Providing an efficient way to make desktop icons visible

Toshiya Akasaka, Yusaku Okada

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Desktop icons allow users to access files/programs quickly. Some users are struggling to adapt their window management strategy to secure the visibility of desktop icons. In this paper, we propose an approach to provide users with an efficient way to make desktop icons visible in order to reduce the workload of window management. The approach was developed based on careful considerations to the context in which we aim to help users. The experimental results showed that out approach made the process of making desktop icons visible faster. However, it was not confirmed that the workload of window management was reduced.

Original languageEnglish
Title of host publicationHuman-Computer Interaction
Subtitle of host publicationNew Trends - 13th International Conference, HCI International 2009, Proceedings
Pages569-578
Number of pages10
EditionPART 1
DOIs
Publication statusPublished - 2009 Oct 28
Event13th International Conference on Human-Computer Interaction, HCI International 2009 - San Diego, CA, United States
Duration: 2009 Jul 192009 Jul 24

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume5610 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other13th International Conference on Human-Computer Interaction, HCI International 2009
CountryUnited States
CitySan Diego, CA
Period09/7/1909/7/24

Keywords

  • Desktop Environment
  • Desktop icons
  • Display space management
  • Window management

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Akasaka, T., & Okada, Y. (2009). Providing an efficient way to make desktop icons visible. In Human-Computer Interaction: New Trends - 13th International Conference, HCI International 2009, Proceedings (PART 1 ed., pp. 569-578). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5610 LNCS, No. PART 1). https://doi.org/10.1007/978-3-642-02574-7_64