Enhancing Perceived Empathy in Empathic Mixed Reality Agents via Context-Aware Adaptation
Why this work is in the frame
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Bibliographic record
Abstract
Mixed Reality Agents (MiRAs) have been extensively studied to enhance virtual-physical interactions, using their ability to exist in both virtual and physical environments. However, little research has focused on enhancing perceived empathy in MiRAs, despite its potential for agent-assisted therapy, education, and training. To fill this gap, we investigate the impact of an Empathic Mixed Reality agent (EMiRA) that adapts to users' physiological states and physical events in a shooting game. We found that this adaptation enhanced users' social perceptions of the agent, including social presence, social connectedness, and perceived empathy. Physiological adaptation increased paternalism and reduced user dominance, while physical adaptation had no such effect. We discuss these findings and provide design implications for future EMiRAs.
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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 | 0.001 | 0.001 |
| 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