Risk behaviour and mental workload: Multimodal assessment techniques applied to motorbike riding simulation

We present data from an ongoing research project on the cognitive, emotional and neuropsychological basis of risk behavior. The main aim of the project is to build a model of risk behavior so that if we know certain cognitive, behavioral and emotional variables, we will be able to predict decisions made in the face of uncertainty and risk, with the final goal of designing programs for evaluating, preventing and controlling risk behavior. The objective of the present study was to look for individual differences in hazard perception during a static riding simulation and their relationship with mental workload. We used a multidimensional methodology, including behavioral, subjective and physiological data. The behavioral measures were obtained in a static riding simulation during eight hazard situations. We evaluated whether eye activity measures correlated with cognitive workload and different types of risky behaviors. Eye movement parameters were measured using a video-based eye tracking system. We found that risk-prone individuals showed specific patterns of risky behaviors and that peak of saccadic velocity and subjective mental workload indexes were both reliable indicators of risk proneness. Mental workload was higher for participants showing attitudes to risk behaviors probably because of a lack of conscious awareness of specific cues indicating dangerous scenarios.

Language

  • English

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  • Accession Number: 01144691
  • Record Type: Publication
  • Files: TRIS, ATRI
  • Created Date: Nov 17 2009 2:59PM