Designer driving: drivers' conceptual models and level of trust in adaptive cruise control

A driving simulator study was completed in order to examine drivers' level of trust and the type of Conceptual Model (CM) they held of an Adaptive Cruise Control system (ACC). Fifteen drivers participated in a ten days study where they were allocated to varying percentage of ACC reliability conditions (100%, 50%, 0%). Results demonstrated inappropriate levels of self-reported trust in relation to the corresponding level of reliability. In addition the DCMs were consolidated over a short period of time, but they did not match that of designers' model of ACC, thus better design solutions may be warranted.

[1]  Edward Hoare,et al.  LONGITUDINAL DRIVER SUPPORT SYSTEMS , 1997 .

[2]  Oliver Carsten Mind Over Matter: Who's Controlling the Vehicle and How do We Know? , 2005 .

[3]  N. Moray,et al.  Trust in automation. Part II. Experimental studies of trust and human intervention in a process control simulation. , 1996, Ergonomics.

[4]  E. Harmon-Jones,et al.  Cognitive dissonance: Progress on a pivotal theory in social psychology. , 1999 .

[5]  Gerald J.S. Wilde,et al.  The Theory of Risk Homeostasis: Implications for Safety and Health , 1982 .

[6]  David Harris,et al.  Evaluating the transfer of technology between application domains: a critical evaluation of the huma , 2004 .

[7]  James R. Sayer,et al.  Automatic Target Acquisition Autonomous Intelligent Cruise Control (AICC): Driver Comfort, Acceptance, and Performance in Highway Traffic , 1995 .

[8]  N. Moray,et al.  Adaptive automation, trust, and self-confidence in fault management of time-critical tasks. , 2000, Journal of experimental psychology. Applied.

[9]  Thomas B. Sheridan,et al.  Human and Computer Control of Undersea Teleoperators , 1978 .

[10]  Mark S. Young,et al.  Drive-by-wire: The case of driver workload and reclaiming control with adaptive cruise control , 1997 .

[11]  Christina M. Rudin-Brown,et al.  BEHAVIOURAL ADAPTATION TO ADAPTIVE CRUISE CONTROL (ACC): IMPLICATIONS FOR PREVENTIVE STRATEGIES , 2004 .

[12]  Marika Hoedemaeker,et al.  Behavioural adaptation to driving with an adaptive cruise control (ACC) , 1998 .

[13]  Neville A Stanton,et al.  Driver behaviour with adaptive cruise control , 2005, Ergonomics.

[14]  D A Norman,et al.  The 'problem' with automation: inappropriate feedback and interaction, not 'over-automation'. , 1990, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[15]  Bonnie M. Muir,et al.  Trust in automation. I: Theoretical issues in the study of trust and human intervention in automated systems , 1994 .

[16]  D. M. Hoedemaeker Behavioral reactions to advanced cruise control: results of a driving simulator experiment , 2000 .

[17]  L. Bainbridge Ironies of Automation , 1982 .

[18]  M R Endsley,et al.  Level of automation effects on performance, situation awareness and workload in a dynamic control task. , 1999, Ergonomics.

[19]  Yvonne Rogers,et al.  Interaction Design: Beyond Human-Computer Interaction , 2002 .

[20]  Christopher D. Wickens,et al.  A model for types and levels of human interaction with automation , 2000, IEEE Trans. Syst. Man Cybern. Part A.

[21]  John D. Lee,et al.  Trust in Automation: Designing for Appropriate Reliance , 2004 .

[22]  R. Young Surrogates and mappings: two kinds of conceptual models for interactive , 1983 .

[23]  Raja Parasuraman,et al.  Humans and Automation: Use, Misuse, Disuse, Abuse , 1997, Hum. Factors.

[24]  Richard J. Hanowski,et al.  Driver Acceptance of Unreliable Traffic Information in Familiar and Unfamiliar Settings , 1997, Hum. Factors.

[25]  Austin Henderson,et al.  Interaction design: beyond human-computer interaction , 2002, UBIQ.

[26]  Jens Rasmussen,et al.  Cognitive Systems Engineering , 2022 .

[27]  David Greathead,et al.  When mental models go wrong: co-occurrences in dynamic, critical systems , 2004, Int. J. Hum. Comput. Stud..

[28]  N Moray,et al.  Trust, control strategies and allocation of function in human-machine systems. , 1992, Ergonomics.

[29]  David B. Kaber,et al.  The effects of level of automation and adaptive automation on human performance, situation awareness and workload in a dynamic control task , 2004 .

[30]  S Lewandowsky,et al.  The dynamics of trust: comparing humans to automation. , 2000, Journal of experimental psychology. Applied.