TY - JOUR
T1 - Ability-based optimization of touchscreen interactions
AU - Sarcar, Sayan
AU - Jokinen, Jussi P.P.
AU - Oulasvirta, Antti
AU - Wang, Zhenxin
AU - Silpasuwanchai, Chaklam
AU - Ren, Xiangshi
N1 - | openaire: EC/H2020/637991/EU//COMPUTED
PY - 2018/1/1
Y1 - 2018/1/1
N2 - 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.
AB - 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.
KW - Ability-based design
KW - model-based UI optimization
KW - tremor
UR - http://www.scopus.com/inward/record.url?scp=85044122165&partnerID=8YFLogxK
U2 - 10.1109/MPRV.2018.011591058
DO - 10.1109/MPRV.2018.011591058
M3 - Article
AN - SCOPUS:85044122165
SN - 1536-1268
VL - 17
SP - 15
EP - 26
JO - IEEE Pervasive Computing
JF - IEEE Pervasive Computing
IS - 1
ER -