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Information
Special Issues
Information-Centred Approaches to Visual Perception
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Information-Centred Approaches to Visual Perception

A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information Processes".

Deadline for manuscript submissions: closed (31 October 2019) | Viewed by 8481

Special Issue Editor

Prof. Dr. Birgitta Dresp-Langley

E-Mail Website
Guest Editor
Centre National de la Recherche Scientifique (CNRS), ICube Lab UMR 7357 CNRS, Université de Strasbourg, F-67081 Strasbourg, France
Interests: cognitive neuroscience; brain; cognitive psychology; behavior; perceptual learning and memory; neural networks; consciousness; philosophy of artificial intelligence; principles of unsupervised learning; computing and philosophy
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Visual perception is the result of a complex chain of information processing carried out by biological systems, such as the visual brains of primates and other species, or by artificial systems, such as computer-driven neural networks or robots. The goal of this Special Issue on 'Information-Centred Approaches to Visual Perception' is to reveal the variety of distinct functional properties and mechanisms of information processing for visual perception. These can be biologically inspired or not and may highlight how the processing of light, colour, structure, texture, or shape is achieved by a living or an artificial perceptual system within a given context.

Dr. Birgitta Dresp-Langley
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Information is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • visual information
  • perception
  • biological vision
  • human
  • machine vision
  • robots

Published Papers (2 papers)

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Research

11 pages, 2006 KiB  
Article
Combining Visual Contrast Information with Sound Can Produce Faster Decisions
by Birgitta Dresp-Langley and Marie Monfouga
Information 2019, 10(11), 346; https://doi.org/10.3390/info10110346 - 07 Nov 2019
Cited by 5 | Viewed by 2816
Abstract
Pieron’s and Chocholle’s seminal psychophysical work predicts that human response time to information relative to visual contrast and/or sound frequency decreases when contrast intensity or sound frequency increases. The goal of this study is to bring to the forefront the ability of individuals [...] Read more.
Pieron’s and Chocholle’s seminal psychophysical work predicts that human response time to information relative to visual contrast and/or sound frequency decreases when contrast intensity or sound frequency increases. The goal of this study is to bring to the forefront the ability of individuals to use visual contrast intensity and sound frequency in combination for faster perceptual decisions of relative depth (“nearer”) in planar (2D) object configurations based on physical variations in luminance contrast. Computer controlled images with two abstract patterns of varying contrast intensity, one on the left and one on the right, preceded or not by a pure tone of varying frequency, were shown to healthy young humans in controlled experimental sequences. Their task (two-alternative, forced-choice) was to decide as quickly as possible which of two patterns, the left or the right one, in a given image appeared to “stand out as if it were nearer” in terms of apparent (subjective) visual depth. The results showed that the combinations of varying relative visual contrast with sounds of varying frequency exploited here produced an additive effect on choice response times in terms of facilitation, where a stronger visual contrast combined with a higher sound frequency produced shorter forced-choice response times. This new effect is predicted by audio-visual probability summation. Full article
(This article belongs to the Special Issue Information-Centred Approaches to Visual Perception)
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9 pages, 384 KiB  
Article
Attention and Signal Detection
by Adam Reeves
Information 2019, 10(8), 254; https://doi.org/10.3390/info10080254 - 07 Aug 2019
Cited by 1 | Viewed by 5136
Abstract
In this paper, I first review signal detection theory (SDT) approaches to perception, and then discuss why it is thought that SDT theory implies that increasing attention improves performance. Our experiments have shown, however, that this is not necessarily true. Subjects had either [...] Read more.
In this paper, I first review signal detection theory (SDT) approaches to perception, and then discuss why it is thought that SDT theory implies that increasing attention improves performance. Our experiments have shown, however, that this is not necessarily true. Subjects had either focused attention on two of four possible locations in the visual field, or diffused attention to all four locations. The stimuli (offset letters), locations, conditions, and tasks were all known in advance, responses were forced-choice, subjects were properly instructed and motivated, and instructions were always valid—conditions which should optimize signal detection. Relative to diffusing attention, focusing attention indeed benefitted discrimination of forward from backward pointing Es. However, focusing made it harder to identify a randomly chosen one of 20 letters. That focusing can either aid or disrupt performance, even when cues are valid and conditions are idealized, is surprising, but it can also be explained by SDT, as shown here. These results warn the experimental researcher not to confuse focusing attention with enhancing performance, and warn the modeler not to assume that SDT is unequivocal. Full article
(This article belongs to the Special Issue Information-Centred Approaches to Visual Perception)
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