@inproceedings{8b54f5e3436846be835dbe527395f537,
title = "The Effect of Personalization Techniques in Users' Perceptions of Conversational Recommender Systems",
abstract = "Conversational recommender systems provide users with individually tailored recommendations in a flowing dialogue. These require users to disclose information proactively or reactively for receiving personalized recommendations, which can trigger users' resistance to the platform and to the recommendations. Accordingly, this study examined the extent to which user-initiated and system-initiated recommendations provided by a conversational recommender system influenced users' perceptions of it. The results of an online experiment entail that when recommendations are system-initiated, as compared to user-initiated, users perceive to be in less control and perceive the system as riskier. Furthermore, the results stress that systems that provide user-initiated or system-initiated recommendations do not differ in users' perceptions of anthropomorphism.",
keywords = "Anthropomorphism, Chatbots, Conversational Agents, E-commerce, Personalization, Privacy, Recommender Systems",
author = "Guy Laban and Theo Araujo",
note = "Publisher Copyright: {\textcopyright} 2020 Owner/Author.; 20th ACM International Conference on Intelligent Virtual Agents, IVA 2020 ; Conference date: 20-10-2020 Through 22-10-2020",
year = "2020",
month = oct,
day = "20",
doi = "10.1145/3383652.3423890",
language = "English",
series = "Proceedings of the 20th ACM International Conference on Intelligent Virtual Agents, IVA 2020",
publisher = "Association for Computing Machinery, Inc",
booktitle = "Proceedings of the 20th ACM International Conference on Intelligent Virtual Agents, IVA 2020",
}