Bon Appetit! Robot Persuasion for Food Recommendation
- Publication Type:
- Conference Proceeding
- Citation:
- ACM/IEEE International Conference on Human-Robot Interaction, 2018, pp. 125 - 126
- Issue Date:
- 2018-03-01
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Filename | Description | Size | |||
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bon_apetit_HRI2018.pdf | Accepted Manuscript version | 451.42 kB |
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© 2018 Authors. The integration of social robots within service industries requires social robots to be persuasive. We conducted a vignette experiment to investigate the persuasiveness of a human, robot, and an information kiosk when offering consumers a restaurant recommendation. We found that embodiment type significantly affects the persuasiveness of the agent, but only when using a specific recommendation sentence. These preliminary results suggest that human-like features of an agent may serve to boost persuasion in recommendation systems. However, the extent of the effect is determined by the nature of the given recommendation.
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