Virtual Reality Education and Acceptance Protocol.

Virtual Reality Education and Acceptance Protocol.

<p>Virtual Reality Education and Acceptance Protocol.</p>

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Bibliografiset tiedot
Päätekijä:	Jarad A. Lewellen (21213269) (author)
Muut tekijät:	Cami A. Barnes (22683562) (author), Aidan Forget (22683565) (author), Jeanette M. Garcia (22683568) (author), D. Jake Follmer (6679418) (author), Guy Hornsby (22683571) (author), Hannah L. Silva-Breen (22683574) (author), Peter R. Giacobbi Jr. (22683577) (author)
Julkaistu:	2025
Aiheet:	Biotechnology Sociology Science Policy Biological Sciences not elsewhere classified exit interviews provided technology acceptance model methods feasibility trial feasibility among baseball vreap among baseball div >< p virtual reality education virtual reality promote acceptance acceptance protocol vreap based vreap ), training tool train skills study ’ statistical analyses softball players show promise perceived usefulness participants (< participant experiences n </ multiple domains low awareness injury rehabilitation includes stages guiding framework findings demonstrate critical need avrts ), adoption include
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Samankaltaisia teoksia

Feasibility areas of focus, questions, outcomes, and measures.
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CONSORT flow diagram for single-arm trials.
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Table 1_Challenges of assessing acceptability in the context of cancer screening: a behavioral science perspective.docx
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Correlation between subjective depth (D) and normalized EVA (degrees).
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The experiment placed targets at 4 different depths, resulting in 12 different vergence eye movements. Measurements are expressed in meters (m) and diopters (D).
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Analysis of Eq 4: the fitted model testing whether subjective depth judgments would be underestimated, and that EVA would provide a more veridical depth estimate than subjective depth judgments (Hypothesis H4).
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Julkaistu: (2025)

Predicting the natural log ratio of XR target depth over real target depth (Hypothesis H4): reducing the maximal model to the fitted model.
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Julkaistu: (2025)

The natural log ratio of Real target depth over XR target depth, plotted as points against the eye movement end depth, environment (AR, VR), and measure (EVA, Subjective Depth).
Tekijä: Mohammed Safayet Arefin (22683505)
Julkaistu: (2025)

Analysis of Eq 3: the fitted model testing vergence stability (Hypothesis H3).
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A zoomed-in view of participant 11 from Fig 11.
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The vergence stability hypothesis (H3), tested with Eq 3:
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Julkaistu: (2025)

Predicting the vergence stability hypothesis (H3): reducing the maximal model to the fitted model.
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Julkaistu: (2025)

A zoomed-in view of participant 11 from Fig 8.
Tekijä: Mohammed Safayet Arefin (22683505)
Julkaistu: (2025)

The EVA as predicted Eq 2, the linear mixed effects model.
Tekijä: Mohammed Safayet Arefin (22683505)
Julkaistu: (2025)

Analysis of Eq 2, the fitted model testing the effect of end depth (Hypothesis H1) and environment (Hypothesis H2) on EVA.
Tekijä: Mohammed Safayet Arefin (22683505)
Julkaistu: (2025)

Predicting the eye vergence angle by end depth (Hypothesis H1) and environment (Hypothesis H2): reduction of the maximal model to the fitted model.
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Julkaistu: (2025)

The EVA as predicted by eye movement end depth and participant (data from Fig 4b).
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Julkaistu: (2025)

The Eye Vergence Angle (EVA) as predicted by (a) environment and eye movement end depth in meters, and (b) as predicted by eye movement end depth in .
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Eye Vergence Angle (EVA) calculation and an example of unprocessed eye tracking data.
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(a) The visual stimulus was a Landolt C resolving to a fixation cross, resulting in a four-alternative forced choice visual discrimination task.
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The geometry of the Eye Vergence Angle (EVA) while fixating on a near and far target.
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Predictors of Technology-facilitated sexual violence myth acceptance.
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Framework for the acceptability of technological health innovations [25].
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Comparative matrix: summary of Ag-RDT acceptability across countries.
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Image 2_Modulation of VR-HMD-induced cybersickness using cathodal transcranial direct current stimulation: a functional near-infrared spectroscopy study.jpeg
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Image 1_Modulation of VR-HMD-induced cybersickness using cathodal transcranial direct current stimulation: a functional near-infrared spectroscopy study.jpeg
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Overall acceptability of the MNH-EPI-COS.
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Acceptability for the inclusion of outcomes and definitions and feasibility of data collection for each outcome.
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Attributes of interviews (N = 228).
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Anticipated barriers to MNH-EPI-COS adoption in observational research studies and surveillance in the context of epidemics.
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Characteristics of participants.
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Database and Dictionary.
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Fleshed Networks: Exhibition Documentation (2025), WebXR Experience on the STYLY Platform for <i>Constellations</i>, ISEA (International Symposium of Electronic Art), Brisbane 2024
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Figure 1 -SB Participants’ feedback
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A 3D Model of the Pillar Tomb at Kua Ruins
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