Searching during conversations and social interactions is becoming increasingly common. Although searching could be helpful for solving arguments, building common ground, and reinforcing mutual assumptions, it can also cause inter-actional problems. Proactive search approaches can enrich conversations with additional information without neglecting the shared and established social norms of being attentive to ongoing interaction. This demo showcases SearchBot, a tool that minimizes the issues associated with the practice of searching during conversations. It accomplishes this by tracking conversational background speech and then providing continuous recommendations of related documents and entities in a non-intrusive way .
|Titolo della pubblicazione ospite||Companion of the 2018 ACM Conference on Computer Supported Cooperative Work and Social Computing - CSCW '18|
|Numero di pagine||4|
|Stato di pubblicazione||Published - 2018|
All Science Journal Classification (ASJC) codes
- Computer Networks and Communications
- Human-Computer Interaction