Towards a Framework for Testing Drivers' Interaction with Partially Automated Driving

Partially automated driving takes away driving control from the driver in situations which allow complete automation, but leaves final responsibility for safe driving at the human operator. Accordingly, the driver's role changes to supervision, and - occasionally - intervention. For testing required solutions to support drivers' new interaction with partially automated driving systems, this study proposes an assessment framework, aimed for application early within the development process while using driving simulation. We conclude that the assessment aspects within the envisioned framework should be three-fold, i.e. assess (a) Situation Awareness, (b) Accident Avoidance, and: (c) Acceptance. Measurement techniques to test these aspects have been defined. Moreover, six traffic scenarios have been evaluated for their successfulness in creating different levels of difficulty in understanding and solving traffic situations representative for the interaction between partial automation and drivers. While defining the required assessment aspects and confirming the scenarios' relevance, this study is an important step to establish the desired framework.

[1]  Natasha Merat,et al.  CityMobil : Human factor issues regarding highly automated vehicles on eLane , 2009 .

[2]  David J. Bryant,et al.  Model for Situation Awareness and Driving: Application to Analysis and Research for Intelligent Transportation Systems , 2001 .

[3]  Guy H. Walker,et al.  Measuring Situation Awareness in complex systems: Comparison of measures study , 2009 .

[4]  Thomas D. Hardiman,et al.  A Comparative Analysis of Sagat and Sart for Evaluations of Situation Awareness , 1998 .

[5]  Guy H. Walker,et al.  Feedback and driver situation awareness (SA): A comparison of SA measures and contexts , 2008 .

[6]  M. C. van der Voort,et al.  DESIGN CONSIDERATIONS ON USER-INTERACTION FOR SEMI-AUTOMATED DRIVING , 2015 .

[7]  Katja Vogel,et al.  A comparison of headway and time to collision as safety indicators. , 2003, Accident; analysis and prevention.

[8]  Mica R. Endsley,et al.  Toward a Theory of Situation Awareness in Dynamic Systems , 1995, Hum. Factors.

[9]  Mascha C. van der Voort,et al.  A new scenario based approach for designing driver support systems applied to the design of a lane change support system , 2010 .

[10]  Mascha C. van der Voort,et al.  Retrieving human control after situations of automated driving: HOw to meaure Situation Awareness , 2013 .

[11]  Dick de Waard,et al.  A simple procedure for the assessment of acceptance of advanced transport telematics , 1997 .

[12]  Arie P. van den Beukel,et al.  The road to automated driving: Dual mode and human factors considerations , 2013, 16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013).

[13]  Boris van Waterschoot The challenge of designing intelligent support behavior: emulation as a tool for developing cognitive systems , 2013 .