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VisualIDs: automatic distinctive icons for desktop interfaces

Published: 01 August 2004 Publication History

Abstract

Although existing GUIs have a sense of space, they provide no sense of place. Numerous studies report that users misplace files and have trouble wayfinding in virtual worlds despite the fact that people have remarkable visual and spatial abilities. This issue is considered in the human-computer interface field and has been addressed with alternate display/navigation schemes. Our paper presents a fundamentally graphics based approach to this 'lost in hyperspace' problem. Specifically, we propose that spatial display of files is not sufficient to engage our visual skills; scenery (distinctive visual appearance) is needed as well. While scenery (in the form of custom icon assignments) is already possible in current operating systems, few if any users take the time to manually assign icons to all their files. As such, our proposal is to generate visually distinctive icons ("VisualIDs") automatically, while allowing the user to replace the icon if desired. The paper discusses psychological and conceptual issues relating to icons, visual memory, and the necessary relation of scenery to data. A particular icon generation algorithm is described; subjects using these icons in simulated file search and recall tasks show significantly improved performance with little effort. Although the incorporation of scenery in a graphical user interface will introduce many new (and interesting) design problems that cannot be addressed in this paper, we show that automatically created scenery is both beneficial and feasible.

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    cover image ACM Transactions on Graphics
    ACM Transactions on Graphics  Volume 23, Issue 3
    August 2004
    684 pages
    ISSN:0730-0301
    EISSN:1557-7368
    DOI:10.1145/1015706
    Issue’s Table of Contents
    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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    Publication History

    Published: 01 August 2004
    Published in TOG Volume 23, Issue 3

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    Author Tags

    1. Information retrieval
    2. pattern synthesis
    3. psychology

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    • (2019)Learning icons appearance similarityMultimedia Tools and Applications10.1007/s11042-018-6628-778:8(10733-10751)Online publication date: 1-Apr-2019
    • (2017)The Effects of Artificial Landmarks on Learning and Performance in Spatial-Memory InterfacesProceedings of the 2017 CHI Conference on Human Factors in Computing Systems10.1145/3025453.3025497(3843-3855)Online publication date: 2-May-2017
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