Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Jessie Y. C. Chen"'
Publikováno v:
Ergonomics. 61(8)
In a human-automation interaction study, automation assistance level (AL) was investigated for its effects on operator performance in a dynamic, multi-tasking environment. Participants supervised a convoy of manned and unmanned vehicles traversing a
Publikováno v:
Human and Machine Learning ISBN: 9783319904023
Human and Machine Learning
Human and Machine Learning
Technological advances offer the promise of autonomous systems to form human-machine teams that are more capable than their individual members. Understanding the inner workings of the autonomous systems, especially as machine-learning (ML) methods ar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::163c21a30f4df7a4cbf555dc3d6e5829
https://doi.org/10.1007/978-3-319-90403-0_5
https://doi.org/10.1007/978-3-319-90403-0_5
Publikováno v:
Intelligent Human Systems Integration ISBN: 9783319738871
IHSI
IHSI
This work describes and validates a concept of transparent behavior for adaptive automation in the field of military helicopter missions. The adaptive automation is implemented as a cognitive agent, to serve as an artificial co-pilot. It dynamically
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::40b6a342425999f2b5aa0ce585fb8e55
https://doi.org/10.1007/978-3-319-73888-8_28
https://doi.org/10.1007/978-3-319-73888-8_28
Autor:
Jessie Y. C. Chen, Michael J. Barnes
Publikováno v:
IEEE Transactions on Human-Machine Systems. 44:13-29
The human factors literature on intelligent systems was reviewed in relation to the following: efficient human supervision of multiple robots, appropriate human trust in the automated systems, maintenance of human operator's situation awareness, indi
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319399065
HCI (10)
HCI (10)
We examined how the transparency of an agent’s reasoning affected the human operator’s complacent behavior in a military route selection task. Participants guided a three-vehicle convoy through a simulated environment in which they had a limited
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::01ab28a4f552dfe814bfd65d1253add2
https://doi.org/10.1007/978-3-319-39907-2_45
https://doi.org/10.1007/978-3-319-39907-2_45
Autor:
Jessie Y. C. Chen, Michael J. Barnes
Publikováno v:
Human Factors: The Journal of the Human Factors and Ergonomics Society. 54:157-174
Objective: A military multitasking environment was simulated to examine the effects of an intelligent agent, RoboLeader, on the performance of robotics operators. Background: The participants’ task was to manage a team of ground robots with the ass
Publikováno v:
IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews). 41:435-454
The purpose of this paper is to review research pertaining to the limitations and advantages of supervisory control for unmanned systems. We identify and discuss results showing technologies that mitigate the observed problems such as specialized int
Publikováno v:
Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 54:1493-1497
US Army researchers and support contractors are involved in a multi-year effort to understand the impact of human-robot interaction (HRI) and teaming for unmanned aerial vehicles (UAV) and unmanned ground vehicles (UGV) in future and current Army con
Autor:
Jessie Y. C. Chen
Publikováno v:
Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 52:237-241
We simulated a military mounted crewstation environment and conducted two experiments to examine the workload and performance of the combined position of gunner and robotics operator. The robotics tasks involved managing a semi-autonomous ground robo
Autor:
Joseph E. Mercado, Michael A. Rupp, Daniel Barber, Michael J. Barnes, Jessie Y. C. Chen, Katelyn Procci
Publikováno v:
Human factors. 58(3)
Objective: We investigated the effects of level of agent transparency on operator performance, trust, and workload in a context of human–agent teaming for multirobot management. Background: Participants played the role of a heterogeneous unmanned v