Abstract
Classically, visual attention is assumed to be influenced by visual properties of objects, e.g. as assessed in visual search tasks. However, recent experimental evidence suggests that visual attention is also guided by action-related properties of objects (“affordances”,[1,2]), e.g. the handle of a cup affords grasping the cup; therefore attention is drawn towards the handle (see [3] for example). In a first step towards modelling this interaction between attention and action, we implemented the Selective Attention for Action model (SAAM). The design of SAAM is based on the Selective Attention for Identification model (SAIM [4]). For instance, we also followed a soft-constraint satisfaction approach in a connectionist framework. However, SAAM’s selection process is guided by locations within objects suitable for grasping them whereas SAIM selects objects based on their visual properties. In order to implement SAAM’s selection mechanism two sets of constraints were implemented. The first set of constraints took into account the anatomy of the hand, e.g. maximal possible distances between fingers. The second set of constraints (geometrical constraints) considered suitable contact points on objects by using simple edge detectors. At first, we demonstrate here that SAAM can successfully mimic human behaviour by comparing simulated contact points with experimental data. Secondly, we show that SAAM simulates affordance-guided attentional behaviour as it successfully generates contact points for only one object in two-object images.
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References
Gibson, J.J.: The senses considered as perceptual systems. Houghton-Mifflin, Boston (1966)
Gibson, J.J.: The ecological approach to visual perception. Houghton-Mifflin, Boston (1979)
di Pellegrino, G., Rafal, R., Tipper, S.P.: Implicitly evoked actions modulate visual selection: evidence from parietal extinction. Current Biology 15(16), 1469–1472 (2005)
Heinke, D., Humphreys, G.W.: Attention, spatial representation and visual neglect: Simulating emergent attention and spatial memory in the selective attention for identication model (SAIM). Psychological Review 110(1), 29–87 (2003)
Grafton, S.T., Fadiga, L., Arbib, M.A., Rizzolatti, G.: Premotor cortex activation during observation and naming of familiar tools. NeuroImage 6(4), 231–236 (1997)
Grèzes, J., Decety, J.: Does visual perception of objects afford action? evidence from a neuroimaging study. Neuropsychologia 40(2), 212–222 (2002)
Tucker, M., Ellis, R.: On the relations between seen objects and components of potential actions. Journal of Experimental Psychology 24(3), 830–846 (1998)
Phillips, J.C., Ward, R.: S–r correspondence effects of irrelevant visual affordance: Time course and specificity of response activation. Visual Cognition 9(4–5), 540–558 (2002)
Borghi, A.M., Bonfiglioli, C., Lugli, L., Ricciardelli, P., Rubichi, S., Nicoletti, R.: Are visual stimuli sufficient to evoke motor information? studies with hand primes. Neuroscience Letters 411(1), 17–21 (2007)
Handy, T.C., Grafton, S.T., Shroff, N.M., Ketay, S., Gazzaniga, M.S.: Graspable objects grab attention when the potential for action is recognized. Nature Neuroscience 6(4), 421–427 (2003)
Hopfield, J.J., Tank, D.W.: “neural” computation of decisions in optimization problems. Biological Cybernetics 52(3), 141–152 (1985)
Gonzalez, R.C., Woods, R.E.: Digital Image Processing. Addison-Wesley, Reading (1993)
Hopfield, J.J.: Neural networks and physical systems with emergent collective computational abilities. Proceedings of the National Academy of Sciences, vol. 79, pp. 2554–2558 (1982)
Mjolsness, E., Garrett, C.: Algebraic transformations of objective functions. Neural Networks 3(6), 651–669 (1990)
Hindmarsh, A.C., Brown, P.N., Grant, K.E., Lee, S.N., Serban, R., Shumaker, D.E., Woodward, C.S.: Sundials: Suite of nonlinear and differential/algebraic equation solvers. ACM Transactions on Mathematical Software 31(3), 363–396 (2005); also available as LLNL technical report UCRL-JP-200037
Carey, D.P., Harvey, M., Milner, A.D.: Visuomotor sensitivity for shape and orientation in a patient with visual form agnosia. Neuropsychologia 34(5), 329–337 (1996)
Mason, M.T.: Mechanics of Robotic Manipulation. Intelligent Robots and Autonomous Agents. MIT Press, Cambridge (2001)
Humphreys, G.W., Riddoch, M.J.: From vision to action and action to vision: a convergent route approach to vision, action, and attention. Psychology of learning and motivation 42, 225–264 (2003)
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Böhme, C., Heinke, D. (2009). Where Do We Grasp Objects? – An Experimental Verification of the Selective Attention for Action Model (SAAM). In: Paletta, L., Tsotsos, J.K. (eds) Attention in Cognitive Systems. WAPCV 2008. Lecture Notes in Computer Science(), vol 5395. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00582-4_4
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DOI: https://doi.org/10.1007/978-3-642-00582-4_4
Publisher Name: Springer, Berlin, Heidelberg
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