Color and Animation Preferences for a Light Band eHMI in Interactions Between Automated Vehicles and Pedestrians

In this paper, we report user preferences regarding color and animation patterns to support the interaction between Automated Vehicles (AVs) and pedestrians through an external Human-Machine-Interface (eHMI). Existing concepts of eHMI differ -- among other things -- in their use of colors or animations to express an AV's yielding intention. In the absence of empirical research, there is a knowledge gap regarding which color and animation leads to highest usability and preferences in traffic negotiation situations. We conducted an online survey (N=400) to investigate the comprehensibility of a light band eHMI with a combination of 5 color and 3 animation patterns for a yielding AV. Results show that cyan is considered a neutral color for communicating a yielding intention. Additionally, a uniformly flashing or pulsing animation is preferred compared to any pattern that animates sideways. These insights can contribute in the future design and standardization of eHMIs.

[1]  Lenja Sorokin,et al.  A Change of Perspective: Designing the Automated Vehicle as a New Social Actor in a Public Space , 2019, CHI Extended Abstracts.

[2]  Melissa Cefkin,et al.  Developing Socially Acceptable Autonomous Vehicles , 2016 .

[3]  Sarah Schmidt,et al.  Pedestrians at the kerb – Recognising the action intentions of humans , 2009 .

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

[5]  Matthias Beggiato,et al.  An experimental study to investigate design and assessment criteria: What is important for communication between pedestrians and automated vehicles? , 2019, Applied ergonomics.

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

[7]  Rainer Banse,et al.  Potential safety effects of a frontal brake light for motor vehicles , 2018 .

[8]  Florian Alt,et al.  Investigating the Influence of External Car Displays on Pedestrians' Crossing Behavior in Virtual Reality , 2019, MobileHCI.

[9]  Annette Werner,et al.  New Colours for Autonomous Driving: An Evaluation of Chromaticities for the External Lighting Equipment of Autonomous Vehicles , 2018 .

[10]  Malte Risto,et al.  Human-Vehicle Interfaces: The Power of Vehicle Movement Gestures in Human Road User Coordination , 2017 .

[11]  A. James 2010 , 2011, Philo of Alexandria: an Annotated Bibliography 2007-2016.

[12]  C. Mircioiu,et al.  A Comparison of Parametric and Non-Parametric Methods Applied to a Likert Scale , 2017, Pharmacy.

[13]  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.

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

[15]  Yili Liu,et al.  Introduction to Human Factors Engineering (2nd Edition) , 2003 .

[16]  Dimitra Dodou,et al.  Five-Point Likert Items: t test versus Mann-Whitney-Wilcoxon , 2010 .

[17]  张研,et al.  MERCEDES-BENZ F 015 移动奢侈品 , 2015 .

[18]  Florence March,et al.  2016 , 2016, Affair of the Heart.

[19]  English Only Economic Commission for Europe , 2012 .

[20]  Brian Smith,et al.  Development and validation of a questionnaire to assess pedestrian receptivity toward fully autonomous vehicles , 2017 .

[21]  C. Wickens,et al.  An Introduction to Human Factors Engineering Second Edition , 2010 .

[22]  Jonas Andersson,et al.  Hello Human, can you read my mind? , 2017, ERCIM News.

[23]  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).

[24]  Isabel Neumann,et al.  How Should Automated Vehicles Communicate? - Effects of a Light-Based Communication Approach in a Wizard-of-Oz Study , 2019, AHFE.

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

[26]  Josef F. Krems,et al.  The Right Moment for Braking as Informal Communication Signal Between Automated Vehicles and Pedestrians in Crossing Situations , 2017 .

[27]  Jonas Andersson,et al.  External Vehicle Interfaces for Communication with Other Road Users? , 2018, Lecture Notes in Mobility.

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

[29]  Brian Tew,et al.  Economic Co-operation in Europe. A Study of the United Nations Economic Commission for Europe. , 1957 .

[30]  Tobias Lagström,et al.  AVIP - Autonomous vehicles' interaction with pedestrians - An investigation of pedestrian-driver communication and development of a vehicle external interface , 2016 .

[31]  Nicolas Guéguen,et al.  Direct Look Versus Evasive Glance and Compliance With a Request , 2002, The Journal of social psychology.

[32]  Carl Landwher,et al.  2018 , 2019, Communications of the ACM.

[33]  Berthold Färber,et al.  Communication and Communication Problems Between Autonomous Vehicles and Human Drivers , 2016 .

[34]  Jacqueline Murray Likert Data: What to Use, Parametric or Non-Parametric? , 2013 .

[35]  Josef F. Krems,et al.  Gap Acceptance and Time-To-Arrival Estimates as Basis for Informal Communication between Pedestrians and Vehicles , 2017, AutomotiveUI.

[36]  Michael D. Buhrmester,et al.  Amazon's Mechanical Turk , 2011, Perspectives on psychological science : a journal of the Association for Psychological Science.

[37]  Natasha Merat,et al.  Understanding the Messages Conveyed by Automated Vehicles , 2019, AutomotiveUI.

[38]  Helmut Tiesler-Wittig,et al.  Functional Application, Regulatory Requirements and Their Future Opportunities for Lighting of Automated Driving Systems , 2019, SAE Technical Paper Series.

[39]  Michael Hamm,et al.  Ideas for Next Lighting Generations in Digitalization and Autonomous Driving , 2018 .

[40]  Panagiotis G. Ipeirotis,et al.  Demographics and Dynamics of Mechanical Turk Workers , 2018, WSDM.

[41]  Stefanie M. Faas,et al.  Yielding Light Signal Evaluation for Self-driving Vehicle and Pedestrian Interaction , 2019, IHSED.

[42]  Nicolas Guéguen,et al.  A pedestrian’s stare and drivers’ stopping behavior: A field experiment at the pedestrian crossing , 2015 .

[43]  蕭瓊瑞撰述,et al.  2009 , 2019, The Winning Cars of the Indianapolis 500.