“Twhirleds”: Spun and whirled affordances controlling multimodal mobile-ambient environments with reality distortion and synchronized lighting to preserve intuitive alignment
Bibliographic record
Abstract
The popularity of the contemporary smartphone makes it an attractive platform for new applications. We are exploring the potential of such personal devices to control networked displays. In particular, we have developed a system that can sense mobile phone orientation to support two kinds of juggling-like play styles: padiddle and poi. Padiddling is spinning a flattish object (such as a tablet or board-mounted smartphone) on the tip of one’s finger. Poi involves whirling a weight (in this case the smartphone itself) at the end of a tether. Orientation of a twirled device can be metered, and with a communications infrastructure, this streamed azimuthal data can be used to modulate various distributed, synchronous, multimodal displays, including panoramic and photospherical imagery, diffusion of pantophonic and periphonic auditory soundscapes, and mixed virtuality scenes featuring avatars and props animated by real-world twirling. The unique nature of the twirling styles allows interestingly fluid perspective shifts, including orbiting “inspection gesture” virtual cameras with self-conscious ambidextrous avatars and “reality distortion” fields with perturbed affordance projection.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".