Article

Automatically generating custom user interfaces for users with physical disabilities

Authors:

Krzysztof Z. Gajos,

Jing Jing Long,

Daniel S. WeldAuthors Info & Claims

Assets '06: Proceedings of the 8th international ACM SIGACCESS conference on Computers and accessibility

Pages 243 - 244

https://doi.org/10.1145/1168987.1169036

Published: 23 October 2006 Publication History

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Abstract

No abstract available.

References

[1]

K. Gajos and D. S. Weld. Supple: automatically generating user interfaces. In IUI'04, Funchal, Madeira, Portugal, 2004.

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[2]

K. Gajos and D. S. Weld. Preference elicitation for interface optimization. In Proceedings of UIST'05, Seattle, WA, 2005.

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Kong JZhong MFogarty JWobbrock J(2024)The Ability-Based Design Mobile Toolkit (ABD-MT): Developer Support for Runtime Interface Adaptation Based on Users' AbilitiesProceedings of the ACM on Human-Computer Interaction10.1145/36765248:MHCI(1-26)Online publication date: 24-Sep-2024
https://dl.acm.org/doi/10.1145/3676524
Khan IKhusro S(2022)ConTEXT: context-aware adaptive SMS client for drivers to reduce risky driving behaviorsSoft Computing10.1007/s00500-021-06705-126:16(7623-7640)Online publication date: 4-Jan-2022
https://doi.org/10.1007/s00500-021-06705-1
Ko YPutkonen AAydin AFeiz SWang YAshok VRamakrishnan IOulasvirta ABi X(2021)Modeling Gliding-based Target Selection for Blind Touchscreen UsersProceedings of the 23rd International Conference on Mobile Human-Computer Interaction10.1145/3447526.3472022(1-14)Online publication date: 27-Sep-2021
https://dl.acm.org/doi/10.1145/3447526.3472022
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Index Terms

Automatically generating custom user interfaces for users with physical disabilities
1. Human-centered computing
  1. Human computer interaction (HCI)

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CHI '08: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

We evaluate two systems for automatically generating personalized interfaces adapted to the individual motor capabilities of users with motor impairments. The first system, SUPPLE, adapts to users' capabilities indirectly by first using the ARNAULD ...
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Most of today's GUIs are designed for the typical, able-bodied user; atypical users are, for the most part, left to adapt as best they can, perhaps using specialized assistive technologies as an aid. In this paper, we present an alternative approach: ...
Automatically generating personalized user interfaces with Supple

Today's computer-human interfaces are typically designed with the assumption that they are going to be used by an able-bodied person, who is using a typical set of input and output devices, who has typical perceptual and cognitive abilities, and who is ...

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Published In

Assets '06: Proceedings of the 8th international ACM SIGACCESS conference on Computers and accessibility

October 2006

316 pages

ISBN:1595932909

DOI:10.1145/1168987

General Chair:
Simeon Keates
IBM T.J. Watson Research Center, USA
,
Program Chair:
Simon Harper
University of Manchester, UK

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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 23 October 2006

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ASSETS06

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ASSETS06: The 8th International ACM SIGACCESS Conference on Computers and Accessibility

October 23 - 25, 2006

Oregon, Portland, USA

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

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Kong JZhong MFogarty JWobbrock J(2024)The Ability-Based Design Mobile Toolkit (ABD-MT): Developer Support for Runtime Interface Adaptation Based on Users' AbilitiesProceedings of the ACM on Human-Computer Interaction10.1145/36765248:MHCI(1-26)Online publication date: 24-Sep-2024
https://dl.acm.org/doi/10.1145/3676524
Khan IKhusro S(2022)ConTEXT: context-aware adaptive SMS client for drivers to reduce risky driving behaviorsSoft Computing10.1007/s00500-021-06705-126:16(7623-7640)Online publication date: 4-Jan-2022
https://doi.org/10.1007/s00500-021-06705-1
Ko YPutkonen AAydin AFeiz SWang YAshok VRamakrishnan IOulasvirta ABi X(2021)Modeling Gliding-based Target Selection for Blind Touchscreen UsersProceedings of the 23rd International Conference on Mobile Human-Computer Interaction10.1145/3447526.3472022(1-14)Online publication date: 27-Sep-2021
https://dl.acm.org/doi/10.1145/3447526.3472022
Khan AKhusro S(2021)A mechanism for blind-friendly user interface adaptation of mobile apps: a case study for improving the user experience of the blind peopleJournal of Ambient Intelligence and Humanized Computing10.1007/s12652-021-03393-513:5(2841-2871)Online publication date: 23-Jul-2021
https://doi.org/10.1007/s12652-021-03393-5
Rieger CLucrédio DFortes RKuchen HDias FDuarte LHung CCerny TShin DBechini A(2020)A model-driven approach to cross-platform development of accessible business appsProceedings of the 35th Annual ACM Symposium on Applied Computing10.1145/3341105.3375765(984-993)Online publication date: 30-Mar-2020
https://dl.acm.org/doi/10.1145/3341105.3375765
Jiang YStuerzlinger WZwicker MLutteroth CBernhaupt RMueller FVerweij DAndres JMcGrenere JCockburn AAvellino IGoguey ABjørn PZhao SSamson BKocielnik R(2020)ORCSolver: An Efficient Solver for Adaptive GUI Layout with OR-ConstraintsProceedings of the 2020 CHI Conference on Human Factors in Computing Systems10.1145/3313831.3376610(1-14)Online publication date: 21-Apr-2020
https://dl.acm.org/doi/10.1145/3313831.3376610
Vermette LMcGrenere JBirge CKelly AChilana PBrewster SFitzpatrick GCox AKostakos V(2019)Freedom to Personalize My Digital ClassroomProceedings of the 2019 CHI Conference on Human Factors in Computing Systems10.1145/3290605.3300548(1-14)Online publication date: 2-May-2019
https://dl.acm.org/doi/10.1145/3290605.3300548
Todi KJokinen JLuyten KOulasvirta A(2019)Individualising Graphical Layouts with Predictive Visual Search ModelsACM Transactions on Interactive Intelligent Systems10.1145/324138110:1(1-24)Online publication date: 30-Aug-2019
https://dl.acm.org/doi/10.1145/3241381
Khan AKhusro S(2019)Blind-friendly user interfaces --- a pilot study on improving the accessibility of touchscreen interfacesMultimedia Tools and Applications10.1007/s11042-018-7094-y78:13(17495-17519)Online publication date: 1-Jul-2019
https://dl.acm.org/doi/10.1007/s11042-018-7094-y
Firmenich SGarrido APaternò FRossi G(2019)User Interface Adaptation for AccessibilityWeb Accessibility10.1007/978-1-4471-7440-0_29(547-568)Online publication date: 4-Jun-2019
https://doi.org/10.1007/978-1-4471-7440-0_29
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Improving the performance of motor-impaired users with automatically-generated, ability-based interfaces

Automatically generating user interfaces adapted to users' motor and vision capabilities

Automatically generating personalized user interfaces with Supple