Manual and gaze input cascaded (MAGIC) pointing
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Visualizing implicit queries for information management and retrieval
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Evaluation of eye gaze interaction
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Proceedings of the 6th international conference on Intelligent user interfaces
Chinese input with keyboard and eye-tracking: an anatomical study
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
What attracts the eye to the location of missed and reported breast cancers?
ETRA '02 Proceedings of the 2002 symposium on Eye tracking research & applications
WebEyeMapper and WebLogger: tools for analyzing eye tracking data collected in web-use studies
CHI '01 Extended Abstracts on Human Factors in Computing Systems
What can a mouse cursor tell us more?: correlation of eye/mouse movements on web browsing
CHI '01 Extended Abstracts on Human Factors in Computing Systems
Communications of the ACM
Proceedings of the 2004 symposium on Eye tracking research & applications
Implicit queries (IQ) for contextualized search
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
BT Technology Journal
EyeWindows: evaluation of eye-controlled zooming windows for focus selection
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Conversing with the user based on eye-gaze patterns
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
WebGazeAnalyzer: a system for capturing and analyzing web reading behavior using eye gaze
CHI '05 Extended Abstracts on Human Factors in Computing Systems
Evaluating implicit measures to improve web search
ACM Transactions on Information Systems (TOIS)
openEyes: a low-cost head-mounted eye-tracking solution
Proceedings of the 2006 symposium on Eye tracking research & applications
High-cost banner blindness: Ads increase perceived workload, hinder visual search, and are forgotten
ACM Transactions on Computer-Human Interaction (TOCHI)
Gaze-based interaction for semi-automatic photo cropping
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Proceedings of the 15th international conference on World Wide Web
Non-Verbal Feedback on User Interest Based on Gaze Direction and Head Pose
SMAP '07 Proceedings of the Second International Workshop on Semantic Media Adaptation and Personalization
Query expansion using gaze-based feedback on the subdocument level
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Can relevance of images be inferred from eye movements?
MIR '08 Proceedings of the 1st ACM international conference on Multimedia information retrieval
Display Blindness: The Effect of Expectations on Attention towards Digital Signage
Pervasive '09 Proceedings of the 7th International Conference on Pervasive Computing
The MAGIC Touch: Combining MAGIC-Pointing with a Touch-Sensitive Mouse
INTERACT '09 Proceedings of the 12th IFIP TC 13 International Conference on Human-Computer Interaction: Part II
Can eyes reveal interest? Implicit queries from gaze patterns
User Modeling and User-Adapted Interaction
CHI '10 Extended Abstracts on Human Factors in Computing Systems
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The World Wide Web has evolved into a widely used interactive application platform, providing information, products, and services. With eye trackers we envision that gaze information as an additional input channel can be used in the future to adapt and tailor web content (e.g., news, information, ads) towards the users' attention as they implicitly interact with web pages. We present a novel approach, which allows web content to be customized on-the-fly based on the the user's gaze behavior (dwell time, duration of fixations, and number of fixations). Our system analyzes the gaze path on a page and uses this information to create adaptive content on subsequent pages. As a proof-of-concept we report on a case study with 12 participants. We presented them both randomly chosen content (baseline) as well as content chosen based on their gaze-behavior. We found a significant increase of attention towards the adapted content and evidence for changes in the user attitude based on the Elaboration Likelihood Model.