Abstract
Location-sharing services such as Facebook and Foursquare/Swarm have become increasingly popular, due to the ease at which users can share their locations, and participate in services, games and other applications that leverage these locations. But it is important for people who use these services to configure appropriate location-privacy preferences so that they can control to whom they want to share their location information. Manually configuring these preferences may be burdensome and confusing, and so location-privacy preference recommenders based on crowdsourcing preferences from other users have been proposed. Whether people will accept the recommended preferences acquired from other users, who they may not know or trust, has not, however, been investigated.In this paper, we present a user experiment (n=99) to explore what factors influence people’s acceptance of location privacy preference recommenders. We find that 44% of our participants have privacy concerns about such recommenders. These concerns are shown to have a negative effect (p <0.001) on their acceptance of the recommendations and their satisfaction about their choices. Furthermore, users’ acceptance of recommenders varies according to both context and recommendations being made. Our findings are potentially useful to designers of location-sharing services and privacy recommenders.
Original language | English |
---|---|
Title of host publication | Proceedings of the 21st International Conference on Intelligent User Interfaces (IUI '16) |
Place of Publication | New York |
Publisher | ACM |
Pages | 218-227 |
Number of pages | 10 |
ISBN (Print) | 9781450341370 |
DOIs | |
Publication status | Published - 7 Mar 2016 |
Event | ACM International Conference on Intelligent User Interfaces (IUI '16) - Sonoma Rennaissance Resort and Spa, California, Sonoma, United States Duration: 7 Mar 2016 → 10 Mar 2016 Conference number: 21 http://iui.acm.org/2016/ |
Conference
Conference | ACM International Conference on Intelligent User Interfaces (IUI '16) |
---|---|
Abbreviated title | IUI '16 |
Country/Territory | United States |
City | Sonoma |
Period | 7/03/16 → 10/03/16 |
Internet address |
Keywords
- Location-based services
- Location-sharing services
- Privacy preferences
- Recommender systems
- User acceptance
Fingerprint
Dive into the research topics of 'The effect of privacy concerns on privacy recommenders'. Together they form a unique fingerprint.Profiles
-
Tristan Henderson
- School of Computer Science - Senior Lecturer
- Centre for Research into Equality, Diversity & Inclusion
Person: Academic