Towards a mobility enhanced user interface design for multi-task environments: An experimental study on cognitive workload measurement

Takahiro Iwata*, Tetsuo Yamabe, Tatsuo Nakajima

*Corresponding author for this work

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

3 Citations (Scopus)

Abstract

Mobile user interfaces are currently not well designed with considering mobility. The usability of mobile services becomes degraded while moving, since a user cannot pay enough attention to the service in a multi-task environment. Thus, it is important for mobile services to convey information to a user with less cognitive workload. In this paper, we address design issues to enhance the mobility of mobile services, and evaluate the workload caused from cognitive processes in a multi-task environment. Taking cross-modal and cross-device interactions into consideration, three factors are focused as variable parameters in the experiment: device type, contents format and information volume. Based on the experimental results, we discuss how these factors affect a cognitive process in a mobile interaction. Future work is also implicated in order to apply the findings to actual mobile user interface design.

Original languageEnglish
Title of host publicationProceedings - 2010 6th International Conference on Intelligent Environments, IE 2010
Pages106-111
Number of pages6
DOIs
Publication statusPublished - 2010 Dec 1
Event2010 6th International Conference on Intelligent Environments, IE 2010 - Kuala Lumpur, Malaysia
Duration: 2010 Jul 192010 Jul 21

Publication series

NameProceedings - 2010 6th International Conference on Intelligent Environments, IE 2010

Conference

Conference2010 6th International Conference on Intelligent Environments, IE 2010
Country/TerritoryMalaysia
CityKuala Lumpur
Period10/7/1910/7/21

Keywords

  • Cognitive workload
  • Component
  • Human factors
  • Mobile computing environments
  • User interface design

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications

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