Effective human-human and human-autonomy teamwork is critical but often challenging to perfect. The challenge is particularly relevant in time-critical domains, such as healthcare and disaster response, where the time pressures can make coordination increasingly difficult to achieve and the consequences of imperfect coordination can be severe. To improve teamwork in these and other domains, we present TIC: an automated intervention approach for improving coordination between team members. Using BTIL, a multi-agent imitation learning algorithm, our approach first learns a generative model of team behavior from past task execution data. Next, it utilizes the learned generative model and team's task objective (shared reward) to algorithmically generate execution-time interventions. We evaluate our approach in synthetic multi-agent teaming scenarios, where team members make decentralized decisions without full observability of the environment. The experiments demonstrate that the automated interventions can successfully improve team performance and shed light on the design of autonomous agents for improving teamwork.
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Designing Future Disaster Response Team Wearables from a Grounding in Practice
Wearable computers are poised to impact disaster response, so there is a need to determine the best interfaces to support situation awareness, decision support, and communication. We present a disaster response wearable design created for a mixed reality live-action role playing design competition, the Icehouse Challenge. The challenge, an independent event in which the authors were competitors, offers a simulation game environment in which teams compete to test wearable designs. In this game, players move through a simulated disaster space that requires team coordination and physical exertion to mitigate virtual hazards and stabilize virtual victims. Our design was grounded in disaster response and team coordination practice. We present our design process to develop wearable computer interfaces that integrate physiological and virtual environmental sensor data and display actionable information through a head-mounted display. We reflect on our observations from the live game, discuss challenges, opportunities, and design implications for future disaster response wearables to support collaboration.
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- NSF-PAR ID:
- 10061229
- Date Published:
- Journal Name:
- Proceedings of the Technology, Mind, and Society
- Page Range / eLocation ID:
- 1 to 6
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
-
Accepted Manuscript1.0
- Conference Paper:
- https://doi.org/10.1145/3183654.3183662
