Traffic Augmentation as a Means to Increase Trust in Automated Driving Systems

Many human factor issues regarding automated driving systems are still unresolved. For instance, it is not fully clear if, and to what extent, drivers will accept and trust this novel technology. Trust in technology is of utmost importance to avoid both disuse and misuse. Possibilities for increasing user trust in automated driving systems include proper feedback aiming to build a shared mental model so that system intentions are visible to the driver. A potential approach could be to augment traffic and other relevant objects in the environment. Technical advancements in display technology would allow the use of windshield displays in the near future. To investigate the effect of augmented reality aids (presented as augmentations of traffic objects) in potentially ambiguous situations, we conducted a user study (n=26) and assessed qualitative (trust scale TS, technology acceptance model TAM) and quantitative (HRV) factors. Initial results indicate that augmenting sensor data in the driver's line of sight can lead to increased trust and acceptance.

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

[2]  Fredrick Ekman,et al.  Creating Appropriate Trust for Autonomous Vehicle Systems: A Framework for HMI Design , 2016 .

[3]  Gary E. Burnett,et al.  Visual search tasks: the effects of head-up displays on driving and task performance , 2015, AutomotiveUI.

[4]  Joseph L. Gabbard,et al.  Head-Up vs. Head-Down Displays: Examining Traditional Methods of Display Assessment While Driving , 2016, AutomotiveUI.

[5]  A. Ferscha,et al.  Enhancing Future Mass ICT with Social Capabilities , 2013 .

[6]  Andreas Butz,et al.  SupportingTrust in Autonomous Driving , 2017, IUI.

[7]  Riender Happee,et al.  Public opinion on automated driving: results of an international questionnaire among 5000 respondents , 2015 .

[8]  Robin Williams,et al.  Trust in Technology , 2006 .

[9]  Linda Ng Boyle,et al.  Drivers' Understanding of Adaptive Cruise Control Limitations , 2009 .

[10]  Ronald A. Rensink,et al.  TO SEE OR NOT TO SEE: The Need for Attention to Perceive Changes in Scenes , 1997 .

[11]  Andreas Butz,et al.  Augmenting the Driver's View with Peripheral Information on a Windshield Display , 2015, IUI.

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

[13]  Philipp Wintersberger,et al.  Automated Driving System, Male, or Female Driver: Who'd You Prefer? Comparative Analysis of Passengers' Mental Conditions, Emotional States & Qualitative Feedback , 2016, AutomotiveUI.

[14]  Michael Fisher,et al.  Formal verification of autonomous vehicle platooning , 2016, Sci. Comput. Program..

[15]  Philipp Wintersberger,et al.  Trust in Technology as a Safety Aspect in Highly Automated Driving , 2016, i-com.

[16]  J. H. Davis,et al.  An Integrative Model Of Organizational Trust , 1995 .

[17]  Bonnie M. Muir,et al.  Trust Between Humans and Machines, and the Design of Decision Aids , 1987, Int. J. Man Mach. Stud..

[18]  Guangtao Zhai,et al.  An Augmented-Reality night vision enhancement application for see-through glasses , 2015, 2015 IEEE International Conference on Multimedia & Expo Workshops (ICMEW).

[19]  Andreas Butz,et al.  Supporting Trust in Autonomous Driving , 2017 .

[20]  S. Teeravarunyou,et al.  Effects of guided arrows on head-up display towards the vehicle windshield , 2012, 2012 Southeast Asian Network of Ergonomics Societies Conference (SEANES).

[21]  Stephen Marsh,et al.  The role of trust in information science and technology , 2005, Annu. Rev. Inf. Sci. Technol..

[22]  Byoung-Jun Park,et al.  Augmented reality and representation in vehicle for safe driving at night , 2015, 2015 International Conference on Information and Communication Technology Convergence (ICTC).

[23]  Gudrun Klinker,et al.  Visual Longitudinal and Lateral Driving Assistance in the Head-Up Display of Cars , 2007, 2007 6th IEEE and ACM International Symposium on Mixed and Augmented Reality.

[24]  Shun Zhang,et al.  Autonomous Intersection Management for Semi-Autonomous Vehicles , 2015 .

[25]  Fredrick Ekman,et al.  Creating Appropriate Trust in Automated Vehicle Systems: A Framework for HMI Design , 2018, IEEE Transactions on Human-Machine Systems.

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

[27]  Markus Lienkamp,et al.  A system design for automotive augmented reality using stereo night vision , 2014, 2014 IEEE Intelligent Vehicles Symposium Proceedings.

[28]  Andreas Butz,et al.  First Steps towards a View Management Concept for Large-sized Head-up Displays with Continuous Depth , 2016, AutomotiveUI.