Abstract
Understanding visuomotor coordination requires the study of tasks that engage mechanisms for the integration of visual and motor information; in this paper we choose a paradigmatic yet little studied example of such a task, namely realistic drawing. On the one hand, our data indicate that the motor task has little influence on which regions of the image are overall most likely to be fixated: salient features are fixated most often. Viceversa, the effect of motor constraints is revealed in the temporal aspect of the scanpaths: (1) subjects direct their gaze to an object mostly when they are acting upon (drawing) it; and (2) in support of graphically continuous hand movements, scanpaths resemble edge-following patterns along image contours. For a better understanding of such properties, a computational model is proposed in the form of a novel kind of Dynamic Bayesian Network, and simulation results are compared with human eye-hand data.
Original language | English (US) |
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Pages (from-to) | 810-818 |
Number of pages | 9 |
Journal | Vision Research |
Volume | 49 |
Issue number | 8 |
DOIs | |
State | Published - May 4 2009 |
Keywords
- Bayesian
- Drawing
- Visuomotor
ASJC Scopus subject areas
- Ophthalmology
- Sensory Systems