Cited by 15Neuroscience and Neural EngineeringTactile and Sensory InteractionsVisual perception and processing mechanisms

Testing vision is not testing for vision

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Peli, Eli·2020·Translational Vision Science & Technology

Abstract

Visual prostheses aim to restore, at least to some extent, vision that leads to the type of perception available for sighted patients. Their effectiveness is almost always evaluated using clinical tests of vision. Clinical vision tests are designed to measure the limits of parameters of a functioning visual system. I argue here that these tests are rarely suited to determine the ability of prosthetic devices and other therapies to restore vision. This paper describes and explains many limitations of these evaluations. Prosthetic vision testing often makes use of multiple-alternative forced-choice (MAFC) procedures. Although these paradigms are suitable for many studies, they are frequently problematic in vision restoration evaluation. Two main types of problems are identified: (1) where nuisance variables provide spurious cues that can be learned in repeated training, which is common in prosthetic vision, and thus defeat the purpose of the test; and (2) even though a test is properly designed and performed, it may not actually measure what the researchers believe, and thus the interpretation of results is wrong. Examples for both types of problems are presented. Additional problems arise from confounding factors in the administration of tests are pointed as limitations of current device evaluation. For example, head tracing of magnified objects enlarged to compensate for the system's low resolution, in distinction from the scanning head (camera) movements with which users of prosthetic devices expand the limited field of view. Because of these problems, the ability to perform satisfactorily on the clinical tests is necessary but insufficient to prove vision restoration, therefore, additional tests are needed. I propose some directions to pursue in such testing. Translational Relevance: Numerous prosthetic devices are being developed and introduced to the market. Proving the utility of these devices is crucial for regulatory and even for post market acceptance, which so far has largely failed, in my opinion. Potential reasons for the failures despite success in regulatory testing and directions for designing improved testing are provided. It is hoped that improved testing will guide improved designs of future prosthetic systems and other vision restoration approaches.

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  • Because of the multi-alternative forced choice (MAFC) paradigm, clinical and psychophysics vision tests may not measure what researchers intended, either because nuisance variables may provide spurious cues that can be learned in repeated training or because the tests can be passed without form vision.

    “The main reason for this is the nature of the multi-alternative forced choice (MAFC) paradigm that is typically used to administer these tests. As such, they may not measure what the researchers intended, either because nuisance variables may provide spurious cues that can be learned in repeated training or because the tests can be passed without form vision (Peli, 2020).”

    From Towards a <i>Smart Bionic Eye</i> : AI-powered artificial vision for the treatment of incurable blindness (2022) · cites this paper as Peli, 2020

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  • Vision tests typically used in clinics and psychophysics laboratories are not designed to test the ability of prosthetic devices to restore vision.

    “Another concern is that the vision tests typically used in clinics and psychophysics laboratories (e.g., perimetry, acuity, contrast sensitivity, orientation discrimination) are not designed to test the ability of prosthetic devices to restore vision (Peli, 2020).”

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Research works printed but not linked: 1

  1. [39]Stingl K. How a subject perceived his wife's face. 2013 Available at https://www.youtube.com/watch?v=40JbGXTbSOQ. Accessed April 8, 2020. This research was published in the journal Proceedings Biological Sciences, in the paper ‘Artificial vision with wirelessly powered subretinal electronic implant alpha-IMS’ by Stingl et al. The DOI link for the article is: 10.1098/rspb.2013.0077. PMC3619489 23427175 · DOI · Paper page

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Authors
Peli, E.
Affiliations
Schepens Eye Research Institute of Mass Eye & Ear, Department of Ophthalmology, Harvard Medical School, Boston, MA, USA
Venue
Translational Vision Science & Technology
Published
2020-12-18
Volume
9
Issue
13
Pages
32
ISSN
2164-2591 (ISSN-L)
OpenAlex
W3117015481
Cited by
14
References
41
Citations by year
2026: 3 · 2025: 1 · 2024: 2 · 2023: 2 · 2022: 5 · 2021: 1
FWCI
0.92
Type
journal article
Language
en
Open access
Locations
  • Translational Vision Science & Technology (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
Funders
National Eye Institute (P30EY003790)
Topics
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Tactile and Sensory Interactions
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
Keywords
retinal prosthesis, vision restoration, nuisance parameters, confounding factors, device evaluation, regulatory testing, test validity
MeSH terms
Humans, Movement, Vision, Ocular, Vision Tests, Visual Prosthesis

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