Abstract
This research aims to study trust in Human-Autonomy Teaming (HAT). A multiple regression model was employed to explore potential predictors in tasks that might dynamically influence trust levels. By computing entropy across different system layers of a remotely piloted aerial vehicle system, we measured the influence of these dynamic predictors on trust. The findings suggest the presence of potential trust predictors in human-autonomy interactions as measured using entropy. Some layers had to be combined due to high multicollinearity, addressed through Principal Component Analysis (PCA). Further research is required for a more in-depth understanding of these components and their implications for trust dynamics.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 1496-1500 |
| Number of pages | 5 |
| Journal | Proceedings of the Human Factors and Ergonomics Society |
| Volume | 68 |
| Issue number | 1 |
| DOIs | |
| State | Published - 2024 |
| Event | 68th International Annual Meeting of the Human Factors and Ergonomics Society, HFES 2024 - Phoenix, United States Duration: Sep 9 2024 → Sep 13 2024 |
Keywords
- dynamical measurements
- human-ai teaming
- team cognition
- team coordination
ASJC Scopus subject areas
- Human Factors and Ergonomics