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Analysing the effect of gender on the human–machine interaction in level 3 automated vehicles
The emergence of the level 3 automated vehicles (L3 AVs) can enable drivers to be completely disengaged from driving and safely perform other non-driving related tasks, but sometimes their takeover of control of the vehicle is required. The takeover of control is an important human–machine interacti...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9270323/ https://www.ncbi.nlm.nih.gov/pubmed/35804087 http://dx.doi.org/10.1038/s41598-022-16045-1 |
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author | Li, Shuo Blythe, Phil Zhang, Yanghanzi Edwards, Simon Guo, Weihong Ji, Yanjie Goodman, Paul Hill, Graeme Namdeo, Anil |
author_facet | Li, Shuo Blythe, Phil Zhang, Yanghanzi Edwards, Simon Guo, Weihong Ji, Yanjie Goodman, Paul Hill, Graeme Namdeo, Anil |
author_sort | Li, Shuo |
collection | PubMed |
description | The emergence of the level 3 automated vehicles (L3 AVs) can enable drivers to be completely disengaged from driving and safely perform other non-driving related tasks, but sometimes their takeover of control of the vehicle is required. The takeover of control is an important human–machine interaction in L3 AVs. However, little research has focused on investigating the effect of gender on takeover performance. In order to fill this research gap, a driving simulator study with 76 drivers (33 females and 43 males) was conducted. The participants took over control from L3 AVs, and the timing and quality of takeover were measured. The results show that although there was no significant difference in most of the measurements adopted to quantify takeover performance between female and male. Gender did affect takeover performance slightly, with women exhibited slightly better performance than men. Compared to men, women exhibited a smaller percentage of hasty takeovers and slightly faster reaction times as well as slightly more stable operation of the steering wheel. The findings highlight that it is important for both genders to recognise they can use and interact with L3 AVs well, and more hands-on experience and teaching sessions could be provided to deepen their understanding of L3 AVs. The design of the car interiors of L3 AVs should also take into account gender differences in the preferences of users for different non-driving related tasks. |
format | Online Article Text |
id | pubmed-9270323 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-92703232022-07-10 Analysing the effect of gender on the human–machine interaction in level 3 automated vehicles Li, Shuo Blythe, Phil Zhang, Yanghanzi Edwards, Simon Guo, Weihong Ji, Yanjie Goodman, Paul Hill, Graeme Namdeo, Anil Sci Rep Article The emergence of the level 3 automated vehicles (L3 AVs) can enable drivers to be completely disengaged from driving and safely perform other non-driving related tasks, but sometimes their takeover of control of the vehicle is required. The takeover of control is an important human–machine interaction in L3 AVs. However, little research has focused on investigating the effect of gender on takeover performance. In order to fill this research gap, a driving simulator study with 76 drivers (33 females and 43 males) was conducted. The participants took over control from L3 AVs, and the timing and quality of takeover were measured. The results show that although there was no significant difference in most of the measurements adopted to quantify takeover performance between female and male. Gender did affect takeover performance slightly, with women exhibited slightly better performance than men. Compared to men, women exhibited a smaller percentage of hasty takeovers and slightly faster reaction times as well as slightly more stable operation of the steering wheel. The findings highlight that it is important for both genders to recognise they can use and interact with L3 AVs well, and more hands-on experience and teaching sessions could be provided to deepen their understanding of L3 AVs. The design of the car interiors of L3 AVs should also take into account gender differences in the preferences of users for different non-driving related tasks. Nature Publishing Group UK 2022-07-08 /pmc/articles/PMC9270323/ /pubmed/35804087 http://dx.doi.org/10.1038/s41598-022-16045-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Li, Shuo Blythe, Phil Zhang, Yanghanzi Edwards, Simon Guo, Weihong Ji, Yanjie Goodman, Paul Hill, Graeme Namdeo, Anil Analysing the effect of gender on the human–machine interaction in level 3 automated vehicles |
title | Analysing the effect of gender on the human–machine interaction in level 3 automated vehicles |
title_full | Analysing the effect of gender on the human–machine interaction in level 3 automated vehicles |
title_fullStr | Analysing the effect of gender on the human–machine interaction in level 3 automated vehicles |
title_full_unstemmed | Analysing the effect of gender on the human–machine interaction in level 3 automated vehicles |
title_short | Analysing the effect of gender on the human–machine interaction in level 3 automated vehicles |
title_sort | analysing the effect of gender on the human–machine interaction in level 3 automated vehicles |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9270323/ https://www.ncbi.nlm.nih.gov/pubmed/35804087 http://dx.doi.org/10.1038/s41598-022-16045-1 |
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