Who is to blame for crashes involving autonomous vehicles? Exploring blame attribution across the road transport system
| Autor: | Ben R. Lane, Gemma J. M. Read, Paul M. Salmon, Jason Thompson, Elin Pöllänen |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Adult
Male Automobile Driving Adolescent media_common.quotation_subject Applied psychology Defensive attribution hypothesis Poison control Physical Therapy Sports Therapy and Rehabilitation Human Factors and Ergonomics Crash Pedestrian Blame Automation Young Adult 03 medical and health sciences 0302 clinical medicine Surveys and Questionnaires Humans 0501 psychology and cognitive sciences 050107 human factors Aged media_common Aged 80 and over Government 05 social sciences Liability Accidents Traffic Liability Legal 030229 sport sciences Middle Aged Female Business Safety Attribution |
| Zdroj: | Ergonomics. 63:525-537 |
| ISSN: | 1366-5847 0014-0139 |
| DOI: | 10.1080/00140139.2020.1744064 |
| Popis: | The introduction of fully autonomous vehicles is approaching. This warrants a re-consideration of road crash liability, given drivers will have diminished control. This study, underpinned by attribution theory, investigated blame attribution to different road transport system actors following crashes involving manually driven, semi-autonomous and fully autonomous vehicles. It also examined whether outcome severity alters blame ratings. 396 participants attributed blame to five actors (vehicle driver/user, pedestrian, vehicle, manufacturer, government) in vehicle-pedestrian crash scenarios. Different and unique patterns of blame were found across actors, according to the three vehicle types. In crashes involving fully autonomous vehicles, vehicle users received low blame, while vehicle manufacturers and government were highly blamed. There was no difference in the level of blame attributed between high and low severity crashes regarding vehicle type. However, the government received more blame in high severity crashes. The findings have implications for policy and legislation surrounding crash liability. Practitioner summary: Public views relating to blame and liability in transport accidents is a vital consideration for the introduction of new technologies such as autonomous vehicles. This study demonstrates how a systems ergonomics framework can assist to identify the implications of changing public opinion on blame for future road transport systems. Abbreviation: ANOVA: analysis of variance; DAT: defensive attribution theory; IV: independent variable. |
| Databáze: | OpenAIRE |
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