Information seeking in electronic environments
Information seeking in electronic environments
A Model of Saliency-Based Visual Attention for Rapid Scene Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
ACT-R: a theory of higher level cognition and its relation to visual attention
Human-Computer Interaction
SNIF-ACT: a model of information foraging on the world wide web
UM'03 Proceedings of the 9th international conference on User modeling
Eye movements as time-series random variables: A stochastic model of eye movement control in reading
Cognitive Systems Research
A Model to Simulate Web Users' Eye Movements
INTERACT '09 Proceedings of the 12th IFIP TC 13 International Conference on Human-Computer Interaction: Part I
| Hi-index | 0.00 |
This paper presents a threefold model of information seeking. A visual, a semantic and a memory map are dynamically computed in order to predict the location of the next fixation. This model is applied to a task in which the goal is to find among 40 words the one which best corresponds to a definition. Words have visual features and they are semantically organized. The model predicts scanpaths which are compared to human scanpaths on 3 high-level variables (number of fixations, average angle between saccades, rate of progression saccades). The best fit to human data is obtained when the memory map is given a strong weight and the semantic component a low weight.