Welcome to the InfoSci Platform
Reference Hub1
Influence of Movement Expertise on Visual Perception of Objects, Events and Motor Action: A Modeling Approach

Influence of Movement Expertise on Visual Perception of Objects, Events and Motor Action: A Modeling Approach

Kai Essig, Oleg Strogan, Helge Ritter, Thomas Schack
Copyright: © 2013 |Pages: 30
ISBN13: 9781466625396|ISBN10: 1466625392|EISBN13: 9781466625402
DOI: 10.4018/978-1-4666-2539-6.ch001
Cite Chapter Cite Chapter

MLA

Essig, Kai, et al. "Influence of Movement Expertise on Visual Perception of Objects, Events and Motor Action: A Modeling Approach." Developing and Applying Biologically-Inspired Vision Systems: Interdisciplinary Concepts, edited by Marc Pomplun and Junichi Suzuki, IGI Global, 2013, pp. 1-30. https://doi.org/10.4018/978-1-4666-2539-6.ch001

APA

Essig, K., Strogan, O., Ritter, H., & Schack, T. (2013). Influence of Movement Expertise on Visual Perception of Objects, Events and Motor Action: A Modeling Approach. In M. Pomplun & J. Suzuki (Eds.), Developing and Applying Biologically-Inspired Vision Systems: Interdisciplinary Concepts (pp. 1-30). IGI Global. https://doi.org/10.4018/978-1-4666-2539-6.ch001

Chicago

Essig, Kai, et al. "Influence of Movement Expertise on Visual Perception of Objects, Events and Motor Action: A Modeling Approach." In Developing and Applying Biologically-Inspired Vision Systems: Interdisciplinary Concepts, edited by Marc Pomplun and Junichi Suzuki, 1-30. Hershey, PA: IGI Global, 2013. https://doi.org/10.4018/978-1-4666-2539-6.ch001

Export Reference

Mendeley
Favorite

Abstract

Various computational models of visual attention rely on the extraction of salient points or proto-objects, i.e., discrete units of attention, computed from bottom-up image features. In recent years, different solutions integrating top-down mechanisms were implemented, as research has shown that although eye movements initially are solely influenced by bottom-up information, after some time goal driven (high-level) processes dominate the guidance of visual attention towards regions of interest (Hwang, Higgins & Pomplun, 2009). However, even these improved modeling approaches are unlikely to generalize to a broader range of application contexts, because basic principles of visual attention, such as cognitive control, learning and expertise, have thus far not sufficiently been taken into account (Tatler, Hayhoe, Land & Ballard, 2011). In some recent work, the authors showed the functional role and representational nature of long-term memory structures for human perceptual skills and motor control. Based on these findings, the chapter extends a widely applied saliency-based model of visual attention (Walther & Koch, 2006) in two ways: first, it computes the saliency map using the cognitive visual attention approach (CVA) that shows a correspondence between regions of high saliency values and regions of visual interest indicated by participants’ eye movements (Oyekoya & Stentiford, 2004). Second, it adds an expertise-based component (Schack, 2012) to represent the influence of the quality of mental representation structures in long-term memory (LTM) and the roles of learning on the visual perception of objects, events, and motor actions.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.