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Advances in Human Factors in Robots and Unmanned Systems [electronic resource] : Proceedings of the AHFE 2017 International Conference on Human Factors in Robots and Unmanned Systems, July 17−21, 2017, The Westin Bonaventure Hotel, Los Angeles, California, USA / edited by Jessie Chen.

Contributor(s): Chen, Jessie [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Advances in Intelligent Systems and Computing: 595Publisher: Cham : Springer International Publishing : Imprint: Springer, 2018Edition: 1st ed. 2018.Description: XII, 358 p. 142 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319603841.Subject(s): Computational intelligence | Control engineering | Robotics | Automation | Psychology, Experimental | User interfaces (Computer systems) | Human-computer interaction | Computational Intelligence | Control, Robotics, Automation | Experimental Psychology | User Interfaces and Human Computer InteractionAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access online
Contents:
A model for temperament and emotions on robots -- Spatial understanding as a common basis for human-robot collaboration -- Issues and advances in anomaly detection evaluation for joint human-automated systems -- UAS detect and avoid – alert times and pilot performance in remaining well clear -- How close is close enough? Temporal matching between visual and tactile signaling -- Human robot team development: An operational and technical perspective -- Toward an “equal-footing” human-robot interaction for fully autonomous vehicles.
In: Springer Nature eBookSummary: This book focuses on the importance of human factors in the development of reliable and safe unmanned systems. It discusses current challenges such as how to improve perceptual and cognitive abilities of robots, develop suitable synthetic vision systems, cope with degraded reliability of unmanned systems, predict robotic behavior in case of a loss of communication, the vision for future soldier-robot teams, human-agent teaming, real-world implications for human-robot interaction, and approaches to standardize both display and control of technologies across unmanned systems. Based on the AHFE 2017 International Conference on Human Factors in Robots and Unmanned Systems, held on July 17-21, Los Angeles, California, USA, this book is expected to foster new discussion and stimulate new ideas towards the development of more reliable, safer, and functional devices for carrying out automated and concurrent tasks.
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A model for temperament and emotions on robots -- Spatial understanding as a common basis for human-robot collaboration -- Issues and advances in anomaly detection evaluation for joint human-automated systems -- UAS detect and avoid – alert times and pilot performance in remaining well clear -- How close is close enough? Temporal matching between visual and tactile signaling -- Human robot team development: An operational and technical perspective -- Toward an “equal-footing” human-robot interaction for fully autonomous vehicles.

This book focuses on the importance of human factors in the development of reliable and safe unmanned systems. It discusses current challenges such as how to improve perceptual and cognitive abilities of robots, develop suitable synthetic vision systems, cope with degraded reliability of unmanned systems, predict robotic behavior in case of a loss of communication, the vision for future soldier-robot teams, human-agent teaming, real-world implications for human-robot interaction, and approaches to standardize both display and control of technologies across unmanned systems. Based on the AHFE 2017 International Conference on Human Factors in Robots and Unmanned Systems, held on July 17-21, Los Angeles, California, USA, this book is expected to foster new discussion and stimulate new ideas towards the development of more reliable, safer, and functional devices for carrying out automated and concurrent tasks.

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