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External Human-Machine Interfaces for Autonomous Vehicle-to-Pedestrian Communication: A Review of Empirical Work
Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Humans and technology.ORCID iD: 0000-0003-3503-4676
Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Humans and technology.
2019 (English)In: Frontiers in Psychology, ISSN 1664-1078, E-ISSN 1664-1078, Vol. 10, article id 2757Article, review/survey (Refereed) Published
Abstract [en]

Interaction between drivers and pedestrians is often facilitated by informal communicative cues, like hand gestures, facial expressions, and eye contact. In the near future, however, when semi- and fully autonomous vehicles are introduced into the traffic system, drivers will gradually assume the role of mere passengers, who are casually engaged in non-driving-related activities and, therefore, unavailable to participate in traffic interaction. In this novel traffic environment, advanced communication interfaces will need to be developed that inform pedestrians of the current state and future behavior of an autonomous vehicle, in order to maximize safety and efficiency for all road users. The aim of the present review is to provide a comprehensive account of empirical work in the field of external human–machine interfaces for autonomous vehicle-to-pedestrian communication. In the great majority of covered studies, participants clearly benefited from the presence of a communication interface when interacting with an autonomous vehicle. Nevertheless, standardized interface evaluation procedures and optimal interface specifications are still lacking.

Place, publisher, year, edition, pages
Frontiers Media S.A., 2019. Vol. 10, article id 2757
Keywords [en]
traffic interaction, human–vehicle interaction, autonomous vehicles, vehicle-to-pedestrian communication, external human–machine interfaces, vulnerable road users
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
Engineering Psychology
Identifiers
URN: urn:nbn:se:ltu:diva-77420DOI: 10.3389/fpsyg.2019.02757ISI: 000504252200001OAI: oai:DiVA.org:ltu-77420DiVA, id: diva2:1385834
Note

Validerad;2020;Nivå 2;2020-01-29 (johcin)

Available from: 2020-01-15 Created: 2020-01-15 Last updated: 2020-01-29Bibliographically approved

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Rouchitsas, AlexandrosAlm, Håkan

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