Joint Decision-Making in Robot Teleoperation: When are Two Heads Better Than One?
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arXiv
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| Main Authors: | , , , , , |
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| Format: | Preprint |
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2025
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| _version_ | 1866916657805393920 |
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| author | Nguyen, Duc-An Bhattacharyya, Raunak Colombatto, Clara Fleming, Steve Posner, Ingmar Hawes, Nick |
| author_facet | Nguyen, Duc-An Bhattacharyya, Raunak Colombatto, Clara Fleming, Steve Posner, Ingmar Hawes, Nick |
| contents | Operators working with robots in safety-critical domains have to make decisions under uncertainty, which remains a challenging problem for a single human operator. An open question is whether two human operators can make better decisions jointly, as compared to a single operator alone. While prior work has shown that two heads are better than one, such studies have been mostly limited to static and passive tasks. We investigate joint decision-making in a dynamic task involving humans teleoperating robots. We conduct a human-subject experiment with $N=100$ participants where each participant performed a navigation task with two mobiles robots in simulation. We find that joint decision-making through confidence sharing improves dyad performance beyond the better-performing individual (p<0.0001). Further, we find that the extent of this benefit is regulated both by the skill level of each individual, as well as how well-calibrated their confidence estimates are. Finally, we present findings on characterising the human-human dyad's confidence calibration based on the individuals constituting the dyad. Our findings demonstrate for the first time that two heads are better than one, even on a spatiotemporal task which includes active operator control of robots. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2503_15510 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Joint Decision-Making in Robot Teleoperation: When are Two Heads Better Than One? Nguyen, Duc-An Bhattacharyya, Raunak Colombatto, Clara Fleming, Steve Posner, Ingmar Hawes, Nick Human-Computer Interaction Robotics I.2.9 Operators working with robots in safety-critical domains have to make decisions under uncertainty, which remains a challenging problem for a single human operator. An open question is whether two human operators can make better decisions jointly, as compared to a single operator alone. While prior work has shown that two heads are better than one, such studies have been mostly limited to static and passive tasks. We investigate joint decision-making in a dynamic task involving humans teleoperating robots. We conduct a human-subject experiment with $N=100$ participants where each participant performed a navigation task with two mobiles robots in simulation. We find that joint decision-making through confidence sharing improves dyad performance beyond the better-performing individual (p<0.0001). Further, we find that the extent of this benefit is regulated both by the skill level of each individual, as well as how well-calibrated their confidence estimates are. Finally, we present findings on characterising the human-human dyad's confidence calibration based on the individuals constituting the dyad. Our findings demonstrate for the first time that two heads are better than one, even on a spatiotemporal task which includes active operator control of robots. |
| title | Joint Decision-Making in Robot Teleoperation: When are Two Heads Better Than One? |
| topic | Human-Computer Interaction Robotics I.2.9 |
| url | https://arxiv.org/abs/2503.15510 |