Name
Title | ||
|---|---|---|
OPTIMo: Online Probabilistic Trust Inference Model for Asymmetric Human-Robot Collaborations |
Abstract | ||
|---|---|---|
We present OPTIMo: an Online Probabilistic Trust Inference Model for quantifying the degree of trust that a human supervisor has in an autonomous robot \"worker\". Represented as a Dynamic Bayesian Network, OPTIMo infers beliefs over the human's moment-to-moment latent trust states, based on the history of observed interaction experiences. A separate model instance is trained on each user's experiences, leading to an interpretable and personalized characterization of that operator's behaviors and attitudes. Using datasets collected from an interaction study with a large group of roboticists, we empirically assess OPTIMo's performance under a broad range of configurations. These evaluation results highlight OPTIMo's advances in both prediction accuracy and responsiveness over several existing trust models. This accurate and near real-time human-robot trust measure makes possible the development of autonomous robots that can adapt their behaviors dynamically, to actively seek greater trust and greater efficiency within future human-robot collaborations. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1145/2696454.2696492 | HRI |
Keywords | Field | DocType |
dynamic bayesian network,software psychology,trust | Supervisor,Task analysis,Computer science,Inference,Artificial intelligence,Probabilistic logic,Autonomous robot,Robot,Machine learning,Human–robot interaction,Dynamic Bayesian network | Conference |
ISSN | ISBN | Citations |
2167-2121 | 978-1-4503-2882-1 | 16 |
PageRank | References | Authors |
0.87 | 7 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Anqi Xu | 1 | 106 | 9.33 |
| Gregory Dudek | 2 | 2163 | 255.48 |