An examination of user-focused context-gathering techniques in recommendation interfaces

Abstract

Attempts to capture context within applications take a wide variety of forms. While it is generally accepted that a user’s current context shapes how they perceive and interact with a system such as a recommender we here explore a novel method of interacting with the user to gain a conceptual understanding of their own frame of reference. By drawing on a more human-centric approach we show that users accept and participate in sharing of context readily as part of an interactive system.