Development of a Technique for Predicting the Human Response to an Emergency Situation

  • Authors:

  • Glyn Lawson;Sarah Sharples;David Clarke;Sue Cobb

  • Affiliations:

  • Human Factors Research Group, Faculty of Engineering, The University of Nottingham, United Kingdom NG7 2RD;Human Factors Research Group, Faculty of Engineering, The University of Nottingham, United Kingdom NG7 2RD;School of Psychology, The University of Nottingham, United Kingdom NG7 2RD;Human Factors Research Group, Faculty of Engineering, The University of Nottingham, United Kingdom NG7 2RD

  • Venue:
  • EPCE '09 Proceedings of the 8th International Conference on Engineering Psychology and Cognitive Ergonomics: Held as Part of HCI International 2009
  • Year:
  • 2009

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Abstract

This paper presents development work on a new approach for predicting the human response to an emergency situation. The study builds upon an initial investigation in which 20 participants were asked to predict what actions they would take in the event of a domestic fire [1]. The development work involved a retest with an additional 20 participants to investigate the reliability of the approach. Furthermore, the analysis procedure was improved such that the results represented more accurately those which could be obtained from practical application of the approach. As found in the initial investigation, the frequencies and sequences of the reported acts had significant relationships with a study of behavior in real fires [2] (Spearman's rho: 0.323, N=55, p