How difficult is it perceived to takeover in a level 3 automated vehicle? Investigation of the ease of use according to task and situational factors.
One goal of automated driving is to mitigate risks by minimising human intervention. However, widespread acceptance of automated vehicles hinges on their perceived ease of use, particularly during takeover scenarios. This online survey investigates the perceived difficulty of takeover in Level 3 Aut...
| Publicado en: | Ergonomics Vol. 68; no. 10; pp. 1647 - 1660 |
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| Autores principales: | , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
Oct2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=188122500&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 188122500 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00140139 ERO jtl: Ergonomics issn: 00140139 maglogo: Y pubinfo: dt: Oct2025 vid: 68 iid: 10 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 188122500 181272395 188122500 188122500 10.1080/00140139.2024.2431584 188122500 ppf: 1647 ppct: 13 formats: tig: atl: How difficult is it perceived to takeover in a level 3 automated vehicle? Investigation of the ease of use according to task and situational factors. aug: au: Ouddiz, Sharon Lemercier, Céline affil: Cognition, Languages, Language and Ergonomics (CLLE) Laboratory, University of Toulouse - Jean Jaurès, Toulouse, France sug: subj: Autonomous Vehicles Automobile Driving Psychosocial Factors Automation Task Performance and Analysis France Human Male Female Adult Middle Age Aged Factorial Design Psychomotor Performance Accidents, Traffic Analysis of Variance Post Hoc Analysis Descriptive Statistics Adult: 19-44 years Middle Aged: 45-64 years Aged: 65+ years Male Female ab: One goal of automated driving is to mitigate risks by minimising human intervention. However, widespread acceptance of automated vehicles hinges on their perceived ease of use, particularly during takeover scenarios. This online survey investigates the perceived difficulty of takeover in Level 3 Automated Vehicles, focusing on factors influencing takeover performance such as duration of automated mode and traffic density, as well as Non-Driving-Related Tasks like listening to music or engaging in conversation. Using Anderson's experimental protocol based on Integrated Information Theory, 235 drivers aged 18–72 rated takeover difficulty across 32 realistic scenarios varying in these factors. Results indicate significant impacts of all factors on takeover perception, identifying three distinct driver profiles: takeover averse, adaptive, and confident. Findings underscore implications for vehicle acceptance and risk management in automated driving. PRACTITIONER SUMMARY: This study examines perceived takeover difficulty in Level 3 automated vehicles through an online survey of 235 drivers. Factors such as automated mode duration, traffic density, and Non-Driving-Related Tasks were assessed. Results reveal significant impacts on takeover perception, identifying three driver profiles: averse, adaptive, and confident, crucial for vehicle acceptance. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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