6533b824fe1ef96bd1281593
RESEARCH PRODUCT
Investigating Proactive Search Support in Conversations
Giulio JacucciValeria OrsoTuukka RuotsaloKhalil KloucheLuciano GamberiniHendrik SchneiderSalvatore Andolinasubject
Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniStructure (mathematical logic)Settore INF/01 - InformaticaComputer sciencemedia_common.quotation_subject05 social sciencesControl (management)Common ground02 engineering and technology113 Computer and information sciencesvoice interfacesWorld Wide Web020204 information systems0202 electrical engineering electronic engineering information engineeringKey (cryptography)Natural (music)0501 psychology and cognitive sciencesConversationbackground speechspoken conversation supportproactive search050107 human factorsmedia_commondescription
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. Peer reviewed
year | journal | country | edition | language |
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2018-06-08 |