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The importance of visual attention for adaptive interfaces

Published: 06 September 2016 Publication History

Abstract

Efficient user interfaces help their users to accomplish their tasks by adapting to their current needs. The processes involved before and during interface adaptation are complex and crucial for the success and acceptance of a user interface. In this work we identify these processes and propose a framework that demonstrates the benefits that can be gained by utilizing the user's visual attention in the context of adaptive cartographic maps.

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    cover image ACM Conferences
    MobileHCI '16: Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct
    September 2016
    664 pages
    ISBN:9781450344135
    DOI:10.1145/2957265
    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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    Publication History

    Published: 06 September 2016

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    Author Tags

    1. gaze-based interaction
    2. interface adaptation
    3. visual attention

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    Overall Acceptance Rate 202 of 906 submissions, 22%

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    • (2023)Adaptivity as a key feature of mobile maps in the digital eraFrontiers in Communication10.3389/fcomm.2023.12588518Online publication date: 1-Nov-2023
    • (2021)Improving Resilience by Communicating Predicted Disruptions in Control RoomsSense, Feel, Design10.1007/978-3-030-98388-8_27(302-315)Online publication date: 30-Aug-2021
    • (2019)Supervisors’ Visual Attention Allocation Modeling Using Hybrid EntropyEntropy10.3390/e2104039321:4(393)Online publication date: 12-Apr-2019
    • (2019)FeaturEyeTrack: automatic matching of eye tracking data with map features on interactive mapsGeoInformatica10.1007/s10707-019-00344-3Online publication date: 9-Mar-2019
    • (2018)Leveraging eye-gaze and time-series features to predict user interests and build a recommendation model for visual analysisProceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications10.1145/3204493.3204546(1-9)Online publication date: 14-Jun-2018
    • (2018)Improving map reading with gaze-adaptive legendsProceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications10.1145/3204493.3204544(1-9)Online publication date: 14-Jun-2018
    • (2018)GazeFormProceedings of the 2018 Designing Interactive Systems Conference10.1145/3196709.3196712(1193-1205)Online publication date: 8-Jun-2018

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