We examine the effect of incorporating gaze-based attention feedback from the user on personalizing the search process. Employing eye tracking data, we keep track of document part...
Previous work on understanding user web search behavior has focused on how people search and what they are searching for, but not why they are searching. In this paper, we describ...
Eye tracking experiments have shown that titles of Web search results play a crucial role in guiding a user’s search process. We present a machine-learned algorithm that trains ...
Tapas Kanungo, Nadia Ghamrawi, Ki Yuen Kim, Lawren...
Internet search engines display understanding or misunderstanding of user intent in and through the particular batches of results they retrieve and their perceived relevance. Yet ...
Robert J. Moore, Elizabeth F. Churchill, Raj Gopal...
We motivate an approach to evaluating the utility of lifelike interface agents that is based on human eye movements rather than questionnaires. An eye tracker is employed to obtai...
Helmut Prendinger, Chunling Ma, Jin Yingzi, Arturo...