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Automated Task-Time Interventions to Improve Teamwork using Imitation Learning
To improve teamwork in these and other domains, we present TIC: an automated intervention approach for improving coordination between team members.
Semi-Supervised Imitation Learning of Team Policies from Suboptimal Demonstrations
In contrast to existing multi-agent imitation learning techniques, BTIL explicitly models and infers the time-varying mental states of team members, thereby enabling learning of decentralized team policies from demonstrations of suboptimal teamwork.
Towards an AI Coach to Infer Team Mental Model Alignment in Healthcare
Shared mental models are critical to team success; however, in practice, team members may have misaligned models due to a variety of factors.
VOTE400(Voide Of The Elderly 400 Hours): A Speech Dataset to Study Voice Interface for Elderly-Care
This paper introduces a large-scale Korean speech dataset, called VOTE400, that can be used for analyzing and recognizing voices of the elderly people.
