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» Predicting postcompletion errors using eye movements
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ICANN
2010
Springer
13 years 6 months ago
Using Reinforcement Learning to Guide the Development of Self-organised Feature Maps for Visual Orienting
We present a biologically inspired neural network model of visual orienting (using saccadic eye movements) in which targets are preferentially selected according to their reward va...
Kevin Brohan, Kevin N. Gurney, Piotr Dudek
ETRA
2010
ACM
176views Biometrics» more  ETRA 2010»
14 years 11 days ago
Learning relevant eye movement feature spaces across users
In this paper we predict the relevance of images based on a lowdimensional feature space found using several users’ eye movements. Each user is given an image-based search task,...
Zakria Hussain, Kitsuchart Pasupa, John Shawe-Tayl...
CHI
1999
ACM
13 years 9 months ago
Inferring Intent in Eye-Based Interfaces: Tracing Eye Movements with Process Models
While current eye-based interfaces offer enormous potential for efficient human-computer interaction, they also manifest the difficulty of inferring intent from user eye movements...
Dario D. Salvucci
CHI
2003
ACM
14 years 5 months ago
Cognitive strategies and eye movements for searching hierarchical computer displays
This research investigates the cognitive strategies and eye movements that people use to search for a known item in a hierarchical computer display. Computational cognitive models...
Anthony J. Hornof, Tim Halverson
ICVS
2009
Springer
14 years 2 days ago
Relevance of Interest Points for Eye Position Prediction on Videos
This papers tests the relevance of interest points to predict eye movements of subjects when viewing video sequences freely. Moreover the papers compares the eye positions of subje...
Alain Simac-Lejeune, Sophie Marat, Denis Pellerin,...