Vision & Cognition Laboratory |
EMMA Primary Reference Salvucci, D. D. (2001). An integrated model of eye movements and visual encoding. Cognitive Systems Research, 1(4), 201-220. Related References Salvucci, D.D., & Anderson, J.R. (2001). Automated eye-movement protocol analysis. Human-Computer Interaction, 16, 39-86. Salvucci, D. D. (2000). A model of eye movements and visual attention. In Proceedings of the Third International Conference on Cognitive Modeling(pp. 252-259). Veenendaal, The Netherlands: Universal Press. |
To provide more detailed accounts of behavior, many recent computational
cognitive models have attempted to predict a person's eye movements
during the execution of a given task. However, the vast majority
of these models do not actually predict eye movements, but rather
the shifts of visual attention between visual objects; this distinction,
which may seem unimportant, actually causes serious problems when
comparing model predictions to human data (e.g., consider a model
of reading that predicts fixations on every word, when we know people
often skip words). We have developed a computational model, EMMA,
that bridges this gap and accounts for the relationship between
eye movements, visual attention, and cognitive processes. EMMA (Eye
Movements and Movement of Attention) incorporates a close but indirect
link between eye movements and visual attention, thus enabling predictions
of common eye-movement phenomena such as skipped or multiple fixations
on a visual object. In addition, EMMA has been integrated with the