Print Email Facebook Twitter Exploring User Concerns about Disclosing Location and Emotion Information in Group Recommendations Title Exploring User Concerns about Disclosing Location and Emotion Information in Group Recommendations Author Najafian, S. (TU Delft Web Information Systems) Draws, T.A. (TU Delft Web Information Systems) Barile, Francesco (Universiteit Maastricht) Tkalcic, Marko (University of Primorska, Koper) Yang, J. (TU Delft Web Information Systems) Tintarev, N. (Universiteit Maastricht) Date 2021 Abstract Recent research has shown that explanations serve as an important means to increase transparency in group recommendations while also increasing users' privacy concerns. However, it is currently unclear what personal and contextual factors affect users' privacy concerns about various types of personal information. This paper studies the effect of users' personality traits and preference scenarios-having a majority or minority preference-on their privacy concerns regarding location and emotion information. To create natural scenarios of group decision-making where users can control the amount of information disclosed, we develop TouryBot, a chat-bot agent that generates natural language explanations to help group members explain their arguments for suggestions to the group in the tourism domain. We conducted a user study in which we instructed 541 participants to convince the group to either visit or skip a recommended place. Our results show that users generally have a larger concern regarding the disclosure of emotion compared to location information. However, we found no evidence that personality traits or preference scenarios affect privacy concerns in our task. Further analyses revealed that task design (i.e., the pressure on users to convince the group) had an effect on participants' emotion-related privacy concerns. Our study also highlights the utility of providing users with the option of partial disclosure of personal information, which appeared to be popular among the participants. Subject explanationgroup recommendationinformation privacyprivacy concern To reference this document use: http://resolver.tudelft.nl/uuid:b4767c42-4c22-45d3-9ac6-a14d5dc39a78 DOI https://doi.org/10.1145/3465336.3475104 Publisher Association for Computing Machinery (ACM) ISBN 9781450385510 Source HT 2021 - Proceedings of the 32nd ACM Conference on Hypertext and Social Media Event 32nd ACM Conference on Hypertext and Social Media, HT 2021, 2021-08-30 → 2021-09-02, Virtual, Online, Ireland Series HT 2021 - Proceedings of the 32nd ACM Conference on Hypertext and Social Media Part of collection Institutional Repository Document type conference paper Rights © 2021 S. Najafian, T.A. Draws, Francesco Barile, Marko Tkalcic, J. Yang, N. Tintarev Files PDF 3465336.3475104.pdf 2.7 MB Close viewer /islandora/object/uuid:b4767c42-4c22-45d3-9ac6-a14d5dc39a78/datastream/OBJ/view