Investigating the Impacts of Expectation Disconfirmation on Web Search

Investigating the Impacts of Expectation Disconfirmation on Web Search
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调查预期否定对网络搜索的影响

DOI:
10.1145/3295750.3298959
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发表时间:
2019
期刊:
Proceedings of ACM Conference on Human Information Interaction and Retrieval (CHIIR
影响因子:
--
通讯作者:
Shah, Chirag
Shah, Chirag
中科院分区:
--
文献类型:
--
作者:
Liu, Jiqun;Shah, Chirag

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期望不一致是指用户对系统的感知性能与她最初的期望不一致的情况。以往的信息系统研究表明,期望失确会显著影响系统用户的行为和体验。受这一发现的启发,我们超越了关注最终搜索后感知的传统方法,研究了Web搜索中的期望不确认问题。本研究考察了任务难度期望失证,结果表明:(1)意外困难任务显著降低用户的搜索成功感知水平,增加用户的时间压力感知水平;(2)任务难度期望失证的大小和方向与网络搜索行为显著相关;(3)基于搜索行为特征可以预测期望失证状态(特别是负面的、出乎意料的困难情况)。本研究证明了将期望失确认方法与交互式IR研究相结合的价值,从而可以鼓励未来的研究者进一步探索用户期望和搜索后感知的其他方面的影响。
Expectation disconfirmation refers to the situation where a user's perceived performance of a system disconfirms her original expectation. Previous information systems studies have demonstrated that expectation disconfirmation can significantly affect a system user's behavior and experience. Inspired by this finding, we go beyond the traditional approach that focuses on the final post-search perception and study the expectation disconfirmation problem in Web search. Our study investigates task difficulty expectation disconfirmation and demonstrates that: (1) unexpectedly difficult task can significantly decrease a user's perceived level of search success and increase the perceived time pressure; (2) the size and direction of task difficulty expectation disconfirmation are significantly associated with Web search behavior; (3) it is possible to predict the state of expectation disconfirmation (especially the negative, unexpectedly difficult cases) based on search behavioral features. This study demonstrates the value of integrating expectation disconfirmation approach with interactive IR research and thus may encourage future researchers to further explore the effects of other aspects of users' expectations and post-search perceptions.
任务主题在不同任务类型的 Web 搜索中的作用
DOI: 10.1145/3176349.3176382
发表时间: 2018
期刊: Proceedings of the 2018 Conference on Human Information Interaction & Retrieval
影响因子: --
作者:
Daniel Hienert;M. Mitsui;Philipp Mayr;C. Shah;N. Belkin
通讯作者: N. Belkin