The role of demographic similarity in people's decision to interact with online anthropomorphic recommendation agents: Evidence from a functional magnetic resonance imaging (fMRI) study

Abstract Recommendation agents (or decision aids) are prevalent in technology-mediated environments. Evidence suggests that people prefer to interact with anthropomorphic recommendation agents with human-like interfaces (avatars) that are demographically similar to them in terms of ethnicity and gender. Several competing theories in the literature have tried to explain why demographic similarity matters, most commonly similarity-attraction theory and dissimilarity-repulsion theory. We compare and contrast these theories by examining the neural bases of why demographic (ethnicity and gender) similarity matters when subjects decided to interact with the human-like avatars of online recommendation agents using functional Magnetic Resonance Imaging (fMRI). The fMRI results showed that men prefer to interact with online anthropomorphic recommendation agents whose avatar matches their ethnicity, while women tend to avoid interacting with online anthropomorphic agents of the opposite gender. Interestingly, the activation levels in the identified brain areas predict the product recommendation of the online recommendation agent from which subjects choose to purchase. Implications for theory, managerial practice, and the design of online anthropomorphic recommendation agents are discussed.