• Adam Moore
  • Gudrun Wesiak
  • Christina M. Steiner
  • Claudia Hauff
  • Declan Dagger
  • Gary Donahue
  • Owen Conlan
. Research on user modeling based on social network information has shown that some user characteristics can be accurately inferred from users’ digital traces. This kind of information can be used to inform user models of adaptive systems for personalizing the system. This paper addresses a crucial question for practical application of this approach: Are users actually willing to provide their social Web profiles and how do they perceive this? An empirical study conducted with medical students shows that although participants are using social networks, they are reluctant about providing their identities and consider these portals rather private. The outcomes of the study uncover a clear need for further research on enhanced privacy and enhanced trust
Original languageEnglish
Title of host publicationProceedings of the 21st Conference on User Modeling, Adaptation, and Personalization
PublisherCEUR Workshop Proceedings at CEUR-WS.org/Vol-997/
Number of pages7
Publication statusPublished - 10 Jun 2013
EventUMAP 2013: 21st Conference on User Modeling, Adaptation, and Personalization - Rome, Italy
Duration: 10 Jun 201314 Jun 2013

Publication series

NameISSN 1613-0073
PublisherCEUR Workshop Proceedings at CEUR-WS.org/Vol-997/

Conference

ConferenceUMAP 2013: 21st Conference on User Modeling, Adaptation, and Personalization
CountryItaly
CityRome
Period10/06/1314/06/13

ID: 15547932