Remote research methods for Human–AI–Robot Teaming-Reference-Cited by-同舟云学术

Remote research methods for Human–AI–Robot Teaming

Published:2021-08-03 Issue:1 Volume:32 Page:133-150
ISSN:1090-8471
Container-title:Human Factors and Ergonomics in Manufacturing & Service Industries
language:en
Short-container-title:Hum Factors Ergon Manuf

Author:

Lematta Glenn J.¹^ORCID,Corral Christopher C.¹,Buchanan Verica¹,Johnson Craig J.¹,Mudigonda Anagha¹,Scholcover Federico¹,Wong Margaret E.¹,Ezenyilimba Akuadasuo¹,Baeriswyl Manuel¹,Kim Jimin¹,Holder Eric²,Chiou Erin K.¹,Cooke Nancy J.¹^ORCID

Affiliation:

1. Center for Human–AI–Robot Teaming Arizona State University Mesa Arizona USA

2. U.S. Army CCDC Army Research Laboratory Sierra Vista Arizona USA

Funder

Army Research Laboratory

Air Force Office of Scientific Research

Defense Advanced Research Projects Agency

Publisher

Wiley

Subject

Industrial and Manufacturing Engineering,Human Factors and Ergonomics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/hfm.20929

Reference49 articles.

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2. Baltrusaitis T. Zadeh A. Lim Y. C.&Morency L. P.(2018). OpenFace 2.0: Facial behavior analysis toolkit. In 2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018) (pp.59‐66). IEEE.

3. The mixed-initiative experimental testbed for collaborative human robot interactions

4. Crowdsourcing Human-Robot Interaction: New Methods and System Evaluation in a Public Environment

5. Brewer R. W. Cerame E. Pursel E. R. Zimmermann A.&Schaefer K. E.(2018). Manned‐unmanned teaming: US Army Robotic Wingman Vehicles. In International Conference on Applied Human Factors and Ergonomics (pp.89‐100). Cham: Springer.

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