SYMBIONT: Designing Bioinspired Objects for Tactile Interpersonal Communication
Bibliographic record
Abstract
The use of nonverbal mediums such as haptics offers new ways of interacting in a world dominated by verbal communication. In order to facilitate affective tactile interpersonal communication in shared spaces or across distances, SYMBIONT is designed as a pair of bioinspired soft robotic objects. SYMBIONT integrates Biomorphic aesthetics and Biomimetic behavior through Iterative Prototyping, Annotated Portfolio, and Research through Design. By using SYMBIONTs, users can communicate through nuanced interactions enabled by bend and pressure sensors paired with vibrating, curling actuators. SYMBIONT aims to utilize tactile mediums to address geographical, social, and communication barriers, improving a sense of presence. Attendees will be invited to engage with SYMBIONT's mediated tactile experience and reflect on its emotional and sensory aspects. This paper outlines the iterative prototyping process, the system's design, aesthetics, fabrication and interaction logic.
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| 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".