Exploring Drivers’ Perspectives on In-Vehicle Artificial Intelligence: A Focus Group Study

Artificial intelligence (AI) is increasingly integrated into vehicles, but drivers’ acceptance may depend on how these systems communicate, share control, intervene for safety, and handle data. This study used two focus groups with 13 licensed young adult drivers to examine their current use of in-vehicle technologies and reactions to three scenario-based AI roles: Advisor, Co-Pilot, and Guardian. Four themes emerged: system explainability, maintained control, acceptance based on safety, and data transparency. Participants were generally receptive to AI that supported awareness and safety while preserving driver authority. Advisor AI was valued when it provided timely and specific information, Co-Pilot AI was more acceptable when assistance was predictable and easy to override, and Guardian AI was accepted primarily for brief intervention in high-risk situations. Participants also expected adjustable communication settings and transparent data practices. The findings indicate that acceptance of in-vehicle AI depends on clear communication, appropriate control boundaries, safety-relevant intervention, and responsible data use.

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Publication Details

Journal
Proceedings of the Human Factors and Ergonomics Society Annual Meeting
Published
2026-09-04
DOI
https://doi.org/10.1177/10711813261485890
Primary Topic
Human-Automation Interaction and Safety
Type
article
Field-Weighted Citation Impact
0.00
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article

Exploring Drivers’ Perspectives on In-Vehicle Artificial Intelligence: A Focus Group Study

Gaojian Huang, Yue Luo, Guannan Liu, Camille Santos
Proceedings of the Human Factors and Ergonomics Society Annual Meeting
Human-Automation Interaction and Safety
article

Exploring Drivers’ Perspectives on In-Vehicle Artificial Intelligence: A Focus Group Study

Gaojian Huang, Yue Luo, Guannan Liu, Camille Santos
article en

Abstract

Artificial intelligence (AI) is increasingly integrated into vehicles, but drivers’ acceptance may depend on how these systems communicate, share control, intervene for safety, and handle data. This study used two focus groups with 13 licensed young adult drivers to examine their current use of in-vehicle technologies and reactions to three scenario-based AI roles: Advisor, Co-Pilot, and Guardian. Four themes emerged: system explainability, maintained control, acceptance based on safety, and data transparency. Participants were generally receptive to AI that supported awareness and safety while preserving driver authority. Advisor AI was valued when it provided timely and specific information, Co-Pilot AI was more acceptable when assistance was predictable and easy to override, and Guardian AI was accepted primarily for brief intervention in high-risk situations. Participants also expected adjustable communication settings and transparent data practices. The findings indicate that acceptance of in-vehicle AI depends on clear communication, appropriate control boundaries, safety-relevant intervention, and responsible data use.

Proceedings of the Human Factors and Ergonomics Society Annual Meeting
San Jose State University (US)
Openalex Percentile: Top 6%
Human-Automation Interaction and Safety
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Exploring Drivers’ Perspectives on In-Vehicle Artificial Intelligence: A Focus Group Study — Gaojian Huang, Yue Luo, et al. · Proceedings of the Human Factors and Ergonomics Society Annual Meeting (2026) | TGRS Research Map | TGRS