Definition The term high-readability, dyslexia-friendly font refers to a typeface specifically designed or configured to reduce the cognitive effort associated with reading, thereby improving text accessibility for individuals with dyslexia without compromising overall readability. Such typefaces aim to facilitate the accurate mapping between graphemes and phonemes during the reading process. In addition, for individuals with dysorthographia, they may support the inverse process by facilitating the encoding of phonemes into their corresponding graphemes during writing. Abstract This entry examines the pedagogical relevance of typographic design as a compensatory strategy for improving accessibility in reading and writing for individuals with dyslexia and related Specific Learning Disorders (SLDs). A high-readability, dyslexia-friendly font is defined as a typeface designed to reduce the cognitive effort associated with reading while facilitating the mapping between graphemes and phonemes, without compromising readability for the general population. Grounded in the principal cognitive and neurophysiological models of dyslexia, this work analyzes how specific typographic features can mitigate cognitive load and support more efficient text processing. Cross-linguistic considerations further emphasize the need for culturally and linguistically responsive design solutions. Based on the evidence reviewed, a user-centered workflow for the development of high-readability, dyslexia-friendly fonts is proposed. Although specialized typefaces such as OpenDyslexic have introduced innovative design principles, current empirical evidence does not conclusively demonstrate their superiority over carefully designed and appropriately configured conventional fonts. The findings highlight the importance of typography as a key component of inclusive design and educational accessibility, reinforcing its role in reducing learning barriers, promoting equitable access to written information, and supporting more inclusive digital learning environments. Drawing on cognitive, neuropsychological, anthropological, and technological perspectives, the work examines how reading, as a culturally acquired technology, interacts with human cognitive processes. It analyzes the potential of high-readability and dyslexia-friendly fonts and it discusses the integration of typography with Artificial Intelligence and adaptive learning technologies to develop personalized and inclusive educational environments.
This paper investigates developing real-world perception for active agents, proposes Gibson Environment for this purpose, and showcases a set of perceptual tasks learned therein.
F. Xia, Amir Zamir, Zhi-Yang He et al.· 2018 IEEE/CVF Conference on...· 1,069 citations· ⚡112
GAOKAO-Bench is introduced, an intuitive benchmark that employs questions from the Chinese GAOKAO examination as test samples, including both subjective and objective questions that contribute a robust evaluation benchmark for future large language models and offers valuable insights into the advantages and limitations...
Xiaotian Zhang, Chun-yan Li, Yi Zong et al.· arXiv.org· 216 citations· ⚡17
An algorithm is proposed which leverages disentangled semantic factors to generate adversarial perturbation by altering controlled semantic attributes to fool the learner towards various "adversarial" targets.
Haonan Qiu, Chaowei Xiao, Lei Yang et al.· arXiv.org· 208 citations· ⚡17
This work proposes a HALO that directly maximizes the utility of generations instead of maximizing the log-likelihood of preferences, and suggests that the best loss depends on the inductive biases most appropriate for a given setting, an oft-overlooked consideration.
This work investigates the possibilities of using LLMs in a resume screening setting via a document retrieval framework that simulates job candidate selection and finds that the MTEs are biased, significantly favoring White-associated names in 85% of cases and female-associated names in only 11.1% of cases.
This work shows that orders of magnitude enhancement in performance could be obtained by a combination of hardware improvements and tight quantum-HPC integration and introduces high-performance architectures for quantum-probabilistic computing with custom-designed accelerators to tackle today's industry-scale classical...
Masoud Mohseni, Artur Scherer, K. Johnson et al.· arXiv.org· 121 citations· ⚡9