Attention, Perception, & Psychophysics
Time for Action: Reaching for a better understanding of the dynamics of cognition
A Special Issue of Attention, Perception, & Psychophysics
Submission deadline: Nov 15, 2018
Guest Editors: Joo-Hyun Song, Brown University, and Tim Welsh, University of Toronto
The overarching goal of this special issue is to provide a dedicated space for empirical and review papers that advance the understanding of how cognition and action systems are integrated and operate synergistically. This knowledge of how humans efficiently interact and navigate in complex environments is vital for generating a comprehensive understanding of human behavior and will help shape the design of everyday objects and training and working environments.
It is evident that the products of our cognitive processes are expressed through our actions. Historically, the transformation of sensory inputs into action has been treated as a set of relatively unidirectional processing events with the results of low-level sensory and earlier perceptual processes informing higher-order cognitive processes until a decision is made to respond, at which point the action system receives its instructions. Given this compartmentalized approach, it may not be too surprising that there has been relatively little interaction between researchers in cognitive and motor domains. Thus, until recently, a deeper understanding of human behavior has been hindered because little attention has been paid to the broader context of action and how action processes are embedded in the larger canvas of visual attention, memory, learning, decision-making and interpersonal interaction.
We seek contributions from researchers across multiple areas, including but not limited to, psychology, neuroscience, kinesiology, and human-computer interactions, to share and critically evaluate their cutting-edge theoretical, empirical, and translational developments. Submissions could be in the format of empirical pieces reporting new results from original research, targeted reviews, or interesting viewpoints. The special issue will have a broad scope encompassing experimental, theoretical, computational, and clinical studies, as well as methodological approaches. Authors who are interested in submitting a review or viewpoint paper are highly recommend to submit a pre-submission inquiry of approximately 1 page to the guest editors by August 1, 2018. If you have any question about a possible submission, please contact one of the guest editors.
All submissions will undergo normal, full peer review, maintaining the same high editorial standards for regular submissions to Attention, Perception, & Psychophysics. Manuscripts should include a cover letter indicating that the submission is for the special issue, “Time for Action: Reaching for a better understanding of the dynamics of cognition”.
Because this is a journal special issue, not an edited book, the deadline is firm; our intention is to publish the special issue 6-8 months after the submission deadline. Revisions invited by the guest editors will be expected within two months of receipt of the editorial decision letter and reviews.
The journal Attention, Perception, & Psychophysics is an official journal of the Psychonomic Society. It spans all areas of research in sensory processes, perception, attention, and psychophysics. Most articles published are reports of experimental work; the journal also presents theoretical, integrative, and evaluative reviews. Founded in 1966 as Perception & Psychophysics, the journal assumed its present name in 2009.
The journal also encourages studies with a neuroscientific perspective that enhance our understanding of attention, perception, and psychophysics.
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Attention Perception & Psychophysics , a journal of The Psychonomic Society, is committed to upholding principles of integrity in scientific publishing and practice. As a member of the Committee on Publication Ethics (COPE), the journal will follow COPE guidelines concerning procedures for handling potential acts of professional misconduct.
Algorithm for improving psychophysical threshold estimates by detecting sustained inattention in experiments using PEST
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