“VisualIDs: automatic distinctive icons for desktop interfaces” by Lewis, Rosenholtz, Fong and Neumann

  • ©J. P. Lewis, Ruth Rosenholtz, Nickson Fong, and Ulrich Neumann




    VisualIDs: automatic distinctive icons for desktop interfaces



    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.


    1. BARREAU, D., AND NARDI, B. 1995. Finding and reminding: File organization from the desktop. SIGCHI Bulletin 27, 3, 39–43. Google ScholarDigital Library
    2. BYRNE, M. 1993. Using icons to find documents: simplicity is critical. In Proceedings of INTERCHI ’93. ACM, 446–453. Google ScholarDigital Library
    3. CARD, S., ROBERTSON, G., AND MACKINLAY, J. 1991. The information visualizer, an information workspace. In Proceedings CHI, ACM, 181–288. Google ScholarDigital Library
    4. CZERWINSKI, M. P., VAN DANTZICH, M., ROBERTSON, G., AND HOFFMAN, H. 1999. The contribution of thumbnail image, mouse-over text and spatial location memory to web page retrieval in 3D. In Proc. INTERACT, 163–170.Google Scholar
    5. DARKEN, R., AND SIBERT, J. 1996. Navigating large virtual spaces. Int. J. Human-Computer Interaction 8, 1, 49–71. Google ScholarDigital Library
    6. DONELSON, W. 1978. Spatial management of information. In Computer Graphics (Proc. ACM SIGGRAPH 78), 203–209. Google ScholarDigital Library
    7. DORFMAN, D., AND MCKENNA, H. 1966. Pattern preference as a function of pattern uncertainty. Canadian J. Psych. 20, 143–153.Google ScholarCross Ref
    8. EBERT, D., MUSGRAVE, F. K., PEACHEY, D., PERLIN, K., AND WORLEY, S. 1998. Texturing & Modeling: A Procedural Approach. Academic Press, Inc. Google ScholarDigital Library
    9. GIPS, J. 1975. Shape Grammars and their Uses. Birkhauser.Google Scholar
    10. GRAHAM, S. 1994. String Searching Algorithms. World Scientific, Singapore.Google Scholar
    11. HIGHTOWER, R., RING, L., HELFMAN, J., BEDERSON, B., AND HOLLAN, J. 1998. Graphical multiscale web histories: A study of PadPrints. In Proceedings Ninth ACM Conference on Hypertext and Hypermedia, ACM, ACM, 58–65. Google ScholarDigital Library
    12. HILL, W. C., HOLLAN, J. D., WROBLEWSKI, D., AND MCCANDLESS, T. 1992. Edit wear and read wear. In Proc. CHI, ACM, 3–9. Google ScholarDigital Library
    13. HORTON, W. 1996. Designing icons and visual symbols. In CHI Course Notes. ACM. Google ScholarDigital Library
    14. INGRAM, R., AND BENFORD, S. 1995. Legibility enhancement for information visualisation. In Proc. IEEE Visualization, IEEE, 209–216. Google ScholarDigital Library
    15. INTRAUB, H. 1981. Rapid conceptual identification of sequentially presented pictures. J. Experimental Psychology: Human Perception and Performance 7, 3, 604–610.Google ScholarCross Ref
    16. JACOBS, C. E., FINKELSTEIN, A., AND SALESIN, D. H. 1995. Fast multiresolution image querying. Computer Graphics 29, Annual Conference Series, 277–286. Google ScholarDigital Library
    17. JONES, W., AND DUMAIS, S. 1986. The spatial metaphor for user interfaces: Experimental tests of reference by location versus name. ACM Trans. Office Information Systems 4, 1, 42–63. Google ScholarDigital Library
    18. LANSDALE, M. 1988. The psychology of personal information management. Applied Ergonomics 19, 1, 55–66.Google ScholarCross Ref
    19. LEUNG, Y. K., AND APPERLEY, M. 1994. A review and taxonomy of distortion-oriented presentation techniques. ACM Trans. Computer-Human Interaction 1, 2, 126–160. Google ScholarDigital Library
    20. MACKINLAY, J., CARD, S., AND ROBERTSON, G. 1991. Perspective wall: Detail and context smoothly integrated. In Proceedings of SIGCHI, ACM, 173–179. Google ScholarDigital Library
    21. MAGLIO, P., AND BARRETT, R., 1997. On the trail of information searchers. In Proceedings of the Nineteenth Annual Conference of the Cognitive Science Society. Mahwah, NJ: LEA.Google Scholar
    22. MALONE, T. 1983. How do people organise their desks? Implications for the design of office information systems. ACM Trans. Office Info. Systems 1, 1, 99–112. Google ScholarDigital Library
    23. MARKS, J., ANDALMAN, B., BEARDSLEY, P. A., FREEMAN, W., GIBSON, S., HODGINS, J., KANG, T., MIRTICH, B., PFISTER, H., RUML, W., RYALL, K., SEIMS, J., AND SHIEBER, S. 1997. Design galleries: a general approach to setting parameters for computer graphics and animation. Proc. ACM SIGGRAPH 1997 31, Annual Conference Series, 389–400. Google ScholarDigital Library
    24. MARRIOTT, K., MEYER, B., AND WITTENBURG, K. 1998. A survey of visual language specification and recognition. In Visual Language Theory, B. M. K. Marriott, Ed. Springer, Berlin. Google ScholarDigital Library
    25. MUKHERJEA, S. 1999. Information visualization for hypermedia systems. ACM Computing Surveys 31, 4es, 1–6. Google ScholarDigital Library
    26. NIELSEN, J., AND LYNGBAEK, U. 1989. Two field studies of hypermedia usability. In Hypertext: State of the Art, Ablex, R. McAleese and C. Green, Eds., 64–72.Google Scholar
    27. NIELSEN, J. 1993. Usability Engineering. Academic, London. PAIVIO, A. 1974. Pictures and words in visual search. Memory & Cognition 2, 3, 515–521.Google Scholar
    28. PERLIN, K., AND FOX, D. 1993. Pad – an alternative approach to the computer interface. In Proc. ACM SIGGRAPH 1993, ACM, 57–64. Google ScholarDigital Library
    29. ROBERTSON, G., CZERWINSKI, M., LARSON, K., ROBBINS, D., THIEL, D., AND VAN DANTZICH, M. 1998. Data Mountain: using spatial memory for document management. In Proc. User Interface Software and Technology (UIST), ACM, 153–162. Google ScholarDigital Library
    30. RUDDLE, R., PAYNE, S., AND JONES, D. 1997. Navigating buildings in desktop virtual environments: Experimental investigations using extended navigational experience. J. Experimental Psychology – Applied 3, 2, 143–159.Google ScholarCross Ref
    31. SEARLEMAN, A., AND HERRMANN, D. 1994. Memory from a Broader Perspective. McGraw Hill, New York.Google Scholar
    32. SHEPARD, R. 1967. Recognition memory for words, sentences, and pictures. J. Verbal Learning Verbal Behavior 6, 156–163.Google ScholarCross Ref
    33. SIMS, K. 1991. Artificial evolution for computer graphics. In Computer Graphics (Proc. ACM SIGGRAPH 91), ACM, 319–328. Google ScholarDigital Library
    34. STANDING, L. CONEZIO, J., AND HABER, R. 1970. Perception and memory for pictures: Single-trial learning of 2560 visual stimuli. Psychonomic Sci. 19, 73–74.Google ScholarCross Ref
    35. STEFANUCCI, J. K., AND PROFFITT, D. R., 2002. Providing distinctive cues to augment human memory. Poster, 24th Annual meeting of the Cognitive Science Society, Fairfax, VA.Google Scholar
    36. TAN, D., STEFANUCCI, J., PROFFITT, D., AND PAUSCH, R., 2001. The Infocockpit: Providing location and place to aid human memory.Google ScholarDigital Library
    37. TREISMAN, A. M., AND GELADE, G. 1980. A feature-integration theory of attention. Cognitive Psych. 12, 97–136.Google ScholarCross Ref
    38. WONKA, P., WIMMER, M., SILLION, F., AND RIBARSKY, W. 2003. Instant architecture. ACM Trans. Graph. 22, 3, 669–677. Google ScholarDigital Library
    39. WORDNET. Wordnet 1.7. www.cogsci.princeton.edu/~wn.Google Scholar

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