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

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

<p>Predicting the vergence stability hypothesis (H3): reducing the maximal model to the fitted model.</p>

Na minha lista:

Detalhes bibliográficos
Autor principal:	Mohammed Safayet Arefin (22683505) (author)
Outros Autores:	John Edward Swan II (22683508) (author), Russell Cohen Hoffing (22683511) (author), Steven M. Thurman (8611647) (author)
Publicado em:	2025
Assuntos:	Neuroscience Physiology Pharmacology Sociology Mental Health Biological Sciences not elsewhere classified xlink "> recently three different environments significant main effect repeated measures design consistent individual differences veridical depth estimate including augmented reality eye vergence angle previously fixated targets virtual target objects target depth virtual reality fixated objects virtual objects vergence changes eye fixations starting depth participants fixated extended reality virtual world varying distances results showed natural settings convergence vs closer targets changes constantly 13 participants
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!

Registos relacionados

Predicting the eye vergence angle by end depth (Hypothesis H1) and environment (Hypothesis H2): reduction of the maximal model to the fitted model.
Por: Mohammed Safayet Arefin (22683505)
Publicado em: (2025)

Analysis of Eq 3: the fitted model testing vergence stability (Hypothesis H3).
Por: Mohammed Safayet Arefin (22683505)
Publicado em: (2025)

The vergence stability hypothesis (H3), tested with Eq 3:
Por: Mohammed Safayet Arefin (22683505)
Publicado em: (2025)

Predicting the natural log ratio of XR target depth over real target depth (Hypothesis H4): reducing the maximal model to the fitted model.
Por: Mohammed Safayet Arefin (22683505)
Publicado em: (2025)

Eye Vergence Angle (EVA) calculation and an example of unprocessed eye tracking data.
Por: Mohammed Safayet Arefin (22683505)
Publicado em: (2025)

The geometry of the Eye Vergence Angle (EVA) while fixating on a near and far target.
Por: Mohammed Safayet Arefin (22683505)
Publicado em: (2025)

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

The experiment placed targets at 4 different depths, resulting in 12 different vergence eye movements. Measurements are expressed in meters (m) and diopters (D).
Por: Mohammed Safayet Arefin (22683505)
Publicado em: (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 .
Por: Mohammed Safayet Arefin (22683505)
Publicado em: (2025)

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).
Por: Mohammed Safayet Arefin (22683505)
Publicado em: (2025)

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

Correlation between subjective depth (D) and normalized EVA (degrees).
Por: Mohammed Safayet Arefin (22683505)
Publicado em: (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).
Por: Mohammed Safayet Arefin (22683505)
Publicado em: (2025)

A zoomed-in view of participant 11 from Fig 11.
Por: Mohammed Safayet Arefin (22683505)
Publicado em: (2025)

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

The EVA as predicted by eye movement end depth and participant (data from Fig 4b).
Por: Mohammed Safayet Arefin (22683505)
Publicado em: (2025)

(a) The visual stimulus was a Landolt C resolving to a fixation cross, resulting in a four-alternative forced choice visual discrimination task.
Por: Mohammed Safayet Arefin (22683505)
Publicado em: (2025)

A path analysis model of the relationship between various scenario elements and traffic scenarios.
Por: Chengmin Zhou (14554562)
Publicado em: (2025)

Mean (SDs) of take-over reaction times according to scene complexity and type of autonomous driving information display.
Por: Chengmin Zhou (14554562)
Publicado em: (2025)

Point in time of the first visible deviation from the trail in each scenario.
Por: Chengmin Zhou (14554562)
Publicado em: (2025)

Mean (SD) of fixation duration, fixation counts, and SAGAT accuracy according to scene complexity and autonomous driving information display type.
Por: Chengmin Zhou (14554562)
Publicado em: (2025)

SAGAT Assessment Sample Questions.
Por: Chengmin Zhou (14554562)
Publicado em: (2025)

3x3 Latin square design.
Por: Chengmin Zhou (14554562)
Publicado em: (2025)

Conditional autonomous driving scenario complexity factor perceptual weights.
Por: Chengmin Zhou (14554562)
Publicado em: (2025)

The mean and standard error of take-over reaction time for type A, type B, and type C autonomous driving information display types under various scenario complexities.
Por: Chengmin Zhou (14554562)
Publicado em: (2025)

The mean and standard error of SAGAT accuracy for type A, type B, and type C autonomous driving information display types under various scenario complexities.
Por: Chengmin Zhou (14554562)
Publicado em: (2025)

The mean and standard error of fixation counts for type A, type B, and type C autonomous driving information display types under various scenario complexities.
Por: Chengmin Zhou (14554562)
Publicado em: (2025)

The mean and standard error of fixation duration for type A, type B, and type C autonomous driving information display types under various scenario complexities.
Por: Chengmin Zhou (14554562)
Publicado em: (2025)

Experimental flow.
Por: Chengmin Zhou (14554562)
Publicado em: (2025)

Experiment setting.
Por: Chengmin Zhou (14554562)
Publicado em: (2025)

Schematic flow chart of driving take-over reaction experiment.
Por: Chengmin Zhou (14554562)
Publicado em: (2025)

Example of Group C scene material.
Por: Chengmin Zhou (14554562)
Publicado em: (2025)

Three accident scenarios: a) forward vehicle collision; b) The sudden cut-in of lateral vehicles ahead; c) adjacent vehicle occupies the lane.
Por: Chengmin Zhou (14554562)
Publicado em: (2025)

Conditional autonomous driving scenario complexity hierarchy.
Por: Chengmin Zhou (14554562)
Publicado em: (2025)

Displays types of autonomous driving information: a) P3D display on the W-HUD; b) SR display on the W-HUD; c) display on the AR-HUD.
Por: Chengmin Zhou (14554562)
Publicado em: (2025)

Three display types of autonomous driving information on the HUD in the Chinese vehicle market.
Por: Chengmin Zhou (14554562)
Publicado em: (2025)

Supplementary raw data file of eye-tracking experiment for subjects.
Por: Chengmin Zhou (14554562)
Publicado em: (2025)

Insights from Project INSPIRER: Options for Public Participation Using VR and AR – and a Plea for Standards
Por: Christoph Runde (8751096)
Publicado em: (2025)

insights from project INSPIRER (participation in urban planning processes in virtual and real spaces). Options for public participation in public construction projects using virtual reality and augmented reality
Por: Christoph Runde (8751096)
Publicado em: (2025)

Supplementary file 1_A multidisciplinary approach to understanding the technology, opportunities, challenges, and implications for society of the metaverse.pdf
Por: Mel Slater (42837)
Publicado em: (2025)