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Motivation to interaction media: The impact of automation trust and self-determination theory on intention to use the new interaction technology in autonomous vehicles

INTRODUCTION: This research investigated the effects of three psychological needs (competence, autonomy, and relatedness) of self-determination theory (SDT) and automation trust on the intention of users to employ new interaction technology brought by autonomous vehicles (AVs), especially interactio...

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Autores principales: Xie, Yubin, Zhou, Ronggang, Chan, Alan Hoi Shou, Jin, Mingyu, Qu, Miao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9945264/
https://www.ncbi.nlm.nih.gov/pubmed/36844336
http://dx.doi.org/10.3389/fpsyg.2023.1078438
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author Xie, Yubin
Zhou, Ronggang
Chan, Alan Hoi Shou
Jin, Mingyu
Qu, Miao
author_facet Xie, Yubin
Zhou, Ronggang
Chan, Alan Hoi Shou
Jin, Mingyu
Qu, Miao
author_sort Xie, Yubin
collection PubMed
description INTRODUCTION: This research investigated the effects of three psychological needs (competence, autonomy, and relatedness) of self-determination theory (SDT) and automation trust on the intention of users to employ new interaction technology brought by autonomous vehicles (AVs), especially interaction mode and virtual image. METHOD: This study focuses on the discussion from the perspective of psychological motivation theory applied to AV interaction technology. With the use of a structured questionnaire, participants completed self-report measures related to these two interaction technologies; a total of 155 drivers’ responses were analyzed. RESULT: The results indicated that users’ intentions were directly predicted by their perceived competence, autonomy, and relatedness of SDT and automation trust, which jointly explained at least 66% of the variance in behavioral intention. In addition to these results, the contribution of predictive components to behavioral intention is influenced by the type of interaction technology. Relatedness and competence significantly impacted the behavioral intention to use the interaction mode but not the virtual image. DISCUSSION: These findings are essential in that they support the necessity of distinguishing between types of AV interaction technology when predicting users’ intentions to use.
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spelling pubmed-99452642023-02-23 Motivation to interaction media: The impact of automation trust and self-determination theory on intention to use the new interaction technology in autonomous vehicles Xie, Yubin Zhou, Ronggang Chan, Alan Hoi Shou Jin, Mingyu Qu, Miao Front Psychol Psychology INTRODUCTION: This research investigated the effects of three psychological needs (competence, autonomy, and relatedness) of self-determination theory (SDT) and automation trust on the intention of users to employ new interaction technology brought by autonomous vehicles (AVs), especially interaction mode and virtual image. METHOD: This study focuses on the discussion from the perspective of psychological motivation theory applied to AV interaction technology. With the use of a structured questionnaire, participants completed self-report measures related to these two interaction technologies; a total of 155 drivers’ responses were analyzed. RESULT: The results indicated that users’ intentions were directly predicted by their perceived competence, autonomy, and relatedness of SDT and automation trust, which jointly explained at least 66% of the variance in behavioral intention. In addition to these results, the contribution of predictive components to behavioral intention is influenced by the type of interaction technology. Relatedness and competence significantly impacted the behavioral intention to use the interaction mode but not the virtual image. DISCUSSION: These findings are essential in that they support the necessity of distinguishing between types of AV interaction technology when predicting users’ intentions to use. Frontiers Media S.A. 2023-02-08 /pmc/articles/PMC9945264/ /pubmed/36844336 http://dx.doi.org/10.3389/fpsyg.2023.1078438 Text en Copyright © 2023 Xie, Zhou, Chan, Jin and Qu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychology
Xie, Yubin
Zhou, Ronggang
Chan, Alan Hoi Shou
Jin, Mingyu
Qu, Miao
Motivation to interaction media: The impact of automation trust and self-determination theory on intention to use the new interaction technology in autonomous vehicles
title Motivation to interaction media: The impact of automation trust and self-determination theory on intention to use the new interaction technology in autonomous vehicles
title_full Motivation to interaction media: The impact of automation trust and self-determination theory on intention to use the new interaction technology in autonomous vehicles
title_fullStr Motivation to interaction media: The impact of automation trust and self-determination theory on intention to use the new interaction technology in autonomous vehicles
title_full_unstemmed Motivation to interaction media: The impact of automation trust and self-determination theory on intention to use the new interaction technology in autonomous vehicles
title_short Motivation to interaction media: The impact of automation trust and self-determination theory on intention to use the new interaction technology in autonomous vehicles
title_sort motivation to interaction media: the impact of automation trust and self-determination theory on intention to use the new interaction technology in autonomous vehicles
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9945264/
https://www.ncbi.nlm.nih.gov/pubmed/36844336
http://dx.doi.org/10.3389/fpsyg.2023.1078438
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