Informing the Design of Spoken Conversational Search

Johanne R. Trippas, Damiano Spina, Lawrence Cavedon, Hideo Joho, Mark Sanderson

Abstract: We conducted a laboratory-based observational study where pairs of people performed search tasks communicating verbally. Examination of the discourse allowed commonly used interactions to be identified for Spoken Conversational Search (SCS). We compared the interactions to existing models of search behaviour. We find that SCS is more complex and interactive than traditional search. This work enhances our understanding of different search behaviours and proposes research opportunities for an audio-only search system. Future work will focus on creating models of search behaviour for SCS and evaluating these against actual SCS systems.

Artifact Type: Dataset

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