Conversations among people involve solving disputes, building common ground, and reinforce mutual beliefs and assumptions. Conversations often require external information that can support these human activities. In this paper, we study how a spoken conversation can be supported by a proactive search agent that listens to the conversation, detects entities mentioned in the conversation, and proactively retrieves and presents information related to the conversation. A total of 24 participants (12 pairs) were involved in informal conversations, using either the proactive search agent or a control condition that did not support conversational analysis or proactive information retrieval. Data comprising transcripts, interaction logs, questionnaires, and interviews indicated that the proactive search agent effectively augmented the conversations, affected the conversations' topical structure, and reduced the need for explicit search activity. The findings also revealed key challenges in the design of proactive search systems that assist people in natural conversations.
|Titolo della pubblicazione ospite||DIS 2018 - Proceedings of the 2018 Designing Interactive Systems Conference|
|Numero di pagine||14|
|Stato di pubblicazione||Published - 2018|
All Science Journal Classification (ASJC) codes
- Computer Networks and Communications
- Human-Computer Interaction