Beyond Voice Assistants: Exploring Advantages and Risks of an In-Car Social Robot in Real Driving Scenarios
CoRR(2024)
摘要
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 regarding ethical risks. Finally, we provide a comprehensive
discussion and recommendations for the future development of in-car RAs.
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