Article

Exploring the design space for adaptive graphical user interfaces

Authors:

Krzysztof Z. Gajos,

Mary Czerwinski,

Desney S. Tan,

Daniel S. WeldAuthors Info & Claims

AVI '06: Proceedings of the working conference on Advanced visual interfaces

Pages 201 - 208

https://doi.org/10.1145/1133265.1133306

Published: 23 May 2006 Publication History

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Abstract

For decades, researchers have presented different adaptive user interfaces and discussed the pros and cons of adaptation on task performance and satisfaction. Little research, however, has been directed at isolating and understanding those aspects of adaptive interfaces which make some of them successful and others not. We have designed and implemented three adaptive graphical interfaces and evaluated them in two experiments along with a non-adaptive baseline. In this paper we synthesize our results with previous work and discuss how different design choices and interactions affect the success of adaptive graphical user interfaces.

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Cited By

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Brandenburger JJanneck M(2024)Consideration of people’s design preferences for the development of adaptive user interfacesi-com10.1515/icom-2024-002923:3(321-334)Online publication date: 16-Sep-2024
https://doi.org/10.1515/icom-2024-0029
Saif AZakir MRaza ANaseem M(2024)EvolveUI: User Interfaces that Evolve with User ProficiencyProceedings of the 7th ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies10.1145/3674829.3675078(230-237)Online publication date: 8-Jul-2024
https://dl.acm.org/doi/10.1145/3674829.3675078
Andrei A(2024)MW4HBI: Mobile and Wearable Human-Building Interactions with a Multi-Platform User Interface2024 International Conference on Development and Application Systems (DAS)10.1109/DAS61944.2024.10541293(1-7)Online publication date: 23-May-2024
https://doi.org/10.1109/DAS61944.2024.10541293
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Index Terms

Exploring the design space for adaptive graphical user interfaces
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. HCI design and evaluation methods
    2. Interaction paradigms

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Published In

AVI '06: Proceedings of the working conference on Advanced visual interfaces

May 2006

512 pages

ISBN:1595933530

DOI:10.1145/1133265

General Chair:
Augusto Celentano
Università Ca' Foscari di Venezia, Mestre(VE), Italy

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

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Published: 23 May 2006

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AVI06

AVI06: The International Conference on Advanced Visual Interfaces

May 23 - 26, 2006

Venezia, Italy

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Overall Acceptance Rate 128 of 490 submissions, 26%

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Brandenburger JJanneck M(2024)Consideration of people’s design preferences for the development of adaptive user interfacesi-com10.1515/icom-2024-002923:3(321-334)Online publication date: 16-Sep-2024
https://doi.org/10.1515/icom-2024-0029
Saif AZakir MRaza ANaseem M(2024)EvolveUI: User Interfaces that Evolve with User ProficiencyProceedings of the 7th ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies10.1145/3674829.3675078(230-237)Online publication date: 8-Jul-2024
https://dl.acm.org/doi/10.1145/3674829.3675078
Andrei A(2024)MW4HBI: Mobile and Wearable Human-Building Interactions with a Multi-Platform User Interface2024 International Conference on Development and Application Systems (DAS)10.1109/DAS61944.2024.10541293(1-7)Online publication date: 23-May-2024
https://doi.org/10.1109/DAS61944.2024.10541293
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Gaspar-Figueiredo DAbrahao SInsfran EVanderdonckt J(2023)Measuring User Experience of Adaptive User Interfaces using EEG: A Replication StudyProceedings of the 27th International Conference on Evaluation and Assessment in Software Engineering10.1145/3593434.3593452(52-61)Online publication date: 14-Jun-2023
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Kosch TWelsch RChuang LSchmidt A(2023)The Placebo Effect of Artificial Intelligence in Human–Computer InteractionACM Transactions on Computer-Human Interaction10.1145/352922529:6(1-32)Online publication date: 11-Jan-2023
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Chujkova EAidinyan ATsvetkova O(2023)Dynamic configuration of the application menu based on the “top-down” principlePROCEEDING OF THE 7TH INTERNATIONAL CONFERENCE OF SCIENCE, TECHNOLOGY, AND INTERDISCIPLINARY RESEARCH (IC-STAR 2021)10.1063/5.0130739(050022)Online publication date: 2023
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Predictability and accuracy in adaptive user interfaces

A comparison of static, adaptive, and adaptable menus

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Predictability and accuracy in adaptive user interfaces

A comparison of static, adaptive, and adaptable menus

Impact of screen size on performance, awareness, and user satisfaction with adaptive graphical user interfaces

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