Incidental Processing of Biological Motion

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Incidental Processing of Biological Motion Ian M Thornton, Quoc C Vuong  Current Biology  Volume 14, Issue 12, Pages 1084-1089 (June 2004) DOI: 10.1016/j.cub.2004.06.025

Figure 1 Overview of Stimuli and Design In all experiments we used a standard algorithm to generate synthetic point-light figures [39]. Each figure consisted of 11 dots (0.2°), drawn in black on a gray background, and subtended 3.8° in height (head to ankle) and 1.2° in width (at the most extended point of the step cycle). The figures were drawn in profile, facing left or right relative to the observer, and animated with a simulated natural walking speed of 38 strides per minute [40]. The figures were slightly smaller in Experiment 2 and scaled at different eccentricities [25]. The step-cycle of each flanking figure was randomized with respect to each other and the target. In the linear configuration (Panel A), flanking figures appeared directly to the right and left of the target, with adjacent figures 2.4° apart (hip to hip). The example shows a Congruent (top) and Incongruent (bottom) trial with a right facing target. In the clockface configuration (Panel B), four equally spaced windows (4.3° in height x 2.8° in width) were organized around a circle with a radius of 4.3°. The angular offset of the flanker positions around the circle was randomly assigned on each trial. These windows either contained a single coherent figure (shown here) or the local motion of five scrambled point-light figures. The solid circular line has been added for illustration purposes only. Dynamic versions of these figures can be found in the supplementary material. Current Biology 2004 14, 1084-1089DOI: (10.1016/j.cub.2004.06.025)

Figure 2 The Walker Congruency Effect In Experiment 1, both congruent and incongruent flankers led to increased response times relative to the target-only condition. The conflict between the direction of the target and the direction of the flankers also led to an additional increase in response times, a pattern we have called the walker congruency effect. In this and all figures, error bars indicate one standard error of the mean. Current Biology 2004 14, 1084-1089DOI: (10.1016/j.cub.2004.06.025)

Figure 3 Dynamic Not Static WCE across the Visual Field Response times for dynamic (A) and static (B) flankers from Experiment 2. Panel C illustrates the significant flanker type x congruency interaction. Solid lines/bars represent congruent responses, dashed lines/open bars represent incongruent responses. Panel D summarizes the WCE (incongruent RT – congruent RT) computed separately for each observer. The solid black line represents dynamic flankers, and the solid gray line represents the static flankers. See main text for more details. Current Biology 2004 14, 1084-1089DOI: (10.1016/j.cub.2004.06.025)

Figure 4 Global Not Local Conflict In Experiment 3 a WCE was only obtained when flanking figures had a global, coherent structure and movement that conflicted with that of the target. Local, scrambled motion did not lead to a slowing of response times. Current Biology 2004 14, 1084-1089DOI: (10.1016/j.cub.2004.06.025)

Figure 5 The WCE Is Interference Rather Than Facilitation In Experiment 4, all flankers led to an increase in response times relative to the target-only condition. As in Experiment 2 the cost of the conflict between the direction of the target and flankers also led to an additional increase in response times. As there was no benefit for congruent trials, compared to the neutral, chimeric trials, it appears that the WCE is primarily a form of interference. Current Biology 2004 14, 1084-1089DOI: (10.1016/j.cub.2004.06.025)