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Ability-based optimization of touchscreen interactions

  • Sayan Sarcar
  • , Jussi P.P. Jokinen
  • , Antti Oulasvirta
  • , Zhenxin Wang
  • , Chaklam Silpasuwanchai
  • , Xiangshi Ren
  • Kochi University of Technology
  • Asian Institute of Technology

Tutkimustuotos: Lehtiartikkeli › Article › Scientific › vertaisarvioitu

63 Sitaatiot (Scopus)
533 Lataukset (Pure)

Abstrakti

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.

AlkuperäiskieliEnglanti
Sivut15-26
Sivumäärä12
JulkaisuIEEE Pervasive Computing
Vuosikerta17
Numero1
DOI - pysyväislinkit
TilaJulkaistu - 1 tammik. 2018
OKM-julkaisutyyppiA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä

Rahoitus

The work described in this article has received funding from the joint JST–AoF project “User Interface Design for the Ageing Population” (AoF grant 291556) as an activity of the FY2014 Strategic International Collaborative Research Program (SICORP), and from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (grant agreement 637991). Olli Savisaari, Hiroshi Miyamoto, Ayumu Ono, and Jingxin Liu helped with the studies.

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