Recognizing Visual Attention Allocation Patterns Using Gaze Behaviors
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Publisher
Springer Singapore
Link
http://link.springer.com/content/pdf/10.1007/978-981-10-2053-7_49
Reference20 articles.
1. Gonalves, M.G., Luiz, A.A.F., Oliveira, R.A., Grupen, D.S., Wheeler, A.H.F.: Tracing patterns and attention: Humanoid robot cognition. IEEE Intell. Syst. Mag. 15, 70–75 (2000)
2. Gabaix, X., Laibson, D.I., Moloche, G., Weinberg, S.E.: The allocation of attention: theory and evidence. MIT Department of Economics Working Paper No. 03–31 (2003)
3. Admoni, H., Dragan, A., Srinivasa, S.S., Scassellati, B.: Deliberate delays during robot-to-human handovers improve compliance with gaze communication, pp. 49–56 (2014)
4. Lin, Y., Zhang, W.J., Wu, C., Yang, G., Dy, J.: A fuzzy logics clustering approach to computing human attention allocation using eyegaze movementcue. Int. J. Hum. Comput. Stud. 67(5), 455–463 (2009)
5. Brown, R., Pham, B., Maeder, A.: Visual importance-biased image synthesis animation. In: Proceedings of the 1st International Conference on Computer Graphics and Interactive Techniques, New York, pp. 63–70 (2003)
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