Can eyes reveal interest? Implicit queries from gaze patterns

被引:33
作者
Ajanki, Antti [1 ]
Hardoon, David R. [2 ]
Kaski, Samuel [1 ]
Puolamaki, Kai [1 ]
Shawe-Taylor, John [2 ]
机构
[1] Aalto Univ, Helsinki Inst Informat Technol, Dept Informat & Comp Sci, Espoo 02015, Finland
[2] UCL, Dept Comp Sci, London WC1E 6BT, England
关键词
Eye movements; Implicit relevance feedback; Information retrieval; Machine learning; Support vector machines;
D O I
10.1007/s11257-009-9066-4
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
080201 [机械制造及其自动化];
摘要
We study a new research problem, where an implicit information retrieval query is inferred from eye movements measured when the user is reading, and used to retrieve new documents. In the training phase, the user's interest is known, and we learn a mapping from how the user looks at a term to the role of the term in the implicit query. Assuming the mapping is universal, that is, the same for all queries in a given domain, we can use it to construct queries even for new topics for which no learning data is available. We constructed a controlled experimental setting to show that when the system has no prior information as to what the user is searching, the eye movements help significantly in the search. This is the case in a proactive search, for instance, where the system monitors the reading behaviour of the user in a new topic. In contrast, during a search or reading session where the set of inspected documents is biased towards being relevant, a stronger strategy is to search for content-wise similar documents than to use the eye movements.
引用
收藏
页码:307 / 339
页数:33
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