Measuring State Utilization During Decision Making in Human-Robot Teams

Author:

Singh Saurav1ORCID,Heard Jamison1ORCID

Affiliation:

1. Rochester Institute of Technology, Rochester, New York, USA

Publisher

ACM

Reference22 articles.

1. Achim Buerkle, Harveen Matharu, Ali Al-Yacoub, Niels Lohse, Thomas Bamber, and Pedro Ferreira. 2022. An adaptive human sensor framework for human--robot collaboration. The International Journal of Advanced Manufacturing Technology (2022), 1--16.

2. Micah Carroll, Rohin Shah, Mark K Ho, Tom Griffiths, Sanjit Seshia, Pieter Abbeel, and Anca Dragan. 2019. On the utility of learning about humans for human-ai coordination. Advances in neural information processing systems, Vol. 32 (2019).

3. J. R. Comstock and R. J. Arnegard. 1992. The Multi-Attribute Task Battery for operator workload and strategic behavior research. Technical Report NASA Tech. Memorandum 104174. NASA Langley Research Center.

4. Understanding human-robot teams in light of all-human teams: Aspects of team interaction and shared cognition

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