“Do you trust me?” – A Structured Evaluation of Trust and Social Recommendation Agents

Walter N


Abstract
Recommender systems are considered as useful software that helps users in screening and evaluating products. The fact that users do not know how these systems make decisions leads to an information asymmetry. Thus, users need to trust if they want to take over systems' recommendations. Applying social interfaces has been suggested as helpful extensions of recommender systems to increase trust. These are called (Social) Recommendation Agents. While many articles and implementations can be found in the field of e-commerce, we believe that Recommendation Agents can be applied to other contexts, too. However, a structured evaluation of contexts and design dimensions for Recommendation Agents is lacking. In this study, first, we give an overview of design dimensions for Recommendation Agents. Second, we explore previous research on trust and Recommendation Agents by means of a structured literature review. Finally, based on the resulting overview, we highlight three major areas for future research.

Keywords
Social Recommendation Agents, Social Presence, Trust.



Publication type
Conference Paper

Peer reviewed
Yes

Publication status
Published

Year
2014

Conference
13th Annual Workshop on HCI Research in MIS (SIGHCI 2014)

Venue
Auckland, New Zealand

Language
English