The role of intervening variables in driver-ACC cooperation

  • Authors:

  • Bako Rajaonah;Nicolas Tricot;Françoise Anceaux;Patrick Millot

  • Affiliations:

  • Laboratoire d'Automatique, de Mécanique et Informatique Industrielles et Humaines, UMR CNRS 8530, Université de Valenciennes et du Hainaut-Cambrésis, Le Mont-Houy, 59313 Valencienne ...;Laboratoire d'Automatique, de Mécanique et Informatique Industrielles et Humaines, UMR CNRS 8530, Université de Valenciennes et du Hainaut-Cambrésis, Le Mont-Houy, 59313 Valencienne ...;Laboratoire d'Automatique, de Mécanique et Informatique Industrielles et Humaines, UMR CNRS 8530, Université de Valenciennes et du Hainaut-Cambrésis, Le Mont-Houy, 59313 Valencienne ...;Laboratoire d'Automatique, de Mécanique et Informatique Industrielles et Humaines, UMR CNRS 8530, Université de Valenciennes et du Hainaut-Cambrésis, Le Mont-Houy, 59313 Valencienne ...

  • Venue:
  • International Journal of Human-Computer Studies
  • Year:
  • 2008

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Abstract

This paper analyzes the behavior of drivers using Adaptive Cruise Control (ACC) within the theoretical framework of Human-Machine Cooperation. The study was carried out on a driving simulator. Driving task performance data and responses to a trust questionnaire were analyzed in order to examine the relationship between driver reliance on ACC and such intervening variables as trust, perceived workload and perceived risk. The participants were divided a posteriori into two groups according to their use of the ACC device during the experimental run. The results show that high-use drivers seemed to cooperate more with ACC than low-use drivers, who tended to perceive more risk and a higher workload. These findings are discussed in the light of Riley's theory of operator reliance on automation.