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Towards Predicting Web Searcher Gaze Position from Mouse Movements
 

Summary: Towards Predicting Web Searcher
Gaze Position from Mouse Movements
Abstract
A key problem in information retrieval is inferring the
searcher's interest in the results, which can be used for
implicit feedback, query suggestion, and result ranking and
summarization. One important indicator of searcher interest is
gaze position that is, the results or the terms in a result
listing where a searcher concentrates her attention. Capturing
this information normally requires eye tracking equipment,
which until now has limited the use of gaze-based feedback to
the laboratory. While previous research has reported a
correlation between mouse movement and gaze position, we
are not aware of prior work on automatically inferring
searcher's gaze position from mouse movement or similar
interface interactions. In this paper, we report the first results
on automatically inferring whether the searcher's gaze
position is coordinated with the mouse position a crucial
step towards predicting the searcher gaze position by
analyzing the computer mouse movements.

  

Source: Agichtein, Eugene - Department of Mathematics and Computer Science, Emory University

 

Collections: Computer Technologies and Information Sciences