How Should Automated Vehicles Interact with Pedestrians?: A Comparative Analysis of Interaction Concepts in Virtual Reality

Automated vehicles (AVs) introduce a new challenge to human-computer interaction (HCI): pedestrians are no longer able to communicate with human drivers. Hence, new HCI designs need to fill this gap. This work presents the implementation and comparison of different interaction concepts in virtual reality (VR). They were derived after an analysis of 28 works from research and industry, which were classified into five groups according to their complexity and the type of communication. We implemented one concept per group for a within-subject experiment in VR. For each concept, we varied if the AV is going to stop and how early it starts to activate its display. We observed effects on safety, trust, and user experience. A good concept displays information on the street, uses unambiguous signals (e.g., green lights) and has high visibility. Additional feedback, such as continuously showing the recognized pedestrian's location, seem to be unnecessary and may irritate.

[1]  Chao Wang,et al.  Interface Concepts for Intent Communication from Autonomous Vehicles to Vulnerable Road Users , 2018, AutomotiveUI.

[2]  Nicholas Pennycooke.  AEVITA : designing biomimetic vehicle-to-pedestrian communication protocols for autonomously operating & parking on-road electric vehicles , 2012 .

[3]  Cristina Olaverri-Monreal,et al.  P2V and V2P communication for Pedestrian warning on the basis of Autonomous Vehicles , 2016, 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC).

[4]  Yahui Wang,et al.  To Cross or Not to Cross: Urgency-Based External Warning Displays on Autonomous Vehicles to Improve Pedestrian Crossing Safety , 2018, AutomotiveUI.

[5]  Heloir,et al.  The Uncanny Valley , 2019, The Animation Studies Reader.

[6]  Riender Happee,et al.  External Human-Machine Interfaces on Automated Vehicles: Effects on Pedestrian Crossing Decisions , 2019, Hum. Factors.

[7]  幸政 玉津,et al.  Pedestrian notification apparatus , 2012 .

[8]  Karl F. MacDorman,et al.  The Uncanny Valley [From the Field] , 2012, IEEE Robotics Autom. Mag..

[9]  Michael P. Clamann,et al.  Evaluation of Vehicle-to-Pedestrian Communication Displays for Autonomous Vehicles , 2017 .

[10]  Wendy Ju,et al.  Ghost driver: A field study investigating the interaction between pedestrians and driverless vehicles , 2016, 2016 25th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN).

[11]  Shinya Kitayama,et al.  Display System for Vehicle to Pedestrian Communication , 2017 .

[12]  Arturo Montoya,et al.  Energy harvesting from asphalt pavement roadways vehicle-induced stresses: A feasibility study , 2016 .

[13]  J. D. Winter,et al.  Acceptance of Driverless Vehicles: Results from a Large Cross-National Questionnaire Study , 2018 .

[14]  Martin Schrepp,et al.  Design and Evaluation of a Short Version of the User Experience Questionnaire (UEQ-S) , 2017, Int. J. Interact. Multim. Artif. Intell..

[15]  Rikard Fredriksson,et al.  Communicating Intent of Automated Vehicles to Pedestrians , 2018, Front. Psychol..

[16]  Girish Chowdhary,et al.  Intent Communication between Autonomous Vehicles and Pedestrians , 2017, ArXiv.

[17]  Rikard Fredriksson,et al.  Will There Be New Communication Needs When Introducing Automated Vehicles to the Urban Context , 2017 .

[18]  Manfred Tscheligi,et al.  Three Strategies for Autonomous Car-to-Pedestrian Communication: A Survival Guide , 2017, HRI.

[19]  Philipp Wintersberger,et al.  Traffic Augmentation as a Means to Increase Trust in Automated Driving Systems , 2017, CHItaly.

[20]  Marcelo H. Ang,et al.  Pedestrian Notification Methods in Autonomous Vehicles for Multi-Class Mobility-on-Demand Service , 2016, HAI.

[21]  Berry Eggen,et al.  The Impact of Vehicle Appearance and Vehicle Behavior on Pedestrian Interaction with Autonomous Vehicles , 2017, AutomotiveUI.

[22]  Sowmya Somanath,et al.  Communicating Awareness and Intent in Autonomous Vehicle-Pedestrian Interaction , 2018, CHI.

[23]  Melissa Cefkin,et al.  Evaluation of an Autonomous Vehicle External Communication System Concept: A Survey Study , 2017 .

[24]  Irene Gohl,et al.  Analyzing driver-pedestrian interaction at crosswalks: A contribution to autonomous driving in urban environments , 2016, 2016 IEEE Intelligent Vehicles Symposium (IV).

[25]  Holger Regenbrecht,et al.  The Experience of Presence: Factor Analytic Insights , 2001, Presence: Teleoperators & Virtual Environments.

[26]  Klaus Bengler,et al.  External HMIs and Their Effect on the Interaction Between Pedestrians and Automated Vehicles , 2018, IHSI.

[27]  Christian Berger,et al.  The Best Rated Human–Machine Interface Design for Autonomous Vehicles in the 2016 Grand Cooperative Driving Challenge , 2018, IEEE Transactions on Intelligent Transportation Systems.

[28]  Azra Habibovic,et al.  SAV2P: Exploring the Impact of an Interface for Shared Automated Vehicles on Pedestrians' Experience , 2017, AutomotiveUI.

[29]  Kent Larson,et al.  Expressive driver-vehicle interface design , 2011, DPPI.

[30]  John K. Tsotsos,et al.  Agreeing to cross: How drivers and pedestrians communicate , 2017, 2017 IEEE Intelligent Vehicles Symposium (IV).

[31]  Gerardo García,et al.  Mercedes-Benz F 015 Luxury in Motion, probamos el auto que no se conduce , 2015 .

[32]  Takeo Igarashi,et al.  Eyes on a Car: an Interface Design for Communication between an Autonomous Car and a Pedestrian , 2017, AutomotiveUI.

[33]  Ralf Risser,et al.  Pedestrian-driver communication and decision strategies at marked crossings. , 2017, Accident; analysis and prevention.