The Turn: Integration of Information Seeking and Retrieval in Context (The Information Retrieval Series)
Evaluating the accuracy of implicit feedback from clicks and query reformulations in Web search
ACM Transactions on Information Systems (TOIS)
An eye tracking study of the effect of target rank on web search
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Eye movements as implicit relevance feedback
CHI '08 Extended Abstracts on Human Factors in Computing Systems
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
Information interaction in molecular medicine: integrated use of multiple channels
Proceedings of the third symposium on Information interaction in context
Application of session analysis to search interface design
ECDL'10 Proceedings of the 14th European conference on Research and advanced technology for digital libraries
A search log-based approach to evaluation
ECDL'10 Proceedings of the 14th European conference on Research and advanced technology for digital libraries
| Hi-index | 0.00 |
After presenting the ezDL experimental framework for the evaluation of user interfaces to digital library systems, we describe a new method for the quantitative analysis of user search sessions at a cognitive level. We combine system logs with gaze tracking, which is enhanced by a new framework for capturing dynamic areas of interest. This observation data is mapped onto a user action level. Then the user search process is modeled as a Markov-chain. The analysis not only allows for a better understanding of user behavior, but also points out possible system improvements.