title: Perceptual attraction in tool use: evidence for a reliability-based weighting mechanism.
abstract: Humans are well able to operate tools whereby their hand movement is linked, via a kinematic transformation, to a spatially distant object moving in a separate plane of motion. An everyday example is controlling a cursor on a computer monitor. Despite these separate reference frames, the perceived positions of the hand and the object were found to be biased toward each other. We propose that this perceptual attraction is based on the principles by which the brain integrates redundant sensory information of single objects or events, known as optimal multisensory integration. That is,1) sensory information about the hand and the tool are weighted according to their relative reliability (i.e., inverse variances), and2) the unisensory reliabilities sum up in the integrated estimate. We assessed whether perceptual attraction is consistent with optimal multisensory integration model predictions. We used a cursor-control tool-use task in which we manipulated the relative reliability of the unisensory hand and cursor position estimates. The perceptual biases shifted according to these relative reliabilities, with an additional bias due to contextual factors that were present inexperiment 1but not inexperiment 2The biased position judgments' variances were, however, systematically larger than the predicted optimal variances. Our findings suggest that the perceptual attraction in tool use results from a reliability-based weighting mechanism similar to optimal multisensory integration, but that certain boundary conditions for optimality might not be satisfied.NEW & NOTEWORTHYKinematic tool use is associated with a perceptual attraction between the spatially separated hand and the effective part of the tool. We provide a formal account for this phenomenon, thereby showing that the process behind it is similar to optimal integration of sensory information relating to single objects.
authors.affiliation: Department of Cognitive Neuroscience, Universität Bielefeld, Bielefeld, Germany; nienke.debats@uni-bielefeld.de.|Cognitive Interaction Technology Center of Excellence, Universität Bielefeld, Bielefeld, Germany; and.
authors.forename: Nienke B
authors.initials: NB
authors.lastname: Debats
authors.affiliation: Department of Cognitive Neuroscience, Universität Bielefeld, Bielefeld, Germany.|Cognitive Interaction Technology Center of Excellence, Universität Bielefeld, Bielefeld, Germany; and.
authors.forename: Marc O
authors.initials: MO
authors.lastname: Ernst
authors.affiliation: Department of Cognitive Neuroscience, Universität Bielefeld, Bielefeld, Germany.|Leibniz Research Centre for Working Environment and Human Factors, Dortmund, Germany.
authors.forename: Herbert
authors.initials: H
authors.lastname: Heuer
mesh_terms: D000293:Adolescent; D000328:Adult; D000704:Analysis of Variance; D001499:Bayes Theorem; D005260:Female; D007839:Functional Laterality / Q000502:physiology*; D006225:Hand / Q000502:physiology; D006801:Humans; D007600:Judgment / Q000502:physiology; D008297:Male; D009068:Movement / Q000502:physiology*; D010775:Photic Stimulation; D011434:Proprioception / Q000502:physiology*; D011597:Psychomotor Performance / Q000502:physiology*; D015203:Reproducibility of Results; D014796:Visual Perception / Q000502:physiology*; D055815:Young Adult
keywords: Bayesian integration; agency; visual-proprioceptive integration