Mouse Augmentation using a Malleable Mouse Pad

Takuro Kuribara, Buntarou Shizuki, Jiro Tanaka

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

Abstract

We present mouse augmentation that uses a malleable mouse pad, which is named “Sinkpad”. Sinkpad augments mouse functionalities by allowing a user to sink the mouse into the pad and tilt the mouse on the pad. In addition, the user is provided with haptic feedback via the mouse on the pad. Sinkpad allows the user to perform: sink, tilt, and sink+move actions. This paper describes Sinkpad, its applications, and its evaluation.

Original languageEnglish
Title of host publicationHuman-Computer Interaction: Interaction Technologies - 17th International Conference, HCI International 2015, Proceedings
PublisherSpringer Verlag
Pages217-226
Number of pages10
Volume9170
ISBN (Print)9783319209159
DOIs
Publication statusPublished - 2015
Externally publishedYes
Event17th International Conference on Human-Computer Interaction, HCI International 2015 - Los Angeles, United States
Duration: 2015 Aug 22015 Aug 7

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9170
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other17th International Conference on Human-Computer Interaction, HCI International 2015
CountryUnited States
CityLos Angeles
Period15/8/215/8/7

Keywords

  • Haptic feedback
  • Hybrid interaction device
  • Input device
  • Interaction technique
  • Malleable surface
  • Overlapping windows
  • Window management

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

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  • Cite this

    Kuribara, T., Shizuki, B., & Tanaka, J. (2015). Mouse Augmentation using a Malleable Mouse Pad. In Human-Computer Interaction: Interaction Technologies - 17th International Conference, HCI International 2015, Proceedings (Vol. 9170, pp. 217-226). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9170). Springer Verlag. https://doi.org/10.1007/978-3-319-20916-6_21