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Adapt-UI: an IDE supporting model-driven development of self-adaptive UIs

Authors:

Gregor EngelsAuthors Info & Claims

EICS '17: Proceedings of the ACM SIGCHI Symposium on Engineering Interactive Computing Systems

Pages 99 - 104

https://doi.org/10.1145/3102113.3102144

Published: 26 June 2017 Publication History

Abstract

Self-adaptive UIs (SAUIs) have been promoted as a solution for context variability due to their ability to automatically adapt to the context-of-use at runtime. The development of SAUIs is a complex task since self-adaptivity and context management aspects have to be incorporated in the UI development process. In this paper, we present an integrated development environment (IDE) for model-driven development of SAUIs. This IDE, named Adapt-UI, provides integrated views for UI, context and adaptation modeling. Based on the specified models, final UI code and context as well as adaptation services are generated and integrated in an overall UI framework. This allows runtime UI adaptation realized by an automatic reaction to context-of-use changes. The benefit of our approach is demonstrated by a case study, showing the development of self-adaptive UIs for a university library application, utilizing the Angular 2 JavaScript framework.

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Cited By

Märtin CHerdin C(2024)Enabling real-time adaptations for individualized customer experience in user-centered e-business applicationsProcedia Computer Science10.1016/j.procs.2024.06.315239(1425-1432)Online publication date: 2024
https://doi.org/10.1016/j.procs.2024.06.315
Carrera-Rivera ALarrinaga FLasa GMartinez-Arellano GUnamuno G(2024)AdaptUI: A Framework for the development of Adaptive User Interfaces in Smart Product-Service SystemsUser Modeling and User-Adapted Interaction10.1007/s11257-024-09414-0Online publication date: 12-Aug-2024
https://doi.org/10.1007/s11257-024-09414-0
Ali MKhan SMashkoor ATaskeen A(2024)A conceptual framework for context-driven self-adaptive intelligent user interface based on AndroidCognition, Technology & Work10.1007/s10111-023-00749-z26:1(83-106)Online publication date: 3-Jan-2024
https://doi.org/10.1007/s10111-023-00749-z
Show More Cited By

Index Terms

Adapt-UI: an IDE supporting model-driven development of self-adaptive UIs
1. Human-centered computing
  1. Human computer interaction (HCI)
2. Software and its engineering
  1. Software notations and tools
    1. Development frameworks and environments
      1. Integrated and visual development environments

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Information

Published In

cover image ACM Conferences

EICS '17: Proceedings of the ACM SIGCHI Symposium on Engineering Interactive Computing Systems

June 2017

164 pages

ISBN:9781450350839

DOI:10.1145/3102113

Conference Chairs:
José Creissac Campos,
Nuno Nunes

Copyright © 2017 Owner/Author.

Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 June 2017

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German Federal Ministry of Education and Research (BMBF)

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EICS '17

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SIGCHI

EICS '17: ACM SIGCHI Symposium on Engineering Interactive Computing Systems

June 26 - 29, 2017

Lisbon, Portugal

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Overall Acceptance Rate 73 of 299 submissions, 24%

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Cited By

Märtin CHerdin C(2024)Enabling real-time adaptations for individualized customer experience in user-centered e-business applicationsProcedia Computer Science10.1016/j.procs.2024.06.315239(1425-1432)Online publication date: 2024
https://doi.org/10.1016/j.procs.2024.06.315
Carrera-Rivera ALarrinaga FLasa GMartinez-Arellano GUnamuno G(2024)AdaptUI: A Framework for the development of Adaptive User Interfaces in Smart Product-Service SystemsUser Modeling and User-Adapted Interaction10.1007/s11257-024-09414-0Online publication date: 12-Aug-2024
https://doi.org/10.1007/s11257-024-09414-0
Ali MKhan SMashkoor ATaskeen A(2024)A conceptual framework for context-driven self-adaptive intelligent user interface based on AndroidCognition, Technology & Work10.1007/s10111-023-00749-z26:1(83-106)Online publication date: 3-Jan-2024
https://doi.org/10.1007/s10111-023-00749-z
Tajja YMartin L(2024)Adapting User Interfaces for Urban Data Platforms: A Research StudyProceedings of Ninth International Congress on Information and Communication Technology10.1007/978-981-97-5035-1_37(481-490)Online publication date: 23-Oct-2024
https://doi.org/10.1007/978-981-97-5035-1_37
Herdin CMärtin CSchmidberger F(2024)Design and User Acceptance of Dynamic User Interface Adaptations Based on Situation-Awareness and Emotion-RecognitionHuman-Computer Interaction10.1007/978-3-031-60405-8_22(345-356)Online publication date: 1-Jun-2024
https://doi.org/10.1007/978-3-031-60405-8_22
Weber TMourao Thiel RMayer S(2023)Supporting Software Developers Through a Gaze-Based Adaptive IDEProceedings of Mensch und Computer 202310.1145/3603555.3603571(267-276)Online publication date: 3-Sep-2023
https://dl.acm.org/doi/10.1145/3603555.3603571
Chiou PAlotaibi AHalfond WGrundy JPollock LPenta M(2023)Detecting Dialog-Related Keyboard Navigation Failures in Web ApplicationsProceedings of the 45th International Conference on Software Engineering10.1109/ICSE48619.2023.00120(1368-1380)Online publication date: 14-May-2023
https://dl.acm.org/doi/10.1109/ICSE48619.2023.00120
Luy CLaw JHo LMatheson RCai TMadugalla AGrundy J(2021)A Toolkit for Building More Adaptable User Interfaces for Vision-Impaired Users2021 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)10.1109/VL/HCC51201.2021.9576203(1-5)Online publication date: 10-Oct-2021
https://doi.org/10.1109/VL/HCC51201.2021.9576203
Yigitbas EGorissen SWeidmann NEngels G(2021)Collaborative Software Modeling in Virtual Reality2021 ACM/IEEE 24th International Conference on Model Driven Engineering Languages and Systems (MODELS)10.1109/MODELS50736.2021.00034(261-272)Online publication date: Oct-2021
https://doi.org/10.1109/MODELS50736.2021.00034
Biermeier KYigitbas EWeidmann NEngels G(2021)Ensuring User Interface Adaptation Consistency Through Triple Graph GrammarsSense, Feel, Design10.1007/978-3-030-98388-8_17(183-192)Online publication date: 30-Aug-2021
https://dl.acm.org/doi/10.1007/978-3-030-98388-8_17
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