为口语会话搜索的设计提供信息:透视论文

Johanne R. Trippas, Damiano Spina, L. Cavedon, Hideo Joho, M. Sanderson
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引用次数: 117

摘要

我们进行了一项以实验室为基础的观察性研究,让一对对的人通过口头交流来执行搜索任务。通过对话语的检查,可以识别出常用的互动,用于口语会话搜索(SCS)。我们将这种交互与现有的搜索行为模型进行了比较。我们发现SCS比传统的搜索更复杂,交互性更强。这项工作增强了我们对不同搜索行为的理解,并为纯音频搜索系统提供了研究机会。未来的工作将集中于为SCS创建搜索行为模型,并根据实际的SCS系统对这些模型进行评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Informing the Design of Spoken Conversational Search: Perspective Paper
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.
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