Influence of Operator Expertise on Robot Supervision and Intervention
Fuente:
arXiv
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866912838163890176 |
|---|---|
| author | Jiang, Yanran Sikka, Pavan Tian, Leimin Kuliic, Dana Paris, Cecile |
| author_facet | Jiang, Yanran Sikka, Pavan Tian, Leimin Kuliic, Dana Paris, Cecile |
| contents | With increasing levels of robot autonomy, robots are increasingly being supervised by users with varying levels of robotics expertise. As the diversity of the user population increases, it is important to understand how users with different expertise levels approach the supervision task and how this impacts performance of the human-robot team. This exploratory study investigates how operators with varying expertise levels perceive information and make intervention decisions when supervising a remote robot. We conducted a user study (N=27) where participants supervised a robot autonomously exploring four unknown tunnel environments in a simulator, and provided waypoints to intervene when they believed the robot had encountered difficulties. By analyzing the interaction data and questionnaire responses, we identify differing patterns in intervention timing and decision-making strategies across novice, intermediate, and expert users. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2601_15069 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Influence of Operator Expertise on Robot Supervision and Intervention Jiang, Yanran Sikka, Pavan Tian, Leimin Kuliic, Dana Paris, Cecile Robotics With increasing levels of robot autonomy, robots are increasingly being supervised by users with varying levels of robotics expertise. As the diversity of the user population increases, it is important to understand how users with different expertise levels approach the supervision task and how this impacts performance of the human-robot team. This exploratory study investigates how operators with varying expertise levels perceive information and make intervention decisions when supervising a remote robot. We conducted a user study (N=27) where participants supervised a robot autonomously exploring four unknown tunnel environments in a simulator, and provided waypoints to intervene when they believed the robot had encountered difficulties. By analyzing the interaction data and questionnaire responses, we identify differing patterns in intervention timing and decision-making strategies across novice, intermediate, and expert users. |
| title | Influence of Operator Expertise on Robot Supervision and Intervention |
| topic | Robotics |
| url | https://arxiv.org/abs/2601.15069 |