Beyond Voice Assistants: Exploring Advantages and Risks of an In-Car Social Robot in Real Driving Scenarios
Yuanchao Li, Lachlan Urquhart, Nihan Karatas, Shun Shao, Hiroshi, Ishiguro, Xun Shen

TL;DR
This paper investigates the impact of an in-car social robot on driver experience, combining surveys and on-road experiments to evaluate user perceptions, ethical concerns, and design implications for future automotive robots.
Contribution
It introduces a novel in-car social robot and assesses its effects on user experience and perceptions through comprehensive real-world testing and surveys.
Findings
Social robots can enhance driver engagement and satisfaction.
User perceptions of robot personality influence acceptance.
Ethical concerns are significant in deploying in-car social robots.
Abstract
In-car Voice Assistants (VAs) play an increasingly critical role in automotive user interface design. However, existing VAs primarily perform simple 'query-answer' tasks, limiting their ability to sustain drivers' long-term attention. In this study, we investigate the effectiveness of an in-car Robot Assistant (RA) that offers functionalities beyond voice interaction. We aim to answer the question: How does the presence of a social robot impact user experience in real driving scenarios? Our study begins with a user survey to understand perspectives on in-car VAs and their influence on driving experiences. We then conduct non-driving and on-road experiments with selected participants to assess user experiences with an RA. Additionally, we conduct subjective ratings to evaluate user perceptions of the RA's personality, which is crucial for robot design. We also explore potential concerns…
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Taxonomy
TopicsTransportation and Mobility Innovations · Human-Automation Interaction and Safety · Social Robot Interaction and HRI
