Journal
SENSORS
Volume 21, Issue 17, Pages -Publisher
MDPI
DOI: 10.3390/s21175722
Keywords
on-board robot; robot transparency; anthropomorphism; human-robot interactions
Funding
- National Social Science Fund of China [19FYSB040]
- CES-Kingfar Excellent Young Scholar Joint Research Funding [202002JG26]
- China Scholarship Council Foundation [2020-1509]
- Shanghai Automotive Industry Science and Technology Development Foundation [1717]
- Shenzhen Collaborative Innovation Project: International Science and Technology Cooperation [GHZ20190823164803756]
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This study investigated the impact of transparency and anthropomorphism in robotic dual-channel communication, showing both the benefits and limitations of increasing transparency and anthropomorphism on human-robot interaction. The careful implementation of transparency methods was emphasized in order to optimize human-robot performance.
Anthropomorphic robots need to maintain effective and emotive communication with humans as automotive agents to establish and maintain effective human-robot performances and positive human experiences. Previous research has shown that the characteristics of robot communication positively affect human-robot interaction outcomes such as usability, trust, workload, and performance. In this study, we investigated the characteristics of transparency and anthropomorphism in robotic dual-channel communication, encompassing the voice channel (low or high, increasing the amount of information provided by textual information) and the visual channel (low or high, increasing the amount of information provided by expressive information). The results showed the benefits and limitations of increasing the transparency and anthropomorphism, demonstrating the significance of the careful implementation of transparency methods. The limitations and future directions are discussed.
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