Effective Assistance for Iterative Visual Search Tasks by Using Gaze-Based Visual Cognition Estimation
Author:
Affiliation:
1. School of Engineering, University of Hyogo
2. ATR Interaction Science Laboratories
3. Graduate School of Information Science and Engineering, Ritsumeikan University
4. Graduate School of Engineering, University of Hyogo
Funder
Japan Society for the Promotion of Science
Publisher
Japan Society for Fuzzy Theory and Intelligent Informatics
Link
https://www.jstage.jst.go.jp/article/jsoft/36/2/36_623/_pdf
Reference21 articles.
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2. [2] H. Sakaguchi, A. Utsumi, K. Susami, T. Kondo, M. Kanbara, and N. Hagita: “Analysis of relationship between target visual cognition difficulties and gaze movements in visual search task,” Proc. of the IEEE Int. Conf. on Systems, Man, and Cybernetics (SMC 2017), pp. 1423-1428, 2017.
3. [3] P. P. Maglio and C. S. Campbell: “Tradeoffs in displaying peripheral information,” Proc. of the SIGCHI Conf. on Human Factors in Computing Systems, pp. 241-248, 2000.
4. [4] A. Khan, J. Matejka, G. Fitzmaurice, and G. Kurtenbach: “Spotlight: Directing users’ attention on large displays,” Proc. of the SIGCHI Conf. on Human Factors in Computing Systems (CHI2005), pp. 791-798, 2005.
5. [5] E. Barth, M. Dorr, M. Böhme, K. Gegenfurtner, and T. Martinetz: “Guiding the mind’s eye: Improving communication and vision by external control of the scanpath,” Human Vision and Electronic imaging XI, Vol.6057, pp. 116-123, 2006.
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