Effects of Autonomous Driving Context and Anthropomorphism of in-Vehicle Voice Agents on Intimacy, Trust, and Intention to Use

Park, Donggun; Lee, Yushin; Kim, Yong Min

doi:10.1080/10447318.2023.2262271

International Journal of Human–Computer Interaction

2023

DOI: 10.1080/10447318.2023.2262271

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Effects of Autonomous Driving Context and Anthropomorphism of in-Vehicle Voice Agents on Intimacy, Trust, and Intention to Use

Donggun Park,

Yushin Lee,

Yong Min Kim

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2024

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Cited by 6 publications

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Transitioning to Human‐Centered AI: A Systematic Review of Theories, Scenarios, and Hypotheses in Human‐AI Interactions

Wang,

Zheng,

et al. 2024

Proceedings of the Association for Information Science and Tech

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This study conducted a systematic review of human‐AI interaction (HAI)over the past decade for the implemented theories and scenarios, and the tested hypotheses to discover the changes in the current transition to human‐centered AI (HCAI). Moving from acceptance theories, Computers are social actors (CASA), anthropomorphism, and the integrative trust model are the most frequent theories. Augmentation scenarios of decision‐making, teamwork, and human‐AI collaborations are common in the latest HAI studies. Users' trust, acceptance, and intention to use an AI system are the main research targets in HAI studies. These trends show a clear transition toward HCAI. This paper also discusses opportunities tied to HAI studies based on the interconnections between the various theories, scenarios, and hypotheses.

show abstract

Transitioning to Human‐Centered AI: A Systematic Review of Theories, Scenarios, and Hypotheses in Human‐AI Interactions

Wang,

Zheng,

et al. 2024

Proceedings of the Association for Information Science and Tech

View full text Add to dashboard Cite

show abstract

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Effects of Autonomous Driving Context and Anthropomorphism of in-Vehicle Voice Agents on Intimacy, Trust, and Intention to Use

Cited by 6 publications

References 55 publications

Transitioning to Human‐Centered AI: A Systematic Review of Theories, Scenarios, and Hypotheses in Human‐AI Interactions

Transitioning to Human‐Centered AI: A Systematic Review of Theories, Scenarios, and Hypotheses in Human‐AI Interactions

Detecting event-related driving anger with facial features captured by smartphones

EEG, EOG, Likert Scale, and Interview Approaches for Assessing Stressful Hazard Perception Scenarios

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