Ability-based optimization of touchscreen interactions

Sayan Sarcar, Jussi P.P. Jokinen, Antti Oulasvirta, Zhenxin Wang, Chaklam Silpasuwanchai, Xiangshi Ren

Research output: Contribution to journalArticleScientificpeer-review

16 Citations (Scopus)
237 Downloads (Pure)

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.

Original languageEnglish
Pages (from-to)15-26
Number of pages12
JournalIEEE Pervasive Computing
Volume17
Issue number1
DOIs
Publication statusPublished - 1 Jan 2018
MoE publication typeA1 Journal article-refereed

Keywords

  • Ability-based design
  • model-based UI optimization
  • tremor

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