Collaboration with DiamondTouch

Stephen G. Kobourov, Kyriacos Pavlou, Justin Cappos, Michael Stepp, Mark Miles, Amanda Wixted

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

7 Scopus citations

Abstract

We study the performance of collaborative spatial/visual tasks under different input configurations. The configurations used are a traditional mouse-monitor, a shared-monitor with multiple-mice, and a multi-user input device (DiamondTouch). Our experiments indicate that there is a significant variation in performance for the different configurations with pairs of users, while there is no such variation with individual users. The traditional configuration is not well-suited for collaborative tasks, and even after augmenting it to a shared monitor with multiple-mice it is still significantly inferior to the multi-user input device.

Original languageEnglish (US)
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages986-989
Number of pages4
DOIs
StatePublished - Dec 1 2005
Event1st International Conference on Advanced Data Mining and Applications, ADMA 2005 - Wuhan, China
Duration: Jul 22 2005Jul 24 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3585 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other1st International Conference on Advanced Data Mining and Applications, ADMA 2005
CountryChina
CityWuhan
Period7/22/057/24/05

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Kobourov, S. G., Pavlou, K., Cappos, J., Stepp, M., Miles, M., & Wixted, A. (2005). Collaboration with DiamondTouch. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 986-989). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3585 LNCS). https://doi.org/10.1007/11555261_86