Towards ability-based optimization for aging users

Sayan Sancar, Jussi Jokinen, Antti Oulasvirta, Choklam Silpasuwanchai, Zhenxin Wang, Xiangshi Ren

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

10 Citations (Scopus)

Abstract

This paper addresses the design of user interfaces for aging adults. Older people differ vastly in how aging affects their perceptual, motor, and cognitive abilities. When it comes to interface design for aging users, the "one design for all" approach fails. We present first results from attempts to extend ability-based design to the aging population. We describe a novel approach using age-related differences as the principle of optimizing interactive tasks. We argue that, to be successful, predictive models must take into account how users adapt their behavioral strategies as a function of their abilities. When combined with design optimization, such models allow us to investigate optimal designs more broadly, examining trade-offs among several design factors. We present first results on optimizing text entry methods for user groups with different age-related declines.

Original languageEnglish
Title of host publicationProceedings of the International Symposium on Interactive Technology and Ageing Populations, ITAP 2016
PublisherACM
Pages77-86
Number of pages10
ISBN (Electronic)9781450347464
DOIs
Publication statusPublished - 20 Oct 2016
MoE publication typeA4 Article in a conference publication
EventInternational Symposium on Interactive Technology and Ageing Populations - Kochi, Japan
Duration: 20 Oct 201622 Oct 2016

Conference

ConferenceInternational Symposium on Interactive Technology and Ageing Populations
Abbreviated titleITAP
CountryJapan
CityKochi
Period20/10/201622/10/2016

Keywords

  • Ability-based design
  • Aging population
  • Model-based VI optimization
  • Motor performance
  • Touch-WLM

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