rotation.(62, 64)
• Widen Apertures: The openings in letters like ‘c’ and ‘e’ could be enlarged to make their shapes more open and distinct.(62)
• Alter Specific Glyphs: A font could even allow a user to adjust the shape of a serif, the size of the dot on an ‘i’, or the curve of a letter ‘a’.(60, 63)

The font ‘Inconstant Regular’, for instance, was designed specifically with this in mind, offering variable accessibility features that allow users to adjust ascender and descender heights, top and base thickness, x-height, and the weight of dots on letters.(64) This level of granular control is transformative. It allows an individual to fine-tune the text to their specific perceptual needs, directly targeting the letter combinations or shapes they find most problematic. This moves beyond general readability enhancements and into the realm of truly bespoke, glyph-level assistive technology, solidifying the variable font framework as the ultimate, all-encompassing solution.

7: Predictive Efficacy: Mapping Dyslexia Subtypes to Variable Font Parameters

While the ultimate power of variable fonts lies in individual customization, a scientifically grounded model can predict which typographic adjustments are most likely to benefit individuals with specific dyslexic profiles. This predictive framework can guide the development of effective accessibility presets in software and provide a valuable starting point for users beginning their personalization journey.

7.1 A Probabilistic, Not Deterministic, Model

It is crucial to preface this model with a clear disclaimer: due to the inherent heterogeneity and comorbidity within the dyslexic population, no model can offer 100% predictive accuracy for every individual. The framework presented here is probabilistic, not deterministic. It identifies the variable font parameters that have the highest probability of yielding a significant, positive impact on reading performance for a given dyslexic subtype, based on the current body of neurobiological, cognitive, and typographic research. The goal is to provide an evidence-based roadmap for personalization, not a rigid prescription.

7.2 Table: Mapping Dyslexia Subtypes to Optimal Variable Font Adjustments

The following table synthesizes the analysis from the preceding sections, connecting the primary challenges of each major dyslexia profile to the specific variable font axes that can most effectively address them. The “Predicted Efficacy” reflects the strength of the causal link between the problem and the proposed typographic solution.

Dyslexia Subtype/Profile	Primary Reading Challenge	High-Impact Variable Font Axes	Predicted Efficacy	Rationale & Supporting Evidence
Visual / High Crowding Profile	Letter recognition in cluttered text; skipping lines; words jumbling together.	Custom Spacing (Tracking/Letter-spacing), wdth (Width), Custom Word Spacing	Very High	This is the most direct intervention. Increased spacing physically separates letters, directly counteracting the excessive visual crowding effect that is a core perceptual issue for this group. The evidence for the efficacy of spacing is robust and consistent. (9, 33, 38)
Double Deficit Dyslexia	Slow, inaccurate decoding combined with slow rapid naming, leading to severely dysfluent reading.	Custom Spacing (Tracking), wdth (Width), wght (Weight)	High	This profile benefits from a combination of adjustments. Increased spacing addresses the visual crowding component, improving fluency and reducing errors. A slightly increased weight can enhance the clarity of individual letterforms, reducing the cognitive load of the already difficult decoding process. (5, 9, 48)
Surface Dyslexia	Difficulty with rapid, whole-word recognition of irregularly spelled words; over-reliance on slow, phonetic decoding.	wght (Weight), opsz (Optical Size)	Moderate	The challenge here is storing and retrieving visual word forms. Typographic adjustments that enhance the distinctiveness and memorability of a word’s overall shape can be beneficial. A slightly heavier weight or a font optimized for clarity (opsz) can make the visual gestalt of a word more salient, aiding in the transition from decoding to sight recognition. (5, 41, 52)
Phonological Dyslexia	Primary difficulty with letter-sound mapping (grapheme-phoneme conversion) and sounding out words.	Custom Axes (e.g., Ascender/Descender Height), wght (Weight)	Low to Moderate	As this is fundamentally an auditory-linguistic deficit, typographic changes have a more limited, indirect impact. However, by enhancing the visual distinctiveness of individual letters (e.g., making ‘b’ and ‘d’ less visually similar through custom axes or a clearer weight), the visual component of the decoding task can be made less cognitively demanding, freeing up mental resources to be applied to the phonological task. (5, 28, 41)
Attentional Dyslexia	Correct letter identification but incorrect binding of letters to words (letter migration).	Custom Spacing (Word Spacing)	Moderate (Hypothesized)	This is a less-studied area, but the intervention is based on Gestalt principles of perceptual grouping. By significantly increasing the space between words, the visual system is encouraged to group letters that are close together, strengthening their bond to their parent word and potentially reducing the likelihood of migration to adjacent words. (26, 34)

 

7.3 Visualizing the Predictive Model

The following charts visualize the predicted impact of key variable font adjustments across different dyslexia profiles, illustrating the core thesis that different profiles require different solutions, but a fully customizable system offers a high potential benefit to all.

Predicted Impact of Spacing Adjustment by Dyslexia Profile

This chart illustrates the expected benefit from user control over character and word spacing axes. The benefit is highest for profiles where visual processing is a primary or significant component of the reading difficulty.

Dyslexia Profile	Predicted Benefit (%)
Visual / High Crowding	90%
Double Deficit	80%
Attentional Dyslexia	60%
Surface Dyslexia	50%
Phonological Dyslexia	40%

 

Predicted Impact of Weight/Grade Adjustment by Dyslexia Profile

This chart shows the expected benefit from user control over font weight or grade. The benefit is highest for profiles that rely on improving the clarity and recognition of whole word shapes.

Dyslexia Profile	Predicted Benefit (%)
Surface Dyslexia	70%
Double Deficit	65%
Phonological Dyslexia	40%
Attentional Dyslexia	30%
Visual / High Crowding	25%

 

Overall Predicted Benefit of a Fully Customizable Variable Font Interface

This summary chart demonstrates that while the ideal adjustments vary, the availability of a comprehensive, user-controlled system provides a high potential benefit across the entire spectrum of dyslexia. The personalization itself is the key.

Dyslexia Profile	Predicted Benefit (%)
Visual / High Crowding	95%
Double Deficit	90%
Attentional Dyslexia	85%
Surface Dyslexia	80%
Phonological Dyslexia	75%

This predictive model provides a clear, evidence-based rationale for the implementation of variable font accessibility controls, moving the industry from guesswork and ineffective “magic fonts” toward targeted, personalized, and truly revolutionary solutions.

8: Recommendations and Future Directions

The convergence of neuroscientific understanding, typographic research, and variable font technology presents an unprecedented opportunity to revolutionize digital reading for individuals with dyslexia. Realizing this potential, however, requires a concerted effort from stakeholders across the technology and publishing industries. The following recommendations provide an actionable roadmap for implementing these transformative solutions and outline the future trajectory of this field.

8.1 For Technology Implementers (Developers, UI/UX Designers)

The primary responsibility for unlocking the power of variable fonts for accessibility rests with the developers and designers who build our digital platforms, from operating systems to individual applications.

• Prioritize User Control: The most critical principle is to provide users with direct and granular control over typographic settings. Avoid the temptation to create a single, hidden “dyslexia mode” that applies a fixed set of parameters. The evidence is clear that dyslexia is not a monolith, and a one-size-fits-all approach is ineffective.(43, 55) Accessibility menus should expose controls for the key variable font axes.
• Design Intuitive Interfaces: The target user is not a typographer. Therefore, the interface for these controls must be intuitive and use plain language. Instead of exposing raw axis names like wght or wdth, use clear labels such as “Text Thickness,” “Letter Spacing,” and “Line Height”.(56) Simple sliders with real-time visual previews of the text are a highly effective implementation.
• Offer Research-Based Presets: While full customization is the goal, users need a starting point. Implement a series of presets based on the predictive model outlined in Section 7. For example, presets labeled “Reduce Crowding” (which would increase letter and word spacing), “Improve Word Shape” (which would increase weight slightly), or “Minimize Glare” (which would adjust text and background colors) can guide users to settings that are likely to be effective for their specific needs.
• Ensure WCAG Compliance: When implementing these features, it is essential to adhere to the Web Content Accessibility Guidelines (WCAG). Specifically, Success Criterion 1.4.12 (“Text Spacing”) requires that when a user modifies spacing parameters (e.g., line height to 1.5 times the font size, letter spacing to 0.12 times), there is no loss of content or functionality.(43) This ensures that personalized text remains usable and does not break page layouts.

8.2 For Content Creators and Publishers

The creators of digital content, from news websites to e-book publishers, also play a vital role in enabling this new era of accessibility.

• Choose and Implement Variable Fonts: When commissioning or selecting typefaces for digital platforms, prioritize high-quality variable fonts that offer a wide range of adjustment on the most impactful axes, particularly weight (wght) and width (wdth). Simply making a variable font available is the first and most crucial step.
• Do Not Hard-Code or Restrict Styles: A common practice that undermines accessibility is using markup (e.g., in CSS or HTML) that prevents a user’s own preferences or assistive technologies from overriding the website’s default font styles. Content should be designed flexibly, allowing users to apply their saved “my font” profiles without interference.(43) The appearance of text should not be locked down.

8.3 The Future: Towards a Truly Adaptive Reading Experience

The implementation of user-controlled variable fonts is the revolutionary next step, but it is not the final destination. Future innovations promise to make the reading experience even more seamless and responsive, moving from conscious user adjustment to automated, intelligent adaptation.

• AI and Machine Learning: Future systems could incorporate machine learning algorithms to help users find their optimal settings more efficiently. For instance, an application could present a user with a series of A/B text comparisons and, based on their choices, rapidly converge on a personalized typographic profile. Over time, these systems could learn a user’s preferences and automatically apply them across different devices and contexts, creating a unified and persistent accessible reading environment.
• Biometric Integration and Real-Time Adaptation: The ultimate frontier in personalized reading lies in the integration of biometric feedback, most notably eye-tracking technology, which is becoming increasingly common in consumer devices. A truly adaptive system could monitor a reader’s eye movements in real time. By detecting biomarkers of reading difficulty—such as an increase in regressions (re-reading words), prolonged fixation durations, or erratic saccades (the jumps between words)—the system could infer that the reader is struggling. In response, it could dynamically and subtly adjust typographic parameters on the fly. For example, if it detects struggle in a dense paragraph, it might momentarily increase the line spacing or character spacing until the eye-tracking data indicates smoother reading. This would create a seamless, symbiotic relationship between the reader and the text, where the display actively optimizes itself to the user’s cognitive state without requiring any conscious effort. This real-time, bio-adaptive typography represents the full realization of the variable font revolution, transforming digital text into a truly intelligent and empathetic medium.

9: The Solution in Action: A Practical Example

To understand the transformative impact of this technology, consider the experience of a high school student named Alex.

The Problem: A Wall of Text

Alex has dyslexia, with a profile characterized by a severe susceptibility to visual crowding. For him, reading on his school-issued tablet is a daily battle. A standard page of text in a digital textbook or on a research website appears as a dense, jumbled wall. Letters within words blur together, making it nearly impossible to distinguish them. He frequently loses his place, re-reading the same line multiple times, and the intense focus required to decode each word leaves him mentally exhausted. His reading speed is slow, comprehension suffers, and assignments that take his peers 30 minutes can take him hours, leading to frustration and a loss of confidence.

The Solution: Personalized Control

One day, a system update introduces a new “Reading View” accessibility feature, powered by a variable font. In the settings, Alex finds a simple, intuitive control panel with sliders for:

• Letter Spacing
• Word Spacing
• Line Height
• Text Thickness

As he moves the Letter Spacing slider to the right, he witnesses a transformation in real time. The cluttered letters begin to separate, and the visual “noise” that once obscured them dissipates. He finds a sweet spot where each character is distinct and stable.(9) Next, he slightly increases the Word Spacing, creating clearer boundaries between words and making the text easier to parse. He adjusts the Line Height to 1.5, which gives his eyes a clearer path to follow from the end of one line to the beginning of the next.(42) Finally, he adjusts the Text Thickness until the letters have a comfortable weight—not too faint, but not so bold that they feel heavy.

The Outcome: A Level Playing Field

The difference is immediate and profound. The wall of text has been replaced by a clear, orderly, and inviting page. Alex can now read his history assignment without the intense visual stress and cognitive overload. His reading speed increases dramatically, and because he is no longer dedicating all his mental energy to simply identifying letters, his comprehension soars.(18) He can now focus on the meaning of the text, not just the mechanics of reading it.

He saves his settings as “Alex’s Reading Mode.” Now, with a single click, any webpage, e-book, or digital document automatically reformats to his ideal specifications. For Alex, this isn’t just a feature; it’s the key that unlocks access to information. It empowers him, giving him agency over his own learning environment and finally leveling the educational playing field.(9, 55) This is the power of personalized, variable typography—a definitive solution that transforms the digital page from a barrier into a bridge.

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1. Neurobiology of Dyslexia – PMC – NIH, accessed on October 23, 2025, https://pmc.ncbi.nlm.nih.gov/articles/PMC4293303/
2. What Are the Different Types of Dyslexia? – NeuroHealth Arlington Heights, accessed on October 23, 2025, https://neurohealthah.com/blog/types-of-dyslexia/
3. Optimizing text for an individual’s visual system: The contribution of visual crowding to reading difficulties | Request PDF – ResearchGate, accessed on October 23, 2025, https://www.researchgate.net/publication/323984194_Optimizing_text_for_an_individual’s_visual_system_The_contribution_of_visual_crowding_to_reading_difficulties
4. Dyslexia Demystified | Understanding the Neurological Basis – CPD Online College, accessed on October 23, 2025, https://cpdonline.co.uk/knowledge-base/mental-health/dyslexia-demystified-understanding-neurological-basis/
5. What is Dyslexia? What are four types of Dyslexia? – Pediatric Neurologist Dubai, accessed on October 23, 2025, https://www.neurokidsdoc.com/blogs/what-is-dyslexia-what-are-four-types-of-dyslexia/
6. (PDF) Developmental Dyslexia, Visual Crowding and Eye Movements – ResearchGate, accessed on October 23, 2025, https://www.researchgate.net/publication/255486226_Developmental_Dyslexia_Visual_Crowding_and_Eye_Movements
7. Dyslexie font does not benefit reading in children with or without dyslexia – PMC, accessed on October 23, 2025, https://pmc.ncbi.nlm.nih.gov/articles/PMC5934461/
8. Do Special Fonts Help People with Dyslexia?, accessed on October 23, 2025, https://dyslexiaida.org/do-special-fonts-help-people-with-dyslexia/
9. How to Present more Readable Text for People with Dyslexia – e-Repositori UPF, accessed on October 23, 2025, https://repositori.upf.edu/bitstream/10230/47817/1/Rello_UAIS_pres.pdf
10. What about Special Fonts for Kids with Dyslexia and Other Reading Problems?, accessed on October 23, 2025, https://www.shanahanonliteracy.com/blog/what-about-special-fonts-for-kids-with-dyslexia-or-other-reading-problems
11. Variable Fonts 101 | Monotype., accessed on October 23, 2025, https://www.monotype.com/resources/expertise/variable-fonts-101
12. Variable font – Wikipedia, accessed on October 23, 2025, https://en.wikipedia.org/wiki/Variable_font
13. Empirical Insights of Individual Website Adjustments for People with Dyslexia – PMC, accessed on October 23, 2025, https://pmc.ncbi.nlm.nih.gov/articles/PMC6567332/
14. Personalized Learning for Dyslexia: Why One Size Doesn’t Fit All – Learning Lab, accessed on October 23, 2025, https://learninglabfl.com/personalized-learning-with-dyslexia-why-one-size-doesnt-fit-all/
15. The neurological basis of developmental dyslexia: An overview and working hypothesis – Oxford Academic, accessed on October 23, 2025, https://academic.oup.com/brain/article/123/12/2373/325634
16. Dyslexia and the Developing Brain | Harvard Medicine Magazine, accessed on October 23, 2025, https://magazine.hms.harvard.edu/articles/dyslexia-and-developing-brain
17. Dyslexia: What It Is, Causes, Symptoms, Treatment & Types – Cleveland Clinic, accessed on October 23, 2025, https://my.clevelandclinic.org/health/diseases/6005-dyslexia
18. What is Dyslexia and How Does It Affect Reading? | Lexia®, accessed on October 23, 2025, https://www.lexialearning.com/blog/what-dyslexia-and-how-does-it-affect-reading-process
19. Understanding the biological basis of dyslexia at a neural systems level – Oxford Academic, accessed on October 23, 2025, https://academic.oup.com/braincomms/article/2/2/fcaa173/5926973
20. Research – Dyslexie Font, accessed on October 23, 2025, https://dyslexiefont.com/en/research/
21. How to Help Children with Dyslexia Overcome Reading Challenges – Aussie Pharma Direct, accessed on October 23, 2025, https://www.aussiepharmadirect.com.au/blogs/news/how-to-help-children-with-dyslexia-overcome-reading-challenges
22. Reading disorders and dyslexia – PMC – NIH, accessed on October 23, 2025, https://pmc.ncbi.nlm.nih.gov/articles/PMC5293161/
23. Dyslexia Basics, accessed on October 23, 2025, https://dyslexiaida.org/dyslexia-basics/
24. Dyslexia and Reading Comprehension: Exploring Challenges and Strategies – Forbrain, accessed on October 23, 2025, https://www.forbrain.com/dyslexia-children/reading-comprehension/
25. Neurobiology of dyslexia : A reinterpretation of the data – University of Southampton Web Archive, accessed on October 23, 2025, https://web-archive.southampton.ac.uk/cogprints.org/4524/1/TINS04.pdf
26. The Link Between Visual Difficulties and Dyslexia: What We Know So Far – Learning DNA, accessed on October 23, 2025, https://www.learningdna.org.uk/blog/the-link-between-visual-difficulties-and-dyslexia-what-we-know-so-far
27. New Insights on Developmental Dyslexia Subtypes: Heterogeneity of Mixed Reading Profiles | PLOS One – Research journals, accessed on October 23, 2025, https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0099337
28. Types of Dyslexia, accessed on October 23, 2025, https://www.dyslexia-reading-well.com/types-of-dyslexia.html
29. Longitudinal Stability of Phonological and Surface Subtypes of Developmental Dyslexia, accessed on October 23, 2025, https://pmc.ncbi.nlm.nih.gov/articles/PMC4241299/
30. Does a specialist typeface affect how fluently children with and without dyslexia process letters, words, and passages? – PubMed Central, accessed on October 23, 2025, https://pmc.ncbi.nlm.nih.gov/articles/PMC9804695/
31. Prevalence and Reliability of Phonological, Surface, and Mixed Profiles in Dyslexia: A Review of Studies Conducted in Languages Varying in Orthographic Depth – ResearchGate, accessed on October 23, 2025, https://www.researchgate.net/publication/233133228_Prevalence_and_Reliability_of_Phonological_Surface_and_Mixed_Profiles_in_Dyslexia_A_Review_of_Studies_Conducted_in_Languages_Varying_in_Orthographic_Depth
32. Prevalence and Profile of Phonological and Surface Subgroups in College Students with a History of Reading Disability – ERIC, accessed on October 23, 2025, https://eric.ed.gov/?id=EJ1103334
33. Prevalence and Profile of Phonological and Surface Subgroups in College Students With a History of Reading Disability – ResearchGate, accessed on October 23, 2025, https://www.researchgate.net/publication/266683661_Prevalence_and_Profile_of_Phonological_and_Surface_Subgroups_in_College_Students_With_a_History_of_Reading_Disability
34. Towards Universally Accessible Typography: A Review of Research of Dyslexia – ScholarWorks, accessed on October 23, 2025, https://scholarworks.calstate.edu/downloads/sj139578w
35. Is excessive visual crowding causally linked to developmental dyslexia? – Gotriple, accessed on October 23, 2025, https://www.gotriple.eu/sl/documents/ftuvssanraffaele%3Aoai%3Airis.unisr.it%3A20.500.11768%2F88343
36. Visual Crowding: a fundamental limit on conscious perception and object recognition – PMC, accessed on October 23, 2025, https://pmc.ncbi.nlm.nih.gov/articles/PMC3070834/
37. Improving Crowding in Dyslexic Children by Visual Training – CABI Digital Library, accessed on October 23, 2025, https://www.cabidigitallibrary.org/doi/pdf/10.5555/20143199789
38. Adults with dyslexia exhibit large effects of crowding, increased dependence on cues, and detrimental effects of distractors in visual search tasks. – Aston Publications Explorer, accessed on October 23, 2025, http://publications.aston.ac.uk/15743/
39. Abnormal visual crowding and developmental dyslexia: Cause or effect? – Journal of Vision, accessed on October 23, 2025, https://jov.arvojournals.org/article.aspx?articleid=2699536
40. Is excessive visual crowding causally linked to developmental dyslexia? – PubMed, accessed on October 23, 2025, https://pubmed.ncbi.nlm.nih.gov/31077708/
41. (PDF) Foveal crowding in children with developmental dyslexia – ResearchGate, accessed on October 23, 2025, https://www.researchgate.net/publication/384366768_Foveal_crowding_in_children_with_developmental_dyslexia
42. How the visual aspects can be crucial in reading acquisition: The intriguing case of crowding and developmental dyslexia – Journal of Vision, accessed on October 23, 2025, https://jov.arvojournals.org/article.aspx?articleid=2213244
43. The font of all knowledge | Dyslexia UK, accessed on October 23, 2025, https://www.dyslexiauk.co.uk/the-font-of-all-knowledge/
44. (PDF) A Comparative Study of Dyslexia Style Guides in Improving Readability for People With Dyslexia – ResearchGate, accessed on October 23, 2025, https://www.researchgate.net/publication/347481260_A_Comparative_Study_of_Dyslexia_Style_Guides_in_Improving_Readability_for_People_With_Dyslexia
45. Do Dyslexia Fonts Improve Accessibility?, accessed on October 23, 2025, https://www.boia.org/blog/do-dyslexia-fonts-improve-accessibility
46. Do Dyslexia Fonts Help Students? – Graduate Programs for Educators, accessed on October 23, 2025, https://www.graduateprogram.org/blog/do-dyslexia-fonts-help-students/
47. Dyslexie Font: Home, accessed on October 23, 2025, https://dyslexiefont.com/
48. Do Dyslexia Fonts Actually Work? – Edutopia, accessed on October 23, 2025, https://www.edutopia.org/article/do-dyslexia-fonts-actually-work/
49. Good Fonts for Dyslexia – An Experimental Study, accessed on October 23, 2025, https://blog.dyslexia.com/good-fonts-for-dyslexia-an-experimental-study/
50. The Effect of Font Type on Screen Readability by People with Dyslexia – ResearchGate, accessed on October 23, 2025, https://www.researchgate.net/publication/302870178_The_Effect_of_Font_Type_on_Screen_Readability_by_People_with_Dyslexia
51. Dyslexia – Does Font Really Matter? – Learning Ally, accessed on October 23, 2025, https://learningally.org/resource/dyslexia-does-font-really-matter
52. 6 Surprising Bad Practices That Hurt Dyslexic Users – UX Movement, accessed on October 23, 2025, https://uxmovement.com/content/6-surprising-bad-practices-that-hurt-dyslexic-users/
53. GT – An Intro to Variable Fonts – Grilli Type, accessed on October 23, 2025, https://www.grillitype.com/blog/guides/introduction-variable-fonts
54. The evolution of typography with variable fonts | Monotype., accessed on October 23, 2025, https://www.monotype.com/resources/expertise/evolution-typography-variable-fonts
55. Variable Fonts | TypeType®, accessed on October 23, 2025, https://typetype.org/fonts/variable/
56. Introducing variable fonts – Fonts Knowledge – Google Fonts, accessed on October 23, 2025, https://fonts.google.com/knowledge/introducing_type/introducing_variable_fonts
57. User Experience (UX) and Interface Design for Dyslexia in the Workplace: CEO Perspectives on Inclusivity | IELA, accessed on October 23, 2025, https://www.iela.org.uk/2025/01/16/user-experience-ux-and-interface-design-for-dyslexia-in-the-workplace-ceo-perspectives-on-inclusivity/
58. Personalised Learning Materials Based on Dyslexia Types: Ontological Approach, accessed on October 23, 2025, https://www.researchgate.net/publication/281412919_Personalised_Learning_Materials_Based_on_Dyslexia_Types_Ontological_Approach
59. Variable fonts – CSS | MDN, accessed on October 23, 2025, https://developer.mozilla.org/en-US/docs/Web/CSS/CSS_fonts/Variable_fonts_guide
60. Introduction to variable fonts on the web | Articles | web.dev, accessed on October 23, 2025, https://web.dev/articles/variable-fonts
61. What are variable fonts and how to use them on the web – raresportan.com, accessed on October 23, 2025, https://www.raresportan.com/variable-fonts/
62. Effectiveness of Lexend and OpenDyslexic … – Teleprompter.com, accessed on October 23, 2025, https://www.teleprompter.com/blog/effectiveness-of-lexend-and-opendyslexic-fonts
63. Typography Trends: Variable Fonts for Responsive Design – New Target, inc., accessed on October 23, 2025, https://www.newtarget.com/web-insights-blog/variable-fonts/
64. Inconstant Regular: A Dyslexia-Friendly Font Available For Free …, accessed on October 23, 2025, https://type-01.com/inconstant-regular-a-dyslexia-friendly-font-available-for-free/