TY - GEN
T1 - DysVis: A User-Centred Data Visualization System for Dyslexia Pre-screening
AU - Fung, Ka Yan
AU - Lee, Lik Hang
AU - Yuan, Linping
AU - Fung, Kwong Chiu
AU - Sin, Kuen Fung
AU - Lui, Tze Leung Rick
AU - Qu, Huamin
AU - Song, Shenghui
N1 - Publisher Copyright:
© 2025 Copyright held by the owner/author(s).
PY - 2025/4/26
Y1 - 2025/4/26
N2 - Dyslexia is a common neurobiological learning disorder significantly impacting reading, writing, and spelling worldwide. Early identification and intervention are essential, but most pre-screening tools focus on Latin languages, leaving Chinese-speaking students underserved. To address this gap, we conduct semi-structured interviews with special education (special-ed) teachers to gather their needs for dyslexia pre-screening tailored to Chinese contexts. Using their insights, we have developed DysVis, a user-centered data visualization system that combines handwriting analysis, body movement keypoint conversion, and a comprehensive visualization interface. DysVis provides teachers with multi-level visualizations, such as performance overviews, task analyses, handwriting observations, and behavioural insights, enabling them to identify the root causes of learning difficulties. Our evaluations, including case studies, a user study, and expert interviews, demonstrate that DysVis is user-friendly and effective in quickly identifying at-risk students, ultimately enhancing learning outcomes for Chinese-speaking students with dyslexia.
AB - Dyslexia is a common neurobiological learning disorder significantly impacting reading, writing, and spelling worldwide. Early identification and intervention are essential, but most pre-screening tools focus on Latin languages, leaving Chinese-speaking students underserved. To address this gap, we conduct semi-structured interviews with special education (special-ed) teachers to gather their needs for dyslexia pre-screening tailored to Chinese contexts. Using their insights, we have developed DysVis, a user-centered data visualization system that combines handwriting analysis, body movement keypoint conversion, and a comprehensive visualization interface. DysVis provides teachers with multi-level visualizations, such as performance overviews, task analyses, handwriting observations, and behavioural insights, enabling them to identify the root causes of learning difficulties. Our evaluations, including case studies, a user study, and expert interviews, demonstrate that DysVis is user-friendly and effective in quickly identifying at-risk students, ultimately enhancing learning outcomes for Chinese-speaking students with dyslexia.
KW - Data Visualization System
KW - Data-driven Technology-enabled Analytics
KW - Dyslexia Pre-screening
KW - User-centred Design
UR - https://www.scopus.com/pages/publications/105005758289
U2 - 10.1145/3706598.3713194
DO - 10.1145/3706598.3713194
M3 - Conference article published in proceeding or book
AN - SCOPUS:105005758289
T3 - Conference on Human Factors in Computing Systems - Proceedings
SP - 1
EP - 18
BT - CHI 2025 - Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems
PB - Association for Computing Machinery
T2 - 2025 CHI Conference on Human Factors in Computing Systems, CHI 2025
Y2 - 26 April 2025 through 1 May 2025
ER -