research-article

Investigating the Influence of External Car Displays on Pedestrians' Crossing Behavior in Virtual Reality

Authors:

Kai Holländer,

Jonna Häkkilä,

Bastian PflegingAuthors Info & Claims

MobileHCI '19: Proceedings of the 21st International Conference on Human-Computer Interaction with Mobile Devices and Services

Article No.: 27, Pages 1 - 11

https://doi.org/10.1145/3338286.3340138

Published: 01 October 2019 Publication History

Abstract

Focusing on pedestrian safety in the era of automated vehicles, we investigate the interaction between pedestrians and automated cars. In particular, we investigate the influence of external car displays (ECDs) on pedestrians' crossing behavior, and the time needed to make a crossing decision. We present a study in a high-immersion VR environment comparing three alternative car-situated visualizations: a smiling grille, a traffic light style indicator, and a gesturing robotic driver. Crossing at non-designated crossing points on a straight road and at a junction, where vehicles turn towards the pedestrian, are explored. We report that ECDs significantly reduce pedestrians' decision time, and argue that ECDs support comfort, trust and acceptance in automated vehicles. We believe ECDs might become a valuable addition for future vehicles.

References

[1]

Hillary Abraham, Chaiwoo Lee, Samantha Brady, Craig Fitzgerald, Bruce Mehler, Bryan Reimer, and Joseph F Coughlin. 2017. Autonomous vehicles, trust, and driving alternatives: A survey of consumer preferences. In TRB 96th Annual Meeting Compendium of Papers. Transportation Research Board, Washington, DC, USA, 16.

[2]

Jade E. Adams-White, Jacqueline M. Wheatcroft, and Michael Jump. 2018. Measuring Decision Accuracy and Confidence of Mock Air Defence Operators. Journal of Applied Research in Memory and Cognition 7, 1 (2018), 60--69. https://doi.org/10.1016/j.jarmac.2018.01.005

[3]

Viola Cavallo, Aurélie Dommes, Nguyen-Thong Dang, and Fabrice Vienne. 2019. A street-crossing simulator for studying and training pedestrians. Transportation Research Part F: Traffic Psychology and Behaviour 61 (2019), 217--228. https://doi.org/10.1016/j.trf.2017.04.012 Special TRF issue: Driving simulation.

[4]

Chia-Ming Chang, Koki Toda, Takeo Igarashi, Masahiro Miyata, and Yasuhiro Kobayashi. 2018. A Video-based Study Comparing Communication Modalities Between an Autonomous Car and a Pedestrian. In Adjunct Proceedings of the 10th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI '18). ACM, New York, NY, USA, 104--109. https://doi.org/10.1145/3239092.3265950

Digital Library

[5]

Chia-Ming Chang, Koki Toda, Daisuke Sakamoto, and Takeo Igarashi. 2017. Eyes on a Car: An Interface Design for Communication Between an Autonomous Car and a Pedestrian. In Proceedings of the 9th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI '17). ACM, New York, NY, USA, 65--73. https://doi.org/10.1145/3122986.3122989

Digital Library

[6]

Vicky Charisi, Azra Habibovic, Jonas Andersson, Jamy Li, and Vanessa Evers. 2017. Children's Views on Identification and Intention Communication of Self-driving Vehicles. In Proceedings of the 2017 Conference on Interaction Design and Children (IDC '17). ACM, New York, NY, USA, 399--404. https://doi.org/10.1145/3078072.3084300

Digital Library

[7]

Michael Clamann, Miles Aubert, and Mary L Cummings. 2017. Evaluation of Vehicle-to-Pedestrian Communication Displays for Autonomous Vehicles. In TRB 96th Annual Meeting Compendium of Papers. Transportation Research Board, Washington, DC, USA, 13.

[8]

Rebecca Currano, So Yeon Park, Lawrence Domingo, Jesus Garcia-Mancilla, Pedro C. Santana-Mancilla, Victor M. Gonzalez, and Wendy Ju. 2018. ¡Vamos!: Observations of Pedestrian Interactions with Driver-less Cars in Mexico. In Proceedings of the 10th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI '18). ACM, New York, NY, USA, 210--220. https://doi.org/10.1145/3239060.3241680

Digital Library

[9]

Shuchisnigdha Deb, Lesley J Strawderman, and Daniel W Carruth. 2018. Investigating pedestrian suggestions for external features on fully autonomous vehicles: A virtual reality experiment. Transportation research part F: traffic psychology and behaviour 59 (2018), 135--149. https://doi.org/10.1016/j.trf.2018.08.016

[10]

Debargha Dey, Marieke Martens, Berry Eggen, and Jacques Terken. 2017. The Impact of Vehicle Appearance and Vehicle Behavior on Pedestrian Interaction with Autonomous Vehicles. In Proceedings of the 9th International Conference on Automotive User Interfaces and Interactive Vehicular Applications Adjunct (AutomotiveUI '17). ACM, New York, NY, USA, 158--162. https://doi.org/10.1145/3131726.3131750

Digital Library

[11]

Debargha Dey, Marieke Martens, Chao Wang, Felix Ros, and Jacques Terken. 2018. Interface Concepts for Intent Communication from Autonomous Vehicles to Vulnerable Road Users. In Adjunct Proceedings of the 10th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI '18). ACM, New York, NY, USA, 82--86. https://doi.org/10.1145/3239092.3265946

Digital Library

[12]

Debargha Dey and Jacques Terken. 2017. Pedestrian Interaction with Vehicles: Roles of Explicit and Implicit Communication. In Proceedings of the 9th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI '17). ACM, New York, NY, USA, 109--113. https://doi.org/10.1145/3122986.3123009

Digital Library

[13]

Igor Doric, Anna-Katharina Frison, Philipp Wintersberger, Andreas Riener, Sebastian Wittmann, Matheus Zimmermann, and Thomas Brandmeier. 2016. A Novel Approach for Researching Crossing Behavior and Risk Acceptance: The Pedestrian Simulator. In Adjunct Proceedings of the 8th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI '16 Adjunct). ACM, New York, NY, USA, 39--44. https://doi.org/10.1145/3004323.3004324

Digital Library

[14]

Jolyon J Faria, Stefan Krause, and Jens Krause. 2010. Collective behavior in road crossing pedestrians: the role of social information. Behavioral Ecology 21, 6 (09 2010), 1236--1242. https://doi.org/10.1093/beheco/arq141

[15]

Lex Fridman, Bruce Mehler, Lei Xia, Yangyang Yang, Laura Yvonne Facusse, and Bryan Reimer. 2017. To Walk or Not to Walk: Crowd-sourced Assessment of External Vehicle-to-Pedestrian Displays. CoRR abs/1707.02698 (2017), 7. arXiv:1707.02698

[16]

Piercesare Grimaldi, Hakwan Lau, and Michele A. Basso. 2015. There are things that we know that we know, and there are things that we do not know we do not know: Confidence in decision-making. Neuroscience & Biobehavioral Reviews 55 (2015), 88--97. https://doi.org/10.1016/j.neubiorev.2015.04.006

[17]

Ronald R. Hocking. 2003. Methods and Applications of Linear Models: Regression and the Analysis of Variance (2 ed.). Wiley-Interscience, Hoboken, NJ, USA.

[18]

Christopher R. Hudson, Shuchisnigdha Deb, Daniel W. Carruth, John McGinley, and Darren Frey. 2019. Pedestrian Perception of Autonomous Vehicles with External Interacting Features. In Advances in Human Factors and Systems Interaction, Isabel L. Nunes (Ed.). Springer International Publishing, Cham, Germany, 33--39. https://doi.org/10.1007/978-3-319-94334-3_5

[19]

Andrew L. Kun, Susanne Boll, and Albrecht Schmidt. 2016. Shifting Gears: User Interfaces in the Age of Autonomous Driving. IEEE Pervasive Computing 15, 1 (Jan 2016), 32--38. https://doi.org/10.1109/mprv.2016.14

Digital Library

[20]

Tobias Lagström and Victor Malmsten Lundgren. 2015. AVIP -Autonomous vehicles' interaction with pedestrians. Master's thesis. Chalmers University of Technology, Gothenborg, Sweden. http://publications.lib.chalmers.se/records/fulltext/238401/238401.pdf

[21]

Jae-Gil Lee, Ki Joon Kim, Sangwon Lee, and Dong-Hee Shin. 2015. Can Autonomous Vehicles Be Safe and Trustworthy? Effects of Appearance and Autonomy of Unmanned Driving Systems. International Journal of Human--Computer Interaction 31, 10 (2015), 682--691. https://doi.org/10.1080/10447318.2015.1070547

[22]

Michael D. Lee and Matthew J. Dry. 2006. Decision Making and Confidence Given Uncertain Advice. Cognitive Science 30, 6 (2006), 1081--1095. https://doi.org/10.1207/s15516709cog0000_71

[23]

Yeti Li, Murat Dikmen, Thana G. Hussein, Yahui Wang, and Catherine Burns. 2018. To Cross or Not to Cross: Urgency-Based External Warning Displays on Autonomous Vehicles to Improve Pedestrian Crossing Safety. In Proceedings of the 10th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI '18). ACM, New York, NY, USA, 188--197. https://doi.org/10.1145/3239060.3239082

Digital Library

[24]

W. Lidwell, K. Holden, J. Butler, and K. Elam. 2010. Universal Principles of Design, Revised and Updated: 125 Ways to Enhance Usability, Influence Perception, Increase Appeal, Make Better Design Decisions, and Teach Through Design. Rockport Publishers, Gloucester, MA, USA.

[25]

Todd Litman. 2017. Autonomous vehicle implementation predictions.

[26]

Karthik Mahadevan, Sowmya Somanath, and Ehud Sharlin. 2018. Communicating Awareness and Intent in Autonomous Vehicle-Pedestrian Interaction. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (CHI '18). ACM, New York, NY, USA, Article 429, 12 pages. https://doi.org/10.1145/3173574.3174003

Digital Library

[27]

Sara Merlino and Lorenza Mondada. 2018. Crossing the street: How pedestrians interact with cars. Language & Communication 65 (2018), 131--147. https://doi.org/10.1016/j.langcom.2018.04.004

[28]

Raymond S Nickerson and Charles C McGoldrick Jr. 1965. Confidence Ratings and Level of Performance on a Judgmental Task. Perceptual and Motor Skills 20, 1 (1965), 311--316. https://doi.org/10.2466/pms.1965.20.1.311

[29]

Donald Norman. 2013. The Design of Everyday Things: Revised and Expanded Edition. Basic Books, New York, NY, USA.

Digital Library

[30]

Amir Rasouli, Iuliia Kotseruba, and John K Tsotsos. 2017. Agreeing to cross: How drivers and pedestrians communicate. In 2017 IEEE Intelligent Vehicles Symposium (IV). IEEE, Piscataway, NJ, USA, 264--269. https://doi.org/10.1109/IVS.2017.7995730

Digital Library

[31]

Amir Rasouli, Iuliia Kotseruba, and John K. Tsotsos. 2018. Towards Social Autonomous Vehicles: Understanding Pedestrian-Driver Interactions. In 2018 21st International Conference on Intelligent Transportation Systems (ITSC). IEEE, Piscataway, NJ, USA, 729--734. https://doi.org/10.1109/ITSC.2018.8569324

[32]

Amir Rasouli and John K Tsotsos. 2018. Autonomous Vehicles that Interact with Pedestrians: A Survey of Theory and Practice. arXiv preprint abs/1805.11773 (2018), 18. arXiv:1805.11773

[33]

Christina Rödel, Susanne Stadler, Alexander Meschtscherjakov, and Manfred Tscheligi. 2014. Towards Autonomous Cars: The Effect of Autonomy Levels on Acceptance and User Experience. In Proceedings of the 6th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI '14). ACM, New York, NY, USA, Article 11, 8 pages. https://doi.org/10.1145/2667317.2667330

Digital Library

[34]

Stamp Siripanich. 2017. Crossing the road in the world of autonomous cars. Retrieved June 01, 2019 from https://medium.com/teague-labs/crossing-the-road-in-the-world-of-autonomous-cars-e14827bfa301

[35]

Jim Smith, Phil Legg, Milos Matovic, and Kristofer Kinsey. 2018. Predicting User Confidence During Visual Decision Making. ACM Trans. Interact. Intell. Syst. 8, 2, Article 10 (June 2018), 30 pages. https://doi.org/10.1145/3185524

Digital Library

[36]

Lazar Stankov, Sabina Kleitman, and Simon A. Jackson. 2015. Chapter 7 - Measures of the Trait of Confidence. In Measures of Personality and Social Psychological Constructs, Gregory J. Boyle, Donald H. Saklofske, and Gerald Matthews (Eds.). Academic Press, San Diego, 158--189. https://doi.org/10.1016/B978-0-12-386915-9.00007-3

[37]

Matúš Šucha. 2014. Road users' strategies and communication: driver-pedestrian interaction. In Transport Research Arena (TRA) 2014 Proceedings. IFSTTAR, Champs su Marne, France, 9.

[38]

Anne Treisman. 1985. Preattentive processing in vision. Computer vision, graphics, and image processing 31, 2 (1985), 156--177. https://doi.org/10.1016/S0734-189X(85)80004-9

[39]

Erik Vinkhuyzen and Melissa Cefkin. 2016. Developing Socially Acceptable Autonomous Vehicles. Ethnographic Praxis in Industry Conference Proceedings 2016, 1 (2016), 522--534. https://doi.org/10.1111/1559-8918.2016.01108

[40]

Adam Waytz, Joy Heafner, and Nicholas Epley. 2014. The mind in the machine: Anthropomorphism increases trust in an autonomous vehicle. Journal of Experimental Social Psychology 52 (2014), 113--117. https://doi.org/10.1016/j.jesp.2014.01.005

[41]

Jingyi Zhang, Erik Vinkhuyzen, and Melissa Cefkin. 2018. Evaluation of an Autonomous Vehicle External Communication System Concept: A Survey Study. In Advances in Human Aspects of Transportation, Neville A Stanton (Ed.). Springer International Publishing, Cham, Germany, 650--661. https://doi.org/10.1007/978-3-319-60441-1_63

Cited By

Jun SChung HKim SLee Y(2024)Child Pedestrians’ Perception of External Car Display: Effects of Communication Style and Visualization Type on Trust and Perceived SafetyArchives of Design Research10.15187/adr.2024.02.37.1.737:1(7-24)Online publication date: 29-Feb-2024
https://doi.org/10.15187/adr.2024.02.37.1.7
Heisel FKulke LBeek ZReitmann SPfleging B(2024)Pedestrian-Robot Interaction on Sidewalks: External User Interfaces for Mobile Delivery RobotsProceedings of the International Conference on Mobile and Ubiquitous Multimedia10.1145/3701571.3701581(365-380)Online publication date: 1-Dec-2024
https://dl.acm.org/doi/10.1145/3701571.3701581
Stefanidi HTatzgern MMeschtscherjakov A(2024)Augmented Reality on the Move: A Systematic Literature Review for Vulnerable Road UsersProceedings of the ACM on Human-Computer Interaction10.1145/36764908:MHCI(1-30)Online publication date: 24-Sep-2024
https://dl.acm.org/doi/10.1145/3676490
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Index Terms

Investigating the Influence of External Car Displays on Pedestrians' Crossing Behavior in Virtual Reality
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction paradigms
      1. Virtual reality

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cover image ACM Conferences

MobileHCI '19: Proceedings of the 21st International Conference on Human-Computer Interaction with Mobile Devices and Services

October 2019

646 pages

ISBN:9781450368254

DOI:10.1145/3338286

Copyright © 2019 ACM.

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Published: 01 October 2019

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MobileHCI '19: 21st International Conference on Human-Computer Interaction with Mobile Devices and Services

October 1 - 4, 2019

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Cited By

Jun SChung HKim SLee Y(2024)Child Pedestrians’ Perception of External Car Display: Effects of Communication Style and Visualization Type on Trust and Perceived SafetyArchives of Design Research10.15187/adr.2024.02.37.1.737:1(7-24)Online publication date: 29-Feb-2024
https://doi.org/10.15187/adr.2024.02.37.1.7
Heisel FKulke LBeek ZReitmann SPfleging B(2024)Pedestrian-Robot Interaction on Sidewalks: External User Interfaces for Mobile Delivery RobotsProceedings of the International Conference on Mobile and Ubiquitous Multimedia10.1145/3701571.3701581(365-380)Online publication date: 1-Dec-2024
https://dl.acm.org/doi/10.1145/3701571.3701581
Stefanidi HTatzgern MMeschtscherjakov A(2024)Augmented Reality on the Move: A Systematic Literature Review for Vulnerable Road UsersProceedings of the ACM on Human-Computer Interaction10.1145/36764908:MHCI(1-30)Online publication date: 24-Sep-2024
https://dl.acm.org/doi/10.1145/3676490
Kamkar TRiener A(2024)Be Here Now: Development and Evaluation of Scalable eHMIs to Enhance the Attention, Perception, and Safety of Inattentive Pedestrians through Targeted Communication in Complex Traffic ScenariosAdjunct Proceedings of the 16th International Conference on Automotive User Interfaces and Interactive Vehicular Applications10.1145/3641308.3685051(220-225)Online publication date: 22-Sep-2024
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Tran TParker CHoggenmüller MWang YTomitsch M(2024)Exploring the Impact of Interconnected External Interfaces in Autonomous Vehicles on Pedestrian Safety and ExperienceProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642118(1-17)Online publication date: 11-May-2024
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Dey DSenan THengeveld BColley MHabibovic AJu W(2024)Multi-Modal eHMIs: The Relative Impact of Light and Sound in AV-Pedestrian InteractionProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642031(1-16)Online publication date: 11-May-2024
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Chang XChen ZDong XCai YYan TCai HZhou ZZhou GGong J(2024)"It Must Be Gesturing Towards Me": Gesture-Based Interaction between Autonomous Vehicles and PedestriansProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642029(1-25)Online publication date: 11-May-2024
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Nishiura YYamada HKurazume R(2024)Information Presentation Strategies to Promote Pedestrian Behavior Change in Mixed Spaces with Automated Vehicle2024 IEEE/SICE International Symposium on System Integration (SII)10.1109/SII58957.2024.10417422(1026-1031)Online publication date: 8-Jan-2024
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Hübner MBaude MBengler K(2024)Pedestrian Groups Matter: Unraveling their Impact on Pedestrian Crossings when Interacting with an Automated Vehicle2024 IEEE Intelligent Vehicles Symposium (IV)10.1109/IV55156.2024.10588543(69-76)Online publication date: 2-Jun-2024
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Enam MBastola ABrinkley J(2024)Are the External Human-Machine Interfaces (eHMI) Accessible for People with Disabilities? A Systematic Review2024 IEEE 4th International Conference on Human-Machine Systems (ICHMS)10.1109/ICHMS59971.2024.10555703(1-6)Online publication date: 15-May-2024
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