Are You Ready for Autonomous Driving? The Role of Experiential Learning in Enhancing Trust and Understandability

Advances in artificial intelligence (AI) have transformed transportation, yet human drivers remain essential. In level 3 autonomous vehicles, drivers must respond to takeover requests and share driving responsibilities, but effective strategies for training them remain poorly understood. This study examines how learning style (experiential vs. observational) and message framing (gain vs. loss) influence drivers' learning experience and performance in autonomous driving. In a 2 × 2 between-subjects experiment with 121 participants, experiential learning was more effective than observational learning in enhancing drivers' social presence, trust, and understanding of their roles. Loss-framed messages led to higher cognitive load, greater risk perception, and faster reaction times than gain-framed messages. Learning style and message framing interacted to affect trust, and trust mediated the effect of learning style on understandability. These findings integrate learning theory with message framing and offer practical guidance for designing safety training programs for autonomous driving.

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Publication Details

Journal
International Journal of Human-Computer Interaction
Published
2026-10-26
DOI
https://doi.org/10.1080/10447318.2026.2750679
Primary Topic
Human-Automation Interaction and Safety
Type
article
Field-Weighted Citation Impact
0.00
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article

Are You Ready for Autonomous Driving? The Role of Experiential Learning in Enhancing Trust and Understandability

Namkee Park, Doha Kim, Chung-Heon Lee, Young Eun Kim et al.
International Journal of Human-Computer Interaction
Human-Automation Interaction and Safety
article

Are You Ready for Autonomous Driving? The Role of Experiential Learning in Enhancing Trust and Understandability

Namkee Park, Doha Kim, Chung-Heon Lee, Young Eun Kim, Hayeon Song, Kwan Min Lee, Jae-gil Lee, Youjin Kim
article en

Abstract

Advances in artificial intelligence (AI) have transformed transportation, yet human drivers remain essential. In level 3 autonomous vehicles, drivers must respond to takeover requests and share driving responsibilities, but effective strategies for training them remain poorly understood. This study examines how learning style (experiential vs. observational) and message framing (gain vs. loss) influence drivers' learning experience and performance in autonomous driving. In a 2 × 2 between-subjects experiment with 121 participants, experiential learning was more effective than observational learning in enhancing drivers' social presence, trust, and understanding of their roles. Loss-framed messages led to higher cognitive load, greater risk perception, and faster reaction times than gain-framed messages. Learning style and message framing interacted to affect trust, and trust mediated the effect of learning style on understandability. These findings integrate learning theory with message framing and offer practical guidance for designing safety training programs for autonomous driving.

International Journal of Human-Computer Interaction
Hallym University (KR), Nanyang Technological University (SG), Yonsei University (KR), Sungkyunkwan University (KR)
Openalex Percentile: Top 8%
Human-Automation Interaction and Safety
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