Starting Conversations with Search Engines - Interfaces that Elicit Natural Language Queries
Starting Conversations with Search Engines - Interfaces that Elicit Natural Language Queries
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开始与搜索引擎对话 - 引发自然语言查询的界面
DOI：
10.1145/3406522.3446035
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发表时间：
2021
期刊：
影响因子：
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通讯作者：
N. Fuhr
中科院分区：
文献类型：
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作者：
A. Papenmeier;Dagmar Kern;Daniel Hienert;A. Sliwa;Ahmet Aker;N. Fuhr
Web上的搜索系统依赖于用户输入来生成相关结果。从早期的信息检索系统开始，用户就被训练发出关键字搜索并适应系统的语言。最近的研究表明，用户通常会保留有关其初始信息需求的详细信息，尽管他们能够用自然语言表达。因此，我们进行了一项用户研究（N = 139），调查如何四个不同的设计变体的搜索界面可以鼓励用户透露更多的信息。我们的研究结果表明，与标准搜索栏界面相比，聊天机器人启发的搜索界面可以将提及的产品属性数量增加84%，并将自然语言公式提高139%。
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.