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Vision
Special Issues
Cybervision: Investigating Vision and Visual Cognition through Web-Based Studies
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Cybervision: Investigating Vision and Visual Cognition through Web-Based Studies

A special issue of Vision (ISSN 2411-5150).

Deadline for manuscript submissions: closed (31 March 2023) | Viewed by 2741

Special Issue Editor

Prof. Dr. Daniel T. Smith

E-Mail Website
Guest Editor
Department of Psychology, Durham University, Science Site, South Road, Durham DH1 3LE, UK
Interests: attention; eye-movements; neuropsychology; short-term memory; progressive supranuclear palsy; spatial cognition; exogenous attention; hemianopia

Special Issue Information

Dear Colleagues,

The last couple of years have seen a remarkable development in the use of online research in vision science, accelerated by the challenges of the coronavirus pandemic. This move to internet-mediated science presents a number of challenges to scientists who are used to exerting a high degree of control in the lab. It also presents great opportunities in terms of the size and diversity of samples. This Special Issue will bring together web-based studies of vision and visual cognition. We hope to better understand how scholars have adapted to this new paradigm, and what successes (and failures!) there have been in translating research from the lab to the virtual world. We also encourage authors to submit work reporting new empirical, methodological, and theoretical developments that have resulted from web-based studies.

We invite submissions from the area of vision science and visual cognition from web-based experiments, including submissions that provide guidance to other scholars regarding best practices for conducting reliable and valid studies via the internet.

Prof. Dr. Daniel T. Smith
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. Vision is an international peer-reviewed open access quarterly 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

  • internet
  • visual cognition
  • perception
  • online
  • visual
  • attention
  • vision science
  • web

Published Papers (1 paper)

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Research

15 pages, 2044 KiB  
Article
Deficits in Face Recognition and Consequent Quality-of-Life Factors in Individuals with Cerebral Visual Impairment
by Corinna M. Bauer, Claire E. Manley, John Ravenscroft, Howard Cabral, Daniel D. Dilks and Peter J. Bex
Vision 2023, 7(1), 9; https://doi.org/10.3390/vision7010009 - 25 Jan 2023
Cited by 6 | Viewed by 1861
Abstract
Individuals with cerebral visual impairment (CVI) frequently report challenges with face recognition, and subsequent difficulties with social interactions. However, there is limited empirical evidence supporting poor face recognition in individuals with CVI and the potential impact on social–emotional quality-of-life factors. Moreover, it is [...] Read more.
Individuals with cerebral visual impairment (CVI) frequently report challenges with face recognition, and subsequent difficulties with social interactions. However, there is limited empirical evidence supporting poor face recognition in individuals with CVI and the potential impact on social–emotional quality-of-life factors. Moreover, it is unclear whether any difficulties with face recognition represent a broader ventral stream dysfunction. In this web-based study, data from a face recognition task, a glass pattern detection task, and the Strengths and Difficulties Questionnaire (SDQ) were analyzed from 16 participants with CVI and 25 controls. In addition, participants completed a subset of questions from the CVI Inventory to provide a self-report of potential areas of visual perception that participants found challenging. The results demonstrate a significant impairment in the performance of a face recognition task in participants with CVI compared to controls, which was not observed for the glass pattern task. Specifically, we observed a significant increase in threshold, reduction in the proportion correct, and an increase in response time for the faces, but not for the glass pattern task. Participants with CVI also reported a significant increase in sub-scores of the SDQ for emotional problems and internalizing scores after adjusting for the potential confounding effects of age. Finally, individuals with CVI also reported a greater number of difficulties on items from the CVI Inventory, specifically the five questions and those related to face and object recognition. Together, these results indicate that individuals with CVI may demonstrate significant difficulties with face recognition, which may be linked to quality-of-life factors. This evidence suggests that targeted evaluations of face recognition are warranted in all individuals with CVI, regardless of their age. Full article
(This article belongs to the Special Issue Cybervision: Investigating Vision and Visual Cognition through Web-Based Studies)
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