Keep Your Scanners Peeled

Objective: The feasibility of measuring drivers’ automation trust via gaze behavior during highly automated driving was assessed with eye tracking and validated with self-reported automation trust in a driving simulator study. Background: Earlier research from other domains indicates that drivers’ automation trust might be inferred from gaze behavior, such as monitoring frequency. Method: The gaze behavior and self-reported automation trust of 35 participants attending to a visually demanding non-driving-related task (NDRT) during highly automated driving was evaluated. The relationship between dispositional, situational, and learned automation trust with gaze behavior was compared. Results: Overall, there was a consistent relationship between drivers’ automation trust and gaze behavior. Participants reporting higher automation trust tended to monitor the automation less frequently. Further analyses revealed that higher automation trust was associated with lower monitoring frequency of the automation during NDRTs, and an increase in trust over the experimental session was connected with a decrease in monitoring frequency. Conclusion: We suggest that (a) the current results indicate a negative relationship between drivers’ self-reported automation trust and monitoring frequency, (b) gaze behavior provides a more direct measure of automation trust than other behavioral measures, and (c) with further refinement, drivers’ automation trust during highly automated driving might be inferred from gaze behavior. Application: Potential applications of this research include the estimation of drivers’ automation trust and reliance during highly automated driving.

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

[2]  W. C. Howell.  of the Human Factors and Ergonomics Society , 2010 .

[3]  C. Wickens.  Engineering psychology and human performance, 2nd ed. , 1992 .

[4]  E. Salas,et al.  Human Factors : The Journal of the Human Factors and Ergonomics Society , 2012 .

[5]  M Saffarian,et al.  Why do drivers maintain short headways in fog? A driving-simulator study evaluating feeling of risk and lateral control during automated and manual car following , 2012, Ergonomics.

[6]  Paul C. Schutte,et al.  Human automation interaction , 2018 .

[7]  Holly A. Yanco,et al.  Identifying Factors that Influence Trust in Automated Cars and Medical Diagnosis Systems , 2014, AAAI Spring Symposia.

[8]  G. Fine,et al.  Secrecy, Trust, and Dangerous Leisure: Generating Group Cohesion in Voluntary Organizations , 1996 .

[9]  Mohammad T. Khasawneh,et al.  Measurement of Human Trust in a Hybrid Inspection for Varying Error Patterns , 2002 .

[10]  J. Krems,et al.  The evolution of mental model, trust and acceptance of adaptive cruise control in relation to initial information , 2013 .

[11]  Kazuo Tanaka,et al.  DYNAMICS OF DRIVERS' TRUST IN WARNING SYSTEMS , 2002 .

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

[13]  Jacob Cohen,et al.  A power primer. , 1992, Psychological bulletin.

[14]  Klaus Bengler,et al.  “Take over!” How long does it take to get the driver back into the loop? , 2013 .

[15]  Paul M. Fitts,et al.  Eye movements of aircraft pilots during instrument-landing approaches. , 1950 .

[16]  Linden J. Ball,et al.  Eye tracking in HCI and usability research. , 2006 .

[17]  David P. Biros,et al.  The Influence of Task Load and Automation Trust on Deception Detection , 2004 .

[18]  Josef F. Krems,et al.  Effects of Take-Over Requests and Cultural Background on Automation Trust in Highly Automated Driving , 2017 .

[19]  Dot Hs,et al.  Human Factors Evaluation of Level 2 And Level 3 Automated Driving Concepts Past Research, State of Automation Technology, and Emerging System Concepts , 2014 .

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

[21]  Scott M. Galster,et al.  Effects of Reliable and Unreliable Automation on Subjective Measures of Mental Workload, Situation Awareness, Trust and Confidence in a Dynamic Flight Task , 2004 .

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

[23]  Y. Benjamini,et al.  Controlling the false discovery rate: a practical and powerful approach to multiple testing , 1995 .

[24]  Raja Parasuraman,et al.  Complacency and Bias in Human Use of Automation: An Attentional Integration , 2010, Hum. Factors.

[25]  Y. Ian Noy,et al.  Behavioural Adaptation to In-Vehicle Safety Measures , 2004 .

[26]  D. Watson,et al.  Constructing validity: Basic issues in objective scale development , 1995 .

[27]  Werner Huber,et al.  Experience, Results and Lessons Learned from Automated Driving on Germany's Highways , 2015, IEEE Intelligent Transportation Systems Magazine.

[28]  Christopher B. Mayhorn,et al.  WARNINGS AND HAZARD COMMUNICATIONS , 2006, Handbook of Human Factors and Ergonomics.

[29]  L. Cronbach,et al.  Construct validity in psychological tests. , 1955, Psychological bulletin.

[30]  Charles A. Green,et al.  Human Factors Issues Associated with Limited Ability Autonomous Driving Systems: Drivers’ Allocation of Visual Attention to the Forward Roadway , 2017 .

[31]  A. Inhoff,et al.  Chapter 2 – Definition and Computation of Oculomotor Measures in the Study of Cognitive Processes , 1998 .

[32]  G. Jamieson,et al.  CONSIDERING SUBJECTIVE TRUST AND MONITORING BEHAVIOR IN ASSESSING AUTOMATION-INDUCED “COMPLACENCY” , 2004 .

[33]  J. G. Hollands,et al.  Engineering Psychology and Human Performance , 1984 .

[34]  Laurence W. Grimes,et al.  Measurement of trust over time in hybrid inspection systems , 2005 .

[35]  Roderick M. Kramer,et al.  Trust and distrust in organizations: emerging perspectives, enduring questions. , 1999, Annual review of psychology.

[36]  Linden J. Ball,et al.  Eye Tracking in Human-Computer Interaction and Usability Research : Current Status and Future Prospects , 2004 .

[37]  Tommy Strandvall,et al.  Eye Tracking in Human-Computer Interaction and Usability Research , 2009, INTERACT.

[38]  Mark R. Lehto,et al.  Foundations for an Empirically Determined Scale of Trust in Automated Systems , 2000 .

[39]  Toshiyuki Inagaki,et al.  Laboratory studies of trust between humans and machines in automated systems , 1999 .