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User preferences, driving context or manoeuvre characteristics? Exploring parameters affecting the acceptability of automated overtaking.
Sourelli, Anna-Maria; Welsh, Ruth; Thomas, Pete.
Afiliación
  • Sourelli AM; Transport Safety Research Centre, School of Design & Creative Arts, Loughborough University, Epinal Way, Loughborough, LE11 3TU, UK. Electronic address: a.sourelli@lboro.ac.uk.
  • Welsh R; Transport Safety Research Centre, School of Design & Creative Arts, Loughborough University, Epinal Way, Loughborough, LE11 3TU, UK.
  • Thomas P; Transport Safety Research Centre, School of Design & Creative Arts, Loughborough University, Epinal Way, Loughborough, LE11 3TU, UK.
Appl Ergon ; 109: 103959, 2023 May.
Article en En | MEDLINE | ID: mdl-36652874
Future user acceptance will be a requirement for the AVs to accomplish their estimated safety benefits, highlighting the importance of acceptable driving behaviour. This study aims to investigate the parameters that affect the acceptability of highly automated overtaking. 237 respondents participated in a video based online survey, rating different motorway flying overtaking scenarios based on their preferences. The scores were analysed using a variety of methods (statistical tests, Principal Component Analysis, Linear Mixed Models). Long pull-out distances and manoeuvre duration values, as well as lower speeds were preferred by the participants, with some limited impact of the driving situation. Overall, behaviour simulating an average, cautious human driver is likely to positively influence acceptability and suggests the value of further research on context-adaptive automated driving to account for subjective risk perception. These findings can contribute towards user-centred systems that assist or autonomously perform overtaking manoeuvres, supporting their uptake and thus the realisation of their safety benefits.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Conducción de Automóvil / Deportes Tipo de estudio: Prognostic_studies Aspecto: Patient_preference Límite: Humans Idioma: En Revista: Appl Ergon Año: 2023 Tipo del documento: Article Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Conducción de Automóvil / Deportes Tipo de estudio: Prognostic_studies Aspecto: Patient_preference Límite: Humans Idioma: En Revista: Appl Ergon Año: 2023 Tipo del documento: Article Pais de publicación: Reino Unido