research-article

Designing for individuals: usable touch-screen interaction through shared user models

Authors:

Vicki L. Hanson,

Andy CobleyAuthors Info & Claims

ASSETS '12: Proceedings of the 14th international ACM SIGACCESS conference on Computers and accessibility

Pages 151 - 158

https://doi.org/10.1145/2384916.2384943

Published: 22 October 2012 Publication History

Abstract

Mobile touch-screen devices are becoming increasingly popular across a diverse range of users. Whilst there is a wealth of information and utilities available via downloadable apps, there is still a large proportion of users with visual and motor impairments who are unable to use the technology fully due to their interaction needs. In this paper we present an evaluation of the use of shared user modelling and adaptive interfaces to improve the accessibility of mobile touch-screen technologies. By using abilities based information collected through application use and continually updating the user model and interface adaptations, it is easy for users to make applications aware of their needs and preferences. Three smart phone apps were created for this study and tested with 12 adults who had diverse visual and motor impairments. Results indicated significant benefits from the shared user models that can automatically adapt interfaces, across applications, to address usability needs.

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Cited By

Krishna Vajjala AMansur SJose JMoran KRoychoudhury APaiva AAbreu RStorey M(2024)MotorEase: Automated Detection of Motor Impairment Accessibility Issues in Mobile App UIsProceedings of the IEEE/ACM 46th International Conference on Software Engineering10.1145/3597503.3639167(1-13)Online publication date: 20-May-2024
https://dl.acm.org/doi/10.1145/3597503.3639167
Sarsenbayeva ZVan Berkel NVelloso EGoncalves JKostakos V(2022)Methodological Standards in Accessibility Research on Motor Impairments: A SurveyACM Computing Surveys10.1145/354350955:7(1-35)Online publication date: 15-Dec-2022
https://dl.acm.org/doi/10.1145/3543509
Hu XWang JGao WHu Y(2022)FootUI: Designing and Detecting Foot Gestures to Assist People with Upper Body Motor Impairments to Use Smartphones on the BedProceedings of the 24th International ACM SIGACCESS Conference on Computers and Accessibility10.1145/3517428.3563285(1-11)Online publication date: 23-Oct-2022
https://dl.acm.org/doi/10.1145/3517428.3563285
Show More Cited By

Index Terms

Designing for individuals: usable touch-screen interaction through shared user models
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction devices
      1. Touch screens
2. Social and professional topics
  1. Professional topics
    1. Computing profession
      1. Assistive technologies
  2. User characteristics
    1. People with disabilities

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Published In

cover image ACM Conferences

ASSETS '12: Proceedings of the 14th international ACM SIGACCESS conference on Computers and accessibility

October 2012

321 pages

ISBN:9781450313216

DOI:10.1145/2384916

General Chair:
Matt Huenerfauth
City University of New York, USA
,
Program Chair:
Sri Kurniawan
University of California Santa Cruz, USA

Copyright © 2012 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGACCESS: ACM Special Interest Group on Accessible Computing

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Association for Computing Machinery

New York, NY, United States

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Published: 22 October 2012

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ASSETS '12

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ASSETS '12: The 14th International ACM SIGACCESS Conference on Computers and Accessibility

October 22 - 24, 2012

Colorado, Boulder, USA

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Overall Acceptance Rate 436 of 1,556 submissions, 28%

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Cited By

Krishna Vajjala AMansur SJose JMoran KRoychoudhury APaiva AAbreu RStorey M(2024)MotorEase: Automated Detection of Motor Impairment Accessibility Issues in Mobile App UIsProceedings of the IEEE/ACM 46th International Conference on Software Engineering10.1145/3597503.3639167(1-13)Online publication date: 20-May-2024
https://dl.acm.org/doi/10.1145/3597503.3639167
Sarsenbayeva ZVan Berkel NVelloso EGoncalves JKostakos V(2022)Methodological Standards in Accessibility Research on Motor Impairments: A SurveyACM Computing Surveys10.1145/354350955:7(1-35)Online publication date: 15-Dec-2022
https://dl.acm.org/doi/10.1145/3543509
Hu XWang JGao WHu Y(2022)FootUI: Designing and Detecting Foot Gestures to Assist People with Upper Body Motor Impairments to Use Smartphones on the BedProceedings of the 24th International ACM SIGACCESS Conference on Computers and Accessibility10.1145/3517428.3563285(1-11)Online publication date: 23-Oct-2022
https://dl.acm.org/doi/10.1145/3517428.3563285
Kong JZhong MFogarty JWobbrock J(2022)Quantifying Touch: New Metrics for Characterizing What Happens During a TouchProceedings of the 24th International ACM SIGACCESS Conference on Computers and Accessibility10.1145/3517428.3544804(1-13)Online publication date: 23-Oct-2022
https://dl.acm.org/doi/10.1145/3517428.3544804
Colley MKränzle TRukzio E(2022)Accessibility-Related Publication Distribution in HCI Based on a Meta-AnalysisExtended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491101.3519701(1-28)Online publication date: 27-Apr-2022
https://dl.acm.org/doi/10.1145/3491101.3519701
Gorman BCrabb MArmstrong MKitamura YQuigley AIsbister KIgarashi TBjørn PDrucker S(2021)Adaptive Subtitles: Preferences and Trade-Offs in Real-Time Media AdaptionProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445509(1-11)Online publication date: 6-May-2021
https://dl.acm.org/doi/10.1145/3411764.3445509
Hu XWang JGao WYu CShi Y(2021)FootUI: Assisting People with Upper Body Motor Impairments to Use Smartphones with Foot Gestures on the BedExtended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411763.3451782(1-7)Online publication date: 8-May-2021
https://dl.acm.org/doi/10.1145/3411763.3451782
Treeratanaporn TTorat TKongtaworn T(2021)Usability Evaluation of Touch Screen Interface with Various User Groups2021 25th International Computer Science and Engineering Conference (ICSEC)10.1109/ICSEC53205.2021.9684661(149-154)Online publication date: 18-Nov-2021
https://doi.org/10.1109/ICSEC53205.2021.9684661
Mott MTang JKane SCutrell ERingel Morris M(2020)“I just went into it assuming that I wouldn't be able to have the full experience”Proceedings of the 22nd International ACM SIGACCESS Conference on Computers and Accessibility10.1145/3373625.3416998(1-13)Online publication date: 26-Oct-2020
https://dl.acm.org/doi/10.1145/3373625.3416998
Peng YLin MChen YChen TKu PTaele PLim CChen MBrewster SFitzpatrick GCox AKostakos V(2019)PersonalTouchProceedings of the 2019 CHI Conference on Human Factors in Computing Systems10.1145/3290605.3300913(1-11)Online publication date: 2-May-2019
https://dl.acm.org/doi/10.1145/3290605.3300913
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