Thomas Beelen, Roeland Ordelman, Khiet P. Truong, Vanessa Evers, Theo Huibers
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引用次数: 0
摘要
Siri 和亚马逊 Echo 等交互式语音技术允许人们通过语音搜索信息。这些系统通常将单一的口语陈述或查询作为输入,但这可能不足以完全捕捉用户的信息需求。因此,有人提出通过多轮对话来确定更多细节。会话方法尤其有利于儿童,因为他们在提出精确查询时会遇到更多困难。我们对 32 名儿童进行了一项研究,比较了多轮对话和单次(或查询-回复)互动。我们比较了对信息需求的描述以及儿童的搜索体验。研究结果表明,与 "询问-回复 "搜索相比,通过对话搜索收集到的儿童信息需求描述更详细(关键词更多),搜索结果也更有针对性。通过进一步分析儿童的回答,可以深入了解他们对与语音界面对话的偏好。本文还为支持儿童信息搜索的会话代理提供了设计和方法上的建议。
Does conversation lead to better searches? Investigating single-shot and multi-turn spoken searches with children
Interactive speech technologies such as Siri and Amazon Echo allow people to search for information via speech. These systems generally take a single spoken statement or query as input, which may not be enough to fully capture the user’s information need. Therefore, multi-turn conversations have been proposed to establish more detail. A conversational approach can particularly benefit children who experience more difficulty formulating precise queries. We carried out a study with 32 children comparing multi-turn conversations with single-shot (or Query-Response) interactions. We compared the descriptions of the information needs, as well as children’s search experience. Findings indicate that more elaborate descriptions of children’s information needs (more keywords) were gathered through conversational search, leading to more focused search results compared with the Query-Response search. Further analysis of children’s responses yielded insights into their preferences for conversing with speech-based interfaces. This paper also offers design and methodological recommendations for conversational agents that support children’s information search.