Cumulated gain-based evaluation of IR techniques
ACM Transactions on Information Systems (TOIS)
EyeDraw: enabling children with severe motor impairments to draw with their eyes
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Web search engine multimedia functionality
Information Processing and Management: an International Journal
An eye tracking approach to image search activities using RSVP display techniques
AVI '08 Proceedings of the working conference on Advanced visual interfaces
GaZIR: gaze-based zooming interface for image retrieval
Proceedings of the 2009 international conference on Multimodal interfaces
Image ranking with implicit feedback from eye movements
Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications
The text 2.0 framework: writing web-based gaze-controlled realtime applications quickly and easily
Proceedings of the 2010 workshop on Eye gaze in intelligent human machine interaction
Typing with eye-gaze and tooth-clicks
Proceedings of the Symposium on Eye Tracking Research and Applications
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We investigate if a clipboard as an extension to standard image search improves user interaction and experience. In a task-based summative evaluation with 32 participants, we compare plain Google Image Search against two extensions using a clipboard. One clipboard variant is filled with images based on DCG ranking. In the other variant, the clipboard is filled based on gaze information provided by an eyetracker. We assumed that the eyetracking-based clipboard will significantly outperform the other conditions due to its human-centered filtering of the images. To our surprise, the results show that eyetracking-based clipboard was in almost all tasks worse with respect to user satisfaction. In addition, no significant differences regarding effectiveness and efficiency between the three conditions could be observed.