Providing Direct Answers in Search Results: A Study of User Behavior

Zhijing Wu, Mark Sanderson, B. Barla Cambazoglu, W. Bruce Croft, Falk Scholer

科研成果: 书/报告/会议事项章节会议稿件同行评审

13 引用 (Scopus)

摘要

To study the impact of providing direct answers in search results on user behavior, we conducted a controlled user study to analyze factors including reading time, eye-tracked attention, and the influence of the quality of answer module content. We also studied a more advanced answer interface, where multiple answers are shown on the search engine results page (SERP). Our results show that users focus more extensively than normal on the top items in the result list when answers are provided. The existence of the answer module helps to improve user engagement on SERPs, reduces user effort, and promotes user satisfaction during the search process. Furthermore, we investigate how the question type - factoid or non-factoid - affects user interaction patterns. This work provides insight into the design of SERPs that includes direct answers to queries, including when answers should be shown.

源语言英语
主期刊名CIKM 2020 - Proceedings of the 29th ACM International Conference on Information and Knowledge Management
出版商Association for Computing Machinery
1635-1644
页数10
ISBN(电子版)9781450368599
DOI
出版状态已出版 - 19 10月 2020
已对外发布
活动29th ACM International Conference on Information and Knowledge Management, CIKM 2020 - Virtual, Online, 爱尔兰
期限: 19 10月 202023 10月 2020

出版系列

姓名International Conference on Information and Knowledge Management, Proceedings

会议

会议29th ACM International Conference on Information and Knowledge Management, CIKM 2020
国家/地区爱尔兰
Virtual, Online
时期19/10/2023/10/20

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引用此

Wu, Z., Sanderson, M., Cambazoglu, B. B., Croft, W. B., & Scholer, F. (2020). Providing Direct Answers in Search Results: A Study of User Behavior. 在 CIKM 2020 - Proceedings of the 29th ACM International Conference on Information and Knowledge Management (页码 1635-1644). (International Conference on Information and Knowledge Management, Proceedings). Association for Computing Machinery. https://doi.org/10.1145/3340531.3412017