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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 participantsdoi:10.1145/3196709.3196734 dblp:conf/ACMdis/AndolinaOSKRGJ18 fatcat:w5cslyi7fngk7jayq6amubrndy