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

  • Authors:
  • Leon Barnard;Ji Soo Yi;Julie A. Jacko;Andrew Sears

  • Affiliations:
  • H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, USA;H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, USA;Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University School of Medicine, USA;Interactive Systems Research Center UMBC, USA

  • Venue:
  • Personal and Ubiquitous Computing
  • Year:
  • 2007

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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.