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Bon Appetit! Robot Persuasion for Food Recommendation

Sarita Herse, Jonathan Vitale, Daniel Ebrahimian, Meg Tonkin, Suman Ojha, Sidra Sidra, Benjamin Johnston, Sophie Phillips, Siva Leela Krishna Chand Gudi, Jesse N. Clark, William Q. Judge, Mary‐Anne Williams

发表年份
2018
引用次数
31

摘要

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.

关键词

PersuasionInteractive kioskRobotComputer scienceRecommender systemService (business)AdvertisingHuman–computer interactionArtificial intelligenceWorld Wide Web

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