Rushton, Simon
(2017).
Peripheral visual cues contribute to the perception of object movement during self-movement.
[Data Collection]. Colchester, Essex:
UK Data Archive.
10.5255/UKDA-SN-852880
A long-standing question is how the brain transforms the light patterns impinging onto the retina into a meaningful world of objects and animates with which the observer can interact. While enormous progress has been made in the understanding of brain functions during the last few decades, the fundamental principles underlying the processing and extraction of visual information remain elusive. This project builds on the observation that perception has been traditionally studied in a passive manner, paying relatively little attention to the observer's motor activity during the acquisition of visual information. Yet, like other species, humans are not passively exposed to the incoming flow of sensory data. Instead, they actively seek useful information by coordinating sensory processing with motor activity. Our motivating hypothesis is that self-movement is a critical component of visual perception. Considered as a problem of simple visual geometry this hypothesis might appear counter-intuitive. Considered as an image-processing problem it might appear counter-intuitive. Considered against decades of work concerned with how the brain "compensates" for self-movement it might also appear counter-intuitive. However, this hypothesis is fully plausible from a biological perspective, because more information about the scene is available when the observer moves. This was pointed out many years ago by ecological psychologists and has more recently been recognised in computer vision - where it has caused a paradigm change. We argue that the visual, motor, and proprioceptive information generated by self-movement is fundamental to visual processing
The project brings together three laboratories from The Netherlands (Dr. Brenner at VU University in Amsterdam), the US (Dr. Rucci at Boston University), and the UK (Dr Rushton at Cardiff University), which have developed critical expertise on the analyses of different types of motor activities in humans. We will systematically investigate the mechanisms by which human observers use motor, proprioceptive and global optic flow signals to accomplish visual tasks. Elucidating the perceptual impact of motor activity is critical to advancing our knowledge of how the visual system functions. Such knowledge can also potentially guide the design of objects and environments, inform the building of machines capable of replicating human visual functions, and it may provide a scientific basis for the development of treatments of visual impairments commonly associated with abnormal motor activity in pathological conditions.
Data description (abstract)
Safe movement through the environment requires us to monitor our surroundings for moving objects or people. However, identification of moving objects in the scene is complicated by self- movement, which adds motion across the retina. To identify world-relative object movement, the brain thus has to ‘compensate for’ or ‘parse out’ the components of retinal motion that are due to self-movement. We have previously demonstrated that retinal cues arising from central vision contribute to solving this problem. Here, we investigate the contribution of peripheral vision, commonly thought to provide strong cues to self-movement (for the publication, see Related Resources). Stationary participants viewed a large field of view display, with radial flow patterns presented in the periphery, and judged the trajectory of a centrally presented probe. Across two experiments, we demonstrate and quantify the contribution of peripheral optic flow to flow parsing during forward and backward movement.
The archived data is described in Rogers, C., Rushton, S.K. & Warren, P.A. (2017). Peripheral visual cues contribute to the perception of object movement during self-movement
iPerception, volume 8, issue 6 (see Related Resources for weblink).
Data creators: |
Creator Name |
Affiliation |
ORCID (as URL) |
Rushton Simon |
Cardiff University |
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Sponsors: |
Economic and Social Research Council
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Grant reference: |
ES/M00001X/1
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Topic classification: |
Psychology
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Keywords: |
psychophysics, flow parsing, optic flow, peripheral cues
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Project title: |
Moving to see: The benefits of self-motion for visual perception
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Grant holders: |
Simon K. Rushton
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Project dates: |
From | To |
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1 August 2014 | 31 October 2017 |
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Date published: |
31 Oct 2017 10:59
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Last modified: |
20 Nov 2017 10:21
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Collection period: |
Date from: | Date to: |
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1 August 2014 | 31 October 2017 |
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Geographical area: |
Cardiff |
Country: |
United Kingdom |
Spatial unit: |
No Spatial Unit |
Data collection method: |
The methodology was psychophysics (method of constant stimuli). Participants made 2 alternative forced choice (2AFC) judgements after watching a briefly presented stimulus. Each participant made 180 judgements over the course of approximately 45mins. The sample of participants consisted of undergraduate (18-21 yrs) and postgraduate (22-26 yrs) students, predominantly female, from the School of Psychology, Cardiff University. All were unaware of the experimental hypotheses, unless otherwise indicated. The participants were recruited by opportunity sampling. |
Observation unit: |
Individual |
Kind of data: |
Numeric |
Type of data: |
Experimental data
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Resource language: |
English |
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Data sourcing, processing and preparation: |
The code was not written for sharing, it is not fully documented, we cannot support it, and it has only been tested within the range of parameters used in our experiments and on our specific system. Therefore we have not made the code generally available to facilitate reuse. Please note, the code is available for inspection at any time. For immediate access to the archived code please send an email to rushtonsk@cardiff.ac.uk
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Rights owners: |
Name |
Affiliation |
ORCID (as URL) |
Rushton Simon |
Cardiff University |
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Contact: |
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Notes on access: |
The Data Collection is available to any user without the requirement for registration for download/access.
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Publisher: |
UK Data Archive
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Last modified: |
20 Nov 2017 10:21
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Available Files
Data and documentation bundle
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