Visible to the public Do You Trust Me, Blindly? Factors Influencing Trust Towards a Robot Recommender System

TitleDo You Trust Me, Blindly? Factors Influencing Trust Towards a Robot Recommender System
Publication TypeConference Paper
Year of Publication2018
AuthorsHerse, S., Vitale, J., Tonkin, M., Ebrahimian, D., Ojha, S., Johnston, B., Judge, W., Williams, M.
Conference Name2018 27th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN)
Date PublishedAug. 2018
ISBN Number978-1-5386-7980-7
KeywordsAustralia, Collaboration, decision making, ecological validity, Human Behavior, human factors, human users collaborate, human-robot interaction, increases user trust, mobile robots, nonoptimal choice, perceived source credibility, preference elicitation, pubcrawl, recommender systems, resilience, Resiliency, restaurant recommender system, robot recommender system, Robot Trust, robust trust, Technological innovation, Trust, Trusted Computing, user acceptance, user decision making, user engagement

When robots and human users collaborate, trust is essential for user acceptance and engagement. In this paper, we investigated two factors thought to influence user trust towards a robot: preference elicitation (a combination of user involvement and explanation) and embodiment. We set our experiment in the application domain of a restaurant recommender system, assessing trust via user decision making and perceived source credibility. Previous research in this area uses simulated environments and recommender systems that present the user with the best choice from a pool of options. This experiment builds on past work in two ways: first, we strengthened the ecological validity of our experimental paradigm by incorporating perceived risk during decision making; and second, we used a system that recommends a nonoptimal choice to the user. While no effect of embodiment is found for trust, the inclusion of preference elicitation features significantly increases user trust towards the robot recommender system. These findings have implications for marketing and health promotion in relation to Human-Robot Interaction and call for further investigation into the development and maintenance of trust between robot and user.

Citation Keyherse_you_2018