2 research outputs found
Designing Trustworthy Product Recommendation Virtual Agents Operating Positive Emotion and Having Copious Amount of Knowledge
Anthropomorphic agents used in online-shopping need to be trusted by users so that users feel comfortable buying products. In this paper, we propose a model for designing trustworthy agents by assuming two factors of trust, that is, emotion and knowledgeableness perceived. Our hypothesis is that when a user feels happy and perceives an agent as being highly knowledgeable, a high level of trust results between the user and agent. We conducted four experiments with participants to verify this hypothesis by preparing transition operators utilizing emotional contagion and knowledgeable utterances. As a result, we verified that users' internal states transitioned as expected and that the two factors significantly influenced their trust states
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Establish Trust and Express Attitude for a Non-Humanoid Robot
In recent years, there has been an increasing interest in design-ing social robots to interact with people to provide therapy andcompanionship. Most social robots currently being used arelight-weight and much smaller in size compared to people. Inthis work, we investigate designing interactions for larger andmore physically capable robots as they have more potential toassist people physically. A modified version of Baxter robotwas used, by sitting Baxter on top of an electronic wheelchair.Two experiments were designed for studying the role of facialexpressions and body movements in establishing trust with theuser and for expressing attitudes. Our results suggest that therobot is capable of expressing fine and distinguishable attitudes(proud vs. relaxed) using its body language, and the couplingbetween body movements and speech is essential for the robotto be viewed as a person