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What fixations reveal about oculomotor scanning behavior in visual search

Published online by Cambridge University Press:  24 May 2017

Zhuanghua Shi ,
Xuelian Zang  and
Thomas Geyer
Zhuanghua Shi
Affiliation:
General and Experimental Psychology, Department of Psychology, LMU Munich, 80802 Munich, Germany. strongway@psy.lmu.degeyer@psy.lmu.de
Xuelian Zang
Affiliation:
General and Experimental Psychology, Department of Psychology, LMU Munich, 80802 Munich, Germany. strongway@psy.lmu.degeyer@psy.lmu.de China Centre for Special Economic Zone Research, Shenzhen University, Guangdong Sheng 518060, China. zangxuelian@gmail.com
Thomas Geyer
Affiliation:
General and Experimental Psychology, Department of Psychology, LMU Munich, 80802 Munich, Germany. strongway@psy.lmu.degeyer@psy.lmu.de
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Abstract

Hulleman & Olivers' (H&O's) conceptual framework does not consider variation of fixation duration and its interaction with the size of the functional viewing field (FVF). Here we provide empirical evidence of a dynamic interaction between the two parameters, suggesting that fixations, as the central unit in H&O's framework, should be studied on both the spatial and temporal dimensions.

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 40 , 2017 , e155
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Copyright
Copyright © Cambridge University Press 2017 

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References

Findlay, J. M. & Walker, R. (1999) A model of saccade generation based on parallel processing and competitive inhibition. Behavioral and Brain Sciences 22(04):661–74.CrossRefGoogle Scholar
Geyer, T., Von Mühlenen, A. & Müller, H. J. (2007) What do eye movements reveal about the role of memory in visual search? Quarterly Journal of Experimental Psychology 60(7):924–35.CrossRefGoogle ScholarPubMed
Hooge, I. T. C. & Erkelens, C. J. (1998) Adjustment of fixation duration in visual search. Vision Research 38(9):1295–302. doi: 10.1016/S0042-6989(97)00287-3.Google Scholar
Moffitt, K. (1980) Evaluation of the fixation duration in visual search. Perception and Psychophysics 27(4):370–72. doi: 10.3758/BF03206127.Google Scholar
Nuthmann, A., Smith, T. J., Engbert, R. & Henderson, J. M. (2010) CRISP: A computational model of fixation durations in scene viewing. Psychological Review 117(2):382–405. doi: 10.1037/a0018924.Google Scholar
Pomplun, M., Garaas, T. W. & Carrasco, M. (2013) The effects of task difficulty on visual search strategy in virtual 3D displays. Journal of Vision 13(2013):1–22. doi: 10.1167/13.3.24.doi.Google Scholar
Unema, P. J. a., Pannasch, S., Joos, M. & Velichkovsky, B. M. (2005) Time course of information processing during scene perception: The relationship between saccade amplitude and fixation duration. Visual Cognition 12(3):473–94. doi: 10.1080/13506280444000409.Google Scholar
van Asselen, M., Sampaio, J., Pina, A. & Castelo-Branco, M. (2011) Object based implicit contextual learning: A study of eye movements. Attention, Perception, and Psychophysics 73(2):297–302. doi: 10.3758/s13414-010-0047-9.Google Scholar
Zang, X., Jia, L., Müller, H. J. & Shi, Z. (2015) Invariant spatial context is learned but not retrieved in gaze-contingent limited-viewing search. Journal of Experimental Psychology: Learning, Memory, and Cognition 41(3):807–19. doi: 10.1037/xlm0000060.Google Scholar
Zou, H., Müller, H. J. & Shi, Z. (2012) Non-spatial sounds regulate eye movements and enhance visual search. Journal of Vision 12(5):2, 1–18. doi: 10.1167/12.5.2.Google Scholar