A model for social spatial behavior in virtual characters
Why this work is in the frame
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Bibliographic record
Abstract
ABSTRACT Plausible spatial behavior is a key capability that autonomous virtual characters need in order to provide ecologically valid social interactions. However, there is a lack of psychological data on spatial behavior in the larger scale social settings and over extended periods of time. In this paper, we present a social navigation model that aims at generating human‐like spatial behavior for a virtual human in a social setting with group dynamics. We employ an engineering approach by defining a dynamic representation of interest and then using it as the psychometric function that regulates the behavior of the agent. We evaluate our model by means of two test cases that address different aspect of the model and serve as a proof of concept. Our work is a step toward models for generating more plausible social spatial behavior for virtual characters that is based on both internal dynamics and attributes of the social environment. Copyright © 2014 John Wiley & Sons, Ltd.
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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) | 0.000 | 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 it