Search systems on the Web rely on user input to generate relevant results. Since early information retrieval systems, users are trained to issue keyword searches and adapt to the language of the system. Recent research has shown that users often withhold detailed information about their initial information need, although they are able to express it in natural language. We therefore conduct a user study (N = 139) to investigate how four different design variants of search interfaces can encourage the user to reveal more information. Our results show that a chatbot-inspired search interface can increase the number of mentioned product attributes by 84% and promote natural language formulations by 139% in comparison to a standard search bar interface.
翻译：网络上的搜索系统依靠用户输入来产生相关结果。 自早期信息检索系统以来,用户就接受了发布关键词搜索和适应系统语言的培训。最近的研究表明,用户往往不提供有关其初始信息需要的详细信息,尽管他们能够用自然语言表达这些信息。因此,我们进行了用户研究(N=139),以调查搜索界面的四种不同的设计变式如何鼓励用户披露更多信息。我们的结果表明,一个聊天点激发的搜索接口可以使所提到的产品属性增加84%,促进自然语言配方比标准搜索栏界面增加139%。
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