title: The fate of task-irrelevant visual motion: perceptual load versus feature-based attention.
abstract: We tested contrasting predictions derived from perceptual load theory and from recent feature-based selection accounts. Observers viewed moving, colored stimuli and performed low or high load tasks associated with one stimulus feature, either color or motion. The resultant motion aftereffect (MAE) was used to evaluate attentional allocation. We found that task-irrelevant visual features received less attention than co-localized task-relevant features of the same objects. Moreover, when color and motion features were co-localized yet perceived to belong to two distinct surfaces, feature-based selection was further increased at the expense of object-based co-selection. Load theory predicts that the MAE for task-irrelevant motion would be reduced with a higher load color task. However, this was not seen for co-localized features; perceptual load only modulated the MAE for task-irrelevant motion when this was spatially separated from the attended color location. Our results suggest that perceptual load effects are mediated by spatial selection and do not generalize to the feature domain. Feature-based selection operates to suppress processing of task-irrelevant, co-localized features, irrespective of perceptual load.
authors.affiliation: School of Psychology, University of Southampton, Southampton, UK. s.taya@surrey.ac.uk
authors.forename: Shuichiro
authors.initials: S
authors.lastname: Taya
authors.forename: Wendy J
authors.initials: WJ
authors.lastname: Adams
authors.forename: Erich W
authors.initials: EW
authors.lastname: Graf
authors.forename: Nilli
authors.initials: N
authors.lastname: Lavie
mesh_terms: D000222:Adaptation, Physiological; D001288:Attention; D003116:Color; D003118:Color Perception; D005366:Figural Aftereffect; D006801:Humans; D009038:Motion; D009039:Motion Perception; D009903:Optical Illusions; D010775:Photic Stimulation; D011601:Psychophysics; D013028:Space Perception; D013647:Task Performance and Analysis