Ändra sökning
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
External Human-Machine Interfaces for Autonomous Vehicle-to-Pedestrian Communication: A Review of Empirical Work
Luleå tekniska universitet, Institutionen för ekonomi, teknik och samhälle, Människa och teknik.ORCID-id: 0000-0003-3503-4676
Luleå tekniska universitet, Institutionen för ekonomi, teknik och samhälle, Människa och teknik.
2019 (Engelska)Ingår i: Frontiers in Psychology, E-ISSN 1664-1078, Vol. 10, artikel-id 2757Artikel, forskningsöversikt (Refereegranskat) 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.

Ort, förlag, år, upplaga, sidor
Frontiers Media S.A., 2019. Vol. 10, artikel-id 2757
Nyckelord [en]
traffic interaction, human–vehicle interaction, autonomous vehicles, vehicle-to-pedestrian communication, external human–machine interfaces, vulnerable road users
Nationell ämneskategori
Produktionsteknik, arbetsvetenskap och ergonomi
Forskningsämne
Teknisk psykologi
Identifikatorer
URN: urn:nbn:se:ltu:diva-77420DOI: 10.3389/fpsyg.2019.02757ISI: 000504252200001PubMedID: 31920810Scopus ID: 2-s2.0-85077251777OAI: oai:DiVA.org:ltu-77420DiVA, id: diva2:1385834
Anmärkning

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

For correction, see: Rouchitsas A and Alm H (2020) Corrigendum: External Human–Machine Interfaces for Autonomous Vehicle-to-Pedestrian Communication: A Review of Empirical Work. Front. Psychol. 11:575151. doi: 10.3389/fpsyg.2020.575151

Tillgänglig från: 2020-01-15 Skapad: 2020-01-15 Senast uppdaterad: 2023-09-07Bibliografiskt granskad
Ingår i avhandling
1. Virtual Human Characters for Autonomous Vehicle-to-Pedestrian Communication
Öppna denna publikation i ny flik eller fönster >>Virtual Human Characters for Autonomous Vehicle-to-Pedestrian Communication
2022 (Engelska)Doktorsavhandling, sammanläggning (Övrigt vetenskapligt)
Abstract [en]

Pedestrians base their street-crossing decisions on both vehicle-centric cues, like speed and acceleration, and driver-centric cues, like gaze direction and facial expression. In the future, however, drivers of autonomous vehicles will be preoccupied with non-driving related activities and thus unavailable to provide pedestrians with relevant communicative cues. External human-machine interfaces (eHMIs) hold promise for filling the expected communication gap by providing information about the current state and future behaviour of an autonomous vehicle, to primarily ensure pedestrian safety and improve traffic flow, but also promote public acceptance of autonomous vehicle technology. The aim of this thesis is the development of an intuitive, culture-transcending eHMI, that can support multiple pedestrians in parallel make appropriate street-crossing decisions by communicating pedestrian acknowledgement and vehicle intention. In the proposed anthropomorphic eHMI concept, a virtual human character (VHC) is displayed on the windshield to communicate pedestrian acknowledgement and vehicle intention via gaze direction and facial expression, respectively. The performance of different implementations of the proposed concept is evaluated in the context of three monitor-based, laboratory experiments where participants performed a crossing intention task. Four papers are appended to the thesis. Paper I provides an overview of controlled studies that employed naive participants to evaluate eHMI concepts. Paper II evaluates the effectiveness of the proposed concept in supporting a single pedestrian or two co-located pedestrians make appropriate street-crossing decisions. Paper III evaluates the efficiency of emotional facial expressions in communicating non-yielding intention. Paper IV evaluates the efficiency of emotional and conversational facial expressions in communicating yielding and non-yielding intention. An implementation of the proposed anthropomorphic eHMI concept where a male VHC communicates non-yielding intention via an angry expression, cruising intention via cheek puff, and yielding intention via nod, is shown to be both highly effective in ensuring the safety of a single pedestrian or even two co-located pedestrians without compromising traffic flow in either case, and the most efficient. Importantly, this level of effectiveness is reached in the absence of any explanation of the rationale behind the eHMI concept or training to interact with it successfully.

Ort, förlag, år, upplaga, sidor
Luleå tekniska universitet, 2022
Serie
Doctoral thesis / Luleå University of Technology 1 jan 1997 → …, ISSN 1402-1544
Nyckelord
external human-machine interfaces, pedestrian acknowledgement, vehicle intention, traffic safety, traffic flow, gaze direction, facial expression
Nationell ämneskategori
Farkostteknik Tillämpad psykologi
Forskningsämne
Teknisk psykologi
Identifikatorer
urn:nbn:se:ltu:diva-90172 (URN)978-91-8048-061-1 (ISBN)978-91-8048-062-8 (ISBN)
Disputation
2022-06-10, A117, Luleå tekniska universitet, Luleå, 13:00 (Engelska)
Opponent
Handledare
Tillgänglig från: 2022-04-13 Skapad: 2022-04-12 Senast uppdaterad: 2022-05-30Bibliografiskt granskad

Open Access i DiVA

fulltext(234 kB)118 nedladdningar
Filinformation
Filnamn FULLTEXT02.pdfFilstorlek 234 kBChecksumma SHA-512
84558f5e8134072a6a46fe8ca85ce614d1f6782566f82e6893ffcc0628db1efe64e6fe5d61c062449fb83132a0bd3498eeb3ddd7cb7e4d9a97303b7c6f746eef
Typ fulltextMimetyp application/pdf
Corrigendum(123 kB)55 nedladdningar
Filinformation
Filnamn FULLTEXT03.pdfFilstorlek 123 kBChecksumma SHA-512
5e6d37ed7f60815cab2800a8dbbfde106f269c0116eee8dfe760769056daacc06a909cb277a7a211ebdfe3983835db63fcc877a857e1e7494727ac33a22cef36
Typ fulltextMimetyp application/pdf

Övriga länkar

Förlagets fulltextPubMedScopus

Person

Rouchitsas, AlexandrosAlm, Håkan

Sök vidare i DiVA

Av författaren/redaktören
Rouchitsas, AlexandrosAlm, Håkan
Av organisationen
Människa och teknik
I samma tidskrift
Frontiers in Psychology
Produktionsteknik, arbetsvetenskap och ergonomi

Sök vidare utanför DiVA

GoogleGoogle Scholar
Totalt: 284 nedladdningar
Antalet nedladdningar är summan av nedladdningar för alla fulltexter. Det kan inkludera t.ex tidigare versioner som nu inte längre är tillgängliga.

doi
pubmed
urn-nbn

Altmetricpoäng

doi
pubmed
urn-nbn
Totalt: 712 träffar
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf