Zobrazeno 1 - 10
of 59
pro vyhledávání: '"Jessie Y. C. Chen"'
Publikováno v:
IEEE Transactions on Human-Machine Systems. 50:189-193
The eight papers in this special issue focus on agent and system transparency in human-machine systems. The concept of transparency is investigated in a variety of contexts of human agent interaction—from a single robot to multiple heterogeneous ag
Publikováno v:
Advances in Simulation and Digital Human Modeling ISBN: 9783030510633
AHFE (6)
AHFE (6)
Intelligent Agent-based transparency is an important tool for improving trust and reliance calibration in human-agent teaming. Further, flexibility in amount and type of transparency information provided to human collaborators may allow for the accom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::698c9fa21c4ce29a4b9d0b294569a349
https://doi.org/10.1007/978-3-030-51064-0_2
https://doi.org/10.1007/978-3-030-51064-0_2
The future of robotics, envisioned by the US military, is made up of humans teamed with autonomous, intelligent robots. A shift in human–robot interaction (HRI), from the teleoperation of robotic systems to a more teamwork-oriented interaction, con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f92672c10dba29fcc97a264070fe7fc
https://doi.org/10.1016/b978-0-12-815367-3.00001-3
https://doi.org/10.1016/b978-0-12-815367-3.00001-3
Autor:
Michael J. Barnes, Jessie Y. C. Chen, Kimberly Stowers, Anthony R. Selkowitz, Julia L. Wright, Shan G. Lakhmani
Publikováno v:
Theoretical Issues in Ergonomics Science. 19:259-282
Effective collaboration between humans and agents depends on humans maintaining an appropriate understanding of and calibrated trust in the judgment of their agent counterparts. The Situation Aware...
Publikováno v:
Cognitive Systems Research. 46:13-25
Agent transparency has been proposed as a solution to the problem of facilitating operators’ situation awareness in human-robot teams. Sixty participants performed a dual monitoring task, monitoring both an intelligent, autonomous robot teammate an
Publikováno v:
Cognitive Systems Research. 46:26-39
This paper addresses issues related to integrating autonomy-enabled, intelligent agents into collaborative, human-machine teams. Interaction with intelligent machine agents capable of making independent, goal-directed decisions in human-machine teami
Publikováno v:
Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 61:1594-1598
We examined how varying the transparency of agent reasoning affected complacent behavior, in the form of incorrect acceptances of an agent’s recommendations, in a route selection task. We were particularly interested in how participants’ eye move
Publikováno v:
Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 60:1319-1323
The present study investigated the effect of including information to support transparency, based on the Situation awareness-based Agent Transparency (SAT) model, in the interface for an autonomous agent known as the Autonomous Squad Member (ASM). In
Publikováno v:
Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 59:811-815
This study investigated how differing levels of information affected decisions human operators made in a route-selection task. Experiment 1 examined how information about resource usage/requirements affected route-selection decisions for a remotely b
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