Eye tracking in web search tasks: design implications
ETRA '02 Proceedings of the 2002 symposium on Eye tracking research & applications
Cheese: tracking mouse movement activity on websites, a tool for user modeling
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
Reading patterns and usability in visualizations of electronic documents
ACM Transactions on Computer-Human Interaction (TOCHI)
The determinants of web page viewing behavior: an eye-tracking study
Proceedings of the 2004 symposium on Eye tracking research & applications
Usability tool for analysis of web designs using mouse tracks
CHI '06 Extended Abstracts on Human Factors in Computing Systems
Eye-mouse coordination patterns on web search results pages
CHI '08 Extended Abstracts on Human Factors in Computing Systems
A heatmap-based visualization for navigation within large web pages
Proceedings of the 5th Nordic conference on Human-computer interaction: building bridges
What do you see when you're surfing?: using eye tracking to predict salient regions of web pages
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Eye tracking analysis of preferred reading regions on the screen
CHI '10 Extended Abstracts on Human Factors in Computing Systems
Towards predicting web searcher gaze position from mouse movements
CHI '10 Extended Abstracts on Human Factors in Computing Systems
Eyetracking Web Usability
No clicks, no problem: using cursor movements to understand and improve search
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Using gaze patterns to study and predict reading struggles due to distraction
CHI '11 Extended Abstracts on Human Factors in Computing Systems
ViewSer: enabling large-scale remote user studies of web search examination and interaction
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Assessing the relationship between context, user preferences, and content in search behaviour
Proceedings of the 5th Ph.D. workshop on Information and knowledge
Changing perspectives on evaluation in HCI: past, present, and future
CHI '13 Extended Abstracts on Human Factors in Computing Systems
Mining touch interaction data on mobile devices to predict web search result relevance
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
TellMyRelevance!: predicting the relevance of web search results from cursor interactions
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Robust models of mouse movement on dynamic web search results pages
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Discovering common motifs in cursor movement data for improving web search
Proceedings of the 7th ACM international conference on Web search and data mining
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Previous studies have used mouse tracking as a tool to measure usability of webpages, user attention and search relevance. In this paper, we go beyond measurement of user behavior to prediction of the resulting user experience from mouse patterns alone. Specifically, we identify mouse markers that can predict user frustration and reading struggles at reasonably high accuracy. We believe that mouse-based prediction of user experience is an important advance, and could potentially offer a scalable way to infer user experience on the web. In addition, we demonstrate that mouse tracking could be used for applications such as evaluating content layout and content noticeability; we apply this in particular to advertisements. More generally, it could be used to infer user attention in complex webpages containing images, text and varied content, including how attention patterns vary with page layout and user distraction.