Fostering the AR illusion: a study of how people interact with a shared artifact in collocated augmented reality
Bibliographic record
Abstract
Augmented Reality (AR) is a technology that overlays virtual objects on a physical environment. The illusion afforded by AR is that these virtual artifacts can be treated like physical ones, allowing people to view them from different perspectives and point at them knowing that others see them in the same place. Despite extensive research in AR, there has been surprisingly little research into how people embrace this AR illusion, and in what ways the illusion breaks down. In this paper, we report the results of an exploratory, mixed methods study with six pairs of participants playing the novel Sightline AR game. The study showed that participants changed physical position and pose to view virtual artifacts from different perspectives and engaged in conversations around the artifacts. Being able to see the real environment allowed participants to maintain awareness of other participants’ actions and locus of attention. Players largely entered the illusion of interacting with a shared physical/virtual artifact, but some interactions broke the illusion, such as pointing into space. Some participants reported fatigue around holding their tablet devices and taking on uncomfortable poses.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".