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Visual tests, touch responses: Computer-based neuropsychological tools.

Alexander B Chervinsky1, William B Barr1, Scott R Millis2

  • 1Department of Neurology, NYU Langone Health, New York University Grossman School of Medicine, New York, NY, USA.

The Clinical Neuropsychologist
|September 11, 2024
PubMed
Summary
This summary is machine-generated.

New computer tests for visual abilities are reliable and effective, performing similarly to traditional paper-and-pencil tests in distinguishing between individuals with and without cerebral neurological impairment (CNI). These digital assessments are well-received by participants.

Keywords:
computer cognitive testingdigital neuropsychological testingdiverse sampletouch responsesvisual tests

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Area of Science:

  • Neuroscience and Cognitive Psychology
  • Human-Computer Interaction
  • Psychometrics

Background:

  • Traditional paper-and-pencil (P&P) tests for visual abilities are widely used but may lack modern interactive features.
  • Cerebral neurological impairment (CNI) affects visual processing, necessitating accurate and reliable assessment tools.
  • Developing digital alternatives to P&P tests can offer enhanced user experience and data capture.

Purpose of the Study:

  • To evaluate the reliability and validity of three novel computer-based tests of visual abilities.
  • To compare the performance of these computer tests against traditional P&P measures in individuals with and without CNI.
  • To assess user attitudes towards computer-based cognitive testing.

Main Methods:

  • 115 participants (73 non-White, 84 female, mean age 45.5) completed new computer tests (Presidents, Railroad, Swamp) and standard neuropsychological measures.
  • Tests were designed with audio instructions, touch responses, and videography; performance validity tests (PVTs) were used for exclusion criteria.
  • Factor analyses and correlations were used to examine test structure, reliability, and relationships with cognitive domains and academic achievement.

Main Results:

  • The computer tests demonstrated adequate reliability and functioned as designed, aligning with visual knowledge, perception, attention, and recognition.
  • Computer and traditional tests showed similar ability to discriminate between CNI and Non-CNI groups.
  • Positive attitudes toward computer testing were reported, as measured by the Testing Experience Questionnaire (TEQ).

Conclusions:

  • The new computer tests are reliable, valid measures of visual cognitive domains.
  • These digital tools effectively differentiate between CNI and Non-CNI groups, comparable to traditional methods.
  • Computer-based cognitive assessments are favorably received by users, suggesting potential for wider adoption.