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Record W2933015069

CONVERGENT VALIDITY AND STABILITY OF A 5-MINUTE WEB CAMERA-BASED EYE-TRACKING COGNITIVE ASSESSMENT

2018· article· en· W2933015069 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueTopSCHOLAR (Western Kentucky University) · 2018
Typearticle
Languageen
FieldEngineering
TopicRobotics and Automated Systems
Canadian institutionsnot available
Fundersnot available
KeywordsEye trackingComputer visionArtificial intelligenceCognitionComputer scienceStability (learning theory)Tracking (education)PsychologyCognitive psychologyMachine learning
DOInot available

Abstract

fetched live from OpenAlex

Joshua Gills1, Spencer Smith1, Emily Bates1, Jordan M. Glenn2, Erica N. Madero2, Nick T. Bott2, & Michelle Gray1 1University of Arkansas, Fayetteville, AR., 2Neurotrack Technologies, Inc., Redwood City, CA. As populations age worldwide, dementia prevalence is projected to triple from current rates to 132 million by 2050. While there is no cure for Alzheimer’s disease (AD) or other forms of dementia, early detection of symptoms allow treatment to start earlier and improve outcomes. Currently, there exists a noninvasive validated 30-minute (min) eye-tracking cognitive assessment for predicting AD risk. However, the time requirements and passive nature of the paradigm creates a burden for the user. A shorter task utilizing an active paradigm would improve user experience and increase scalability of the test. PURPOSE: The purposes of this study were to 1) determine convergent validity of an active 5-min web camera-based eye-tracking task to measure visual recognition memory compared to the validated passive 30-min task and 2) determine the stability and test-retest reliability of the 5-min test. METHODS: This prospective study included 44 cognitively intact participants (n = 28 females, n = 16 males; age = 50.0 ± 27.6) who were divided into two cohorts: older adults (ages 65+ years, n = 20) and young adults (ages 18 – 46 years, n = 24). Participants reported for testing on two separate occasions. The first visit included informed consent, medical history questionnaire, Montreal Cognitive Assessment (MOCA), 30-min eye tracking test, and 5-min eye tracking test. The second testing session occurred at least 14 days later and participants were given an alternate form of the 5-min eye tracking test to minimize learning effects. RESULTS: Participants were cognitively normal based on MOCA scores (27.9 ± 1.4). A Pearson’s correlation determined the 30-min task was moderately correlated with the 5 min task at the first (r =.55; p < .001) and second (r =.58; p = .001) time points. Moreover, there was a high test re-test reliability of the 5-min test (r =.73; p < .001). CONCLUSION: The active 5-min eye-tracking assessment displayed moderate convergent validity to the passive 30-min test for assessing working memory and demonstrated strong test-retest reliability. Initial data indicate the 5-min version of the eye-tracking task may be a more scalable alternative to the original 30-min version. However further research is needed to ultimately substantiate this claim. ACKNOWLEDGEMENTS: This study was funded by Neurotrack Technologies and The University of Arkansas’ Department of Health, Human Performance, and Recreation.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.318
Threshold uncertainty score0.880

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.030
GPT teacher head0.258
Teacher spread0.228 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it