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Smart collaboration between humans and machines based on mutual understanding

Toshiyuki Inagaki
- Vol. 32, Iss: 2, pp 253-261
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TLDR
Issues of human trust in automation, automation surprises, responsibility and authority, and how to improve the safety and comfort of a human-machine system are discussed.
Abstract
To improve the safety and comfort of a human-machine system, the machine needs to 'know,' in a real time manner, the human operator in the system The machine's assistance to the human can be fine tuned if the machine is able to sense the human's state and intent Related to this point, this paper discusses issues of human trust in automation, automation surprises, responsibility and authority Examples are given of a driver assistance system for advanced automobile

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Citations
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Journal ArticleDOI

Human–Agent Teaming for Multirobot Control: A Review of Human Factors Issues

TL;DR: The human factors literature on intelligent systems was reviewed, and two key human performance issues related to H-A teaming for multirobot control and some promising user interface design solutions to address these issues were discussed.
Proceedings ArticleDOI

Presenting system uncertainty in automotive UIs for supporting trust calibration in autonomous driving

TL;DR: Results show that the group of drivers who were provided with the uncertainty representation took control of the car faster when needed, while they were, at the same time, the ones who spent more time looking at other things than on the road ahead.
Journal ArticleDOI

Improving the driver-automation interaction: an approach using automation uncertainty.

TL;DR: The presentation of automation uncertainty through a symbol improves overall driver–automation cooperation and might improve the acceptance of fallible systems and further enhances driver–AUTOMation cooperation.
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Cognitive Cars: A New Frontier for ADAS Research

TL;DR: This paper provides a survey of recent works on cognitive cars with a focus on driver-oriented intelligent vehicle motion control and discusses how to combine the two directions into a single integrated system to obtain safety and comfort while driving.
Proceedings Article

Being Transparent about Transparency: A Model for Human-Robot Interaction

TL;DR: The current paper discusses the concept of human-robot interaction through the lens of a model depicting the key elements of robot-to-human and robot-of-human transparency with potentials design implications for the various transparency domains.
References
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Journal ArticleDOI

Humans and Automation: Use, Misuse, Disuse, Abuse

TL;DR: Understanding the factors associated with each of these aspects of human use of automation can lead to improved system design, effective training methods, and judicious policies and procedures involving automation use.
Journal Article

Humans and automation: Use, misuse, disuse, abuse

TL;DR: In this paper, the authors address theoretical, empirical, and analytical studies pertaining to human use, misuse, disuse, and abuse of automation technology, and propose a method to detect false alarms and omissions.
Book

Telerobotics, Automation, and Human Supervisory Control

TL;DR: Theory and models of supervisory control of teleoperators for space, undersea, and other applications are discussed in this paper, where the social implications of telerobotics, automation, and super-visory control are discussed.
Book

Handbook of Human Factors and Ergonomics

TL;DR: Partial table of contents: THE HUMAN FACTORS FUNCTION.
Journal ArticleDOI

The Out-of-the-Loop Performance Problem and Level of Control in Automation:

TL;DR: This work studied the automation of a navigation task using an expert system and demonstrated that low SA corresponded with out-of-the-loop performance decrements in decision time following a failure of the expert system.
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