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Breaking Down Barriers to Learning with Stereoscopic 3D Technology: Comparison of Google Cardboard, Red‐Cyan Anaglyphs & Glasses‐Free 3D

2020· article· en· W3016408644 on OpenAlexaff
Josh Mitchell, Anthony N. Saraco, Alexander K. Ball, Bruce Wainman

Bibliographic record

VenueThe FASEB Journal · 2020
Typearticle
Languageen
FieldEngineering
TopicAnatomy and Medical Technology
Canadian institutionsMcMaster University
Fundersnot available
KeywordsCyanStereoscopyComputer scienceMultimediaComputer graphics (images)Artificial intelligenceVisual artsArt

Abstract

fetched live from OpenAlex

INTRODUCTION We previously developed a free‐to‐download 3D virtual reality (VR) anatomical quiz app (VRBR https://play.google.com/store/apps/details?id=ca.MacAnatomy.VRBR2 ) and provided it to 850 undergraduate anatomy and physiology students in Sept 2018, along with the required Google Cardboard headsets. The app utilized Google Cardboard to allow for an inexpensive VR viewing experience of digitally‐pinned side‐by‐side (SBS) stereo pairs from David L. Bassett’s A Stereoscopic Atlas of Human Anatomy . Survey data was collected to determine how students used this new technology as a self‐test in their learning. Students expressed multiple barriers to using the app, including: the quiz questions were separate from the 3D images (31%), the app was too large (20%), students felt nauseated (19%), or the app was incompatible with their smartphone (8%). These issues led to much lower student usage than expected. Bottom line: it doesn’t matter how effective a new technology may be for learning, if students won’t use it in the first place. The PURPOSE of our study was to evaluate if student usage increases when barriers to use are removed by using alternate 3D viewing formats. We chose to compare red‐cyan anaglyphs to SBS stereo pairs because anaglyphs could address several of the concerns expressed by students. METHODS Digitally labeled anaglyphs were hosted on the learning management system (LMS) used by the university. Student usage of the anaglyphs was tracked over the first semester of the 2019–20 year and compared to the usage of the SBS stereo pairs over the first semester of the 2018–19 year. Student usage was determined from the number of quiz submissions on the university’s LMS at 3 time points during the term. Statistical analysis was performed with Graphpad Prism. RESULTS Between the start of term and the start of the midterm recess (5 wks) the anaglyph study aid increased usage by 82% over the prior year using SBS stereo pairs. Prior to the practice practical exam at midterm, the anaglyph study aid usage was 138% greater than SBS stereo pairs. The average number of quiz submissions per week using the anaglyphs vs SBS stereo pairs increased by 135% (n=3, one‐tailed student t‐test, p<0.02). CONCLUSION Our results demonstrate that red‐cyan anaglyphs are more readily used by students to view 3D images in a self‐study application compared to SBS stereo pairs on Google Cardboard. This suggests that students are more willing to utilize a new technology when the barriers to use are minimized. Although the use of anaglyphs increased the number of quiz submissions, the red‐cyan format distorts colors, introducing a new barrier to use. It is likely that a 3D format that also removes this new barrier would increase the use of the study aid even further. We plan to test this hypothesis by comparing anaglyphs to images presented on a glasses‐free 3D display (Alioscopy http://www.alioscopy.com/en/3Ddisplays.php ). Qualitative data on the ease of use as well as quantitative data on quiz performance will be compared.

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.

How this classification was reachedexpand

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.544
Threshold uncertainty score0.473

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.013
GPT teacher head0.242
Teacher spread0.229 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations1
Published2020
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