Exploring the affect of abstract motion in social human-robot interaction
Why this work is in the frame
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Bibliographic record
Abstract
We present our exploration of the emotional impact that abstract robot motion has on human-robot interaction (HRI). We argue for the importance of designing for the fundamental characteristics of physical robot motion as distinct from designing the robot's visual appearance or functional context. We discuss our design approach, the creation of an abstract robotic motion platform that is nearly formless and affordance-less, and our evaluation of the affect abstract motion had on more than thirty participants which interacted with our robotic platform in a series of studies. We detail our results and explain how different styles of robot motion were mapped to emotional responses in human observers. We believe that our findings can inform and provide important insight into the purposeful use of motion as a design tool in social human-robot interaction.
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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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 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 it