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Issue No. 01 - Jan.-Mar. (2018 vol. 17)
ISSN: 1536-1268
pp: 15-26
Sayan Sarcar , Kochi University of Technology
Jussi P.P. Jokinen , Aalto University
Antti Oulasvirta , Aalto University
Zhenxin Wang , Kochi University of Technology
Chaklam Silpasuwanchai , Asian Institute of Technology and Asian Institute of Technology
Xiangshi Ren , Kochi University of Technology
ABSTRACT
Ability-based optimization is a computational approach for improving interface designs for users with sensorimotor and cognitive impairments. Designs are created by an optimizer, evaluated against task-specific cognitive models, and adapted to individual abilities. The approach does not necessitate extensive data collection and could be applied both automatically and manually by users, designers, or caretakers. As a first step, the authors present optimized touchscreen layouts for users with tremor and dyslexia that potentially improve text-entry speed and reduce error.
INDEX TERMS
cognition, handicapped aids, human computer interaction, medical disorders, touch sensitive screens
CITATION

S. Sarcar, J. P. Jokinen, A. Oulasvirta, Z. Wang, C. Silpasuwanchai and X. Ren, "Ability-Based Optimization of Touchscreen Interactions," in IEEE Pervasive Computing, vol. 17, no. 1, pp. 15-26, 2018.
doi:10.1109/MPRV.2018.011591058
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