Investigating examination behavior of image search users

Xiaohui Xie, Yiqun Liu, Xiaochuan Wang, Meng Wang, Zhijing Wu, Yingying Wu, Min Zhang, Shaoping Ma

科研成果: 书/报告/会议事项章节会议稿件同行评审

32 引用 (Scopus)

摘要

Image search engines show results differently from general Web search engines in three key ways: (1) mostWeb-based image search engines adopt the two-dimensional result placement instead of the linear result list; (2) image searches show snapshots instead of snippets (query-dependent abstracts of landing pages) on search engine result pages (SERPs); and (3) pagination is usually not (explicitly) supported on image search SERPs, and users can view results without having to click on the "next page" bu.on. Compared with the extensive study of user behavior in general Web search scenarios, there exists no thorough investigation how the different interaction mechanism of image search engines affects users' examination behavior. To shed light on this research question, we conducted an eye-Tracking study to investigate users' examination behavior in image searches. We focus on the impacts of factors in examination including position, visual saliency, edge density, the existence of textual information, and human faces in result images. .ree interesting findings indicate users' behavior biases: (1) instead of the traditional "Golden Triangle" phenomena in the user examination patterns of general Web search, we observe a middle-position bias, (2) besides the position factor, the content of image results (e.g., visual saliency) affects examination behavior, and (3) some popular behavior assumptions in general Web search (e.g., examination hypothesis) do not hold in image search scenarios. We predict users' examination behavior with different impact factors. Results show that combining position and visual content features can improve prediction in image searches.

源语言英语
主期刊名SIGIR 2017 - Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval
出版商Association for Computing Machinery, Inc
275-284
页数10
ISBN(电子版)9781450350228
DOI
出版状态已出版 - 7 8月 2017
已对外发布
活动40th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2017 - Tokyo, Shinjuku, 日本
期限: 7 8月 201711 8月 2017

出版系列

姓名SIGIR 2017 - Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval

会议

会议40th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2017
国家/地区日本
Tokyo, Shinjuku
时期7/08/1711/08/17

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引用此

Xie, X., Liu, Y., Wang, X., Wang, M., Wu, Z., Wu, Y., Zhang, M., & Ma, S. (2017). Investigating examination behavior of image search users. 在 SIGIR 2017 - Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (页码 275-284). (SIGIR 2017 - Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval). Association for Computing Machinery, Inc. https://doi.org/10.1145/3077136.3080799