Exploring User Concerns about Disclosing Location and Emotion Information in Group Recommendations

Shabnam Najafian*, Tim Draws, Francesco Barile, Marko Tkalcic, Jie Yang, Nava Tintarev

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

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 Toury-Bot, 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.

Original languageEnglish
Title of host publicationHT '21: Proceedings of the 32nd ACM Conference on Hypertext and Social Media
PublisherAssociation for Computing Machinery
Pages155-164
Number of pages10
ISBN (Print)978-1-4503-8551-0
DOIs
Publication statusPublished - 2021
EventThe 32nd ACM Conference on Hypertext and Social Media: Hypertext in a Multimodal World - Online, ADAPT Centre, Trinity College Dublin, Dublin, Ireland
Duration: 30 Aug 20212 Sep 2021
Conference number: 32
https://ht.acm.org/ht2021/
https://doi.org/10.1145/3465336.3475104 (Proceedings)

Conference

ConferenceThe 32nd ACM Conference on Hypertext and Social Media
Abbreviated titleACMHT21
Country/TerritoryIreland
CityDublin
Period30/08/212/09/21
Internet address

Keywords

  • CONTEXT
  • PERSONALITY-TRAITS
  • PRIVACY
  • explanation
  • group recommendation
  • information privacy
  • privacy concern

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