Capturing the effects of context on human performance in mobile computing systems

Leon Barnard, Ji Soo Yi, Julie A. Jacko, Andrew L. Sears

Research output: Contribution to journalArticlepeer-review

106 Scopus citations

Abstract

Many real world mobile device interactions occur in context-rich environments. However, the majority of empirical studies on mobile computing are conducted in static or idealized conditions, resulting in a deficit of understanding of how changes in context impact users' abilities to perform effectively. This paper attempts to address the disconnect between the actual use and the evaluation of mobile devices by varying contextual conditions and recording changes in behavior. A study was performed to investigate the specific effects of changes in motion, lighting, and task type on user performance and workload. The results indicate that common contextual variations can lead to dramatic changes in behavior and that interactions between contextual factors are also important to consider.

Original languageEnglish (US)
Pages (from-to)81-96
Number of pages16
JournalPersonal and Ubiquitous Computing
Volume11
Issue number2
DOIs
StatePublished - Feb 1 2007

All Science Journal Classification (ASJC) codes

  • Hardware and Architecture
  • Computer Science Applications
  • Management Science and Operations Research

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