Effects Of Automation Predictability And Understandability On Trust In Human Machine Teaming
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Effects Of Automation Predictability And Understandability On Trust In Human Machine Teaming
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Author : Jeremy Friedman
language : en
Publisher:
Release Date : 2018
Effects Of Automation Predictability And Understandability On Trust In Human Machine Teaming written by Jeremy Friedman and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with categories.
In Human Machine Teaming (HMT) systems the automation must serve as an autonomous teammate with the ability to learn and improve. While future learning capabilities will be designed to improve the performance of the machine, they will also cause the machine's behaviors to change over time in ways that may be unpredictable or hard to understand to a human. These changes may, in turn, negatively impact the human partner's ability to develop and maintain trust with the machine, even if the changes result in an overall improvement in the automation's functioning. This experiment was designed to examine how a machine's predictability and understandability affect trust in the automation. It made use of a simulated search and rescue environment in which a human operator was instructed to team with a simulated Unmanned Aerial System (UAS) to survey a group of damaged buildings for viable entry points. There were two independent variables, the UAS automation's predictability, and the UAS automation's understandability. Predictability reflects how predictable the success/failures of the automation were in accomplishing the goal of correctly identifying entry points. Understandability reflects how easily the operator could understand the automation's methods. The operator could choose to trust the automation to find all the potential entry points on its own or check buildings manually to directly verify the automation's entry point suggestions. The operator was also responsible for answering a constant stream of unrelated questions as a secondary task. Trust was measured both before and after the experiment using subjective ratings. The results showed that decreasing UAS predictability had a significant negative impact on participants' trust in the system. The results also showed that participants were more informed by assumptions about the automation (automation bias) then by the UAS's actual understandability. Regardless of what flight path was observed, participants tended to believe that the UAS was working as expected or intended.
Advances In Neuroergonomics And Cognitive Engineering
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Author : Carryl Baldwin
language : en
Publisher: Springer
Release Date : 2017-06-12
Advances In Neuroergonomics And Cognitive Engineering written by Carryl Baldwin and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-06-12 with Technology & Engineering categories.
This book offers a broad perspective on the field of cognitive engineering and neuroergonomics, covering emerging practices and future trends toward the harmonious integration of human operators with computational systems. It reports on novel theoretical findings on mental workload and stress, activity theory, human reliability, error and risk, and neuroergonomic measures alike, together with a wealth of cutting-edge applications. Further, the book describes key advances in our understanding of cognitive processes, including mechanisms of perception, memory, reasoning, and motor response, with a special emphasis on their role in interactions between humans and other elements of computer-based systems. Based on the AHFE’s main track on Neuroergonomics and Cognitive Engineering, held on July 17–21, 2017 in Los Angeles, California, USA, it provides readers with a comprehensive overview of the current challenges in cognitive computing and factors influencing human performance.
Intelligent Human Systems Integration Ihsi 2024 Integrating People And Intelligent Systems
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Author : Tareq Ahram
language : en
Publisher: AHFE International
Release Date : 2024-02-22
Intelligent Human Systems Integration Ihsi 2024 Integrating People And Intelligent Systems written by Tareq Ahram and has been published by AHFE International this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-22 with Education categories.
Intelligent Human Systems Integration 2024 Proceedings of the 7th International Conference on Intelligent Human Systems Integration: Integrating People and Intelligent Systems, Universita? degli Studi di Palermo, Palermo, Italy, February 22- 24, 2024
Trust In Human Robot Interaction
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Author : Chang S. Nam
language : en
Publisher: Academic Press
Release Date : 2020-11-17
Trust In Human Robot Interaction written by Chang S. Nam and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-17 with Psychology categories.
Trust in Human-Robot Interaction addresses the gamut of factors that influence trust of robotic systems. The book presents the theory, fundamentals, techniques and diverse applications of the behavioral, cognitive and neural mechanisms of trust in human-robot interaction, covering topics like individual differences, transparency, communication, physical design, privacy and ethics. - Presents a repository of the open questions and challenges in trust in HRI - Includes contributions from many disciplines participating in HRI research, including psychology, neuroscience, sociology, engineering and computer science - Examines human information processing as a foundation for understanding HRI - Details the methods and techniques used to test and quantify trust in HRI
Putting Ai In The Critical Loop
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Author : Prithviraj Dasgupta
language : en
Publisher: Elsevier
Release Date : 2024-02-20
Putting Ai In The Critical Loop written by Prithviraj Dasgupta and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-20 with Computers categories.
Providing a high level of autonomy for a human-machine team requires assumptions that address behavior and mutual trust. The performance of a human-machine team is maximized when the partnership provides mutual benefits that satisfy design rationales, balance of control, and the nature of autonomy. The distinctively different characteristics and features of humans and machines are likely why they have the potential to work well together, overcoming each other's weaknesses through cooperation, synergy, and interdependence which forms a "collective intelligence. Trust is bidirectional and two-sided; humans need to trust AI technology, but future AI technology may also need to trust humans.Putting AI in the Critical Loop: Assured Trust and Autonomy in Human-Machine Teams focuses on human-machine trust and "assured performance and operation in order to realize the potential of autonomy. This book aims to take on the primary challenges of bidirectional trust and performance of autonomous systems, providing readers with a review of the latest literature, the science of autonomy, and a clear path towards the autonomy of human-machine teams and systems. Throughout this book, the intersecting themes of collective intelligence, bidirectional trust, and continual assurance form the challenging and extraordinarily interesting themes which will help lay the groundwork for the audience to not only bridge the knowledge gaps, but also to advance this science to develop better solutions. - Assesses the latest research advances, engineering challenges, and the theoretical gaps surrounding the question of autonomy - Reviews the challenges of autonomy (e.g., trust, ethics, legalities, etc.), including gaps in the knowledge of the science - Offers a path forward to solutions - Investigates the value of trust by humans of HMTs, as well as the bidirectionality of trust, understanding how machines learn to trust their human teammates
Artificial Intelligence Management And Trust
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Author : Mariusz Sołtysik
language : en
Publisher: Taylor & Francis
Release Date : 2023-09-01
Artificial Intelligence Management And Trust written by Mariusz Sołtysik and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-01 with Business & Economics categories.
The main challenge related to the development of artificial intelligence (AI) is to establish harmonious human-AI relations, necessary for the proper use of its potential. AI will eventually transform many businesses and industries; its pace of development is influenced by the lack of trust on the part of society. AI autonomous decision-making is still in its infancy, but use cases are evolving at an ever-faster pace. Over time, AI will be responsible for making more decisions, and those decisions will be of greater importance. The monograph aims to comprehensively describe AI technology in three aspects: organizational, psychological, and technological in the context of the increasingly bold use of this technology in management. Recognizing the differences between trust in people and AI agents and identifying the key psychological factors that determine the development of trust in AI is crucial for the development of modern Industry 4.0 organizations. So far, little is known about trust in human-AI relationships and almost nothing about the psychological mechanisms involved. The monograph will contribute to a better understanding of how trust is built between people and AI agents, what makes AI agents trustworthy, and how their morality is assessed. It will therefore be of interest to researchers, academics, practitioners, and advanced students with an interest in trust research, management of technology and innovation, and organizational management.
Effects Of Situation Specific Reliability On Trust And Usage Of Automated Decision Aids
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Author : Anthony J. Masalonis
language : en
Publisher:
Release Date : 2000
Effects Of Situation Specific Reliability On Trust And Usage Of Automated Decision Aids written by Anthony J. Masalonis and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Automation categories.
As machines' cognitive capacities approach those of humans, one may consider human-automation interactions in light of social psychology concepts such as trust. Trust combines with self-confidence to affect decision to use the automation; whichever is trusted more, the self or the machine, is more likely to be used. Automation performance can depend on the situation, and successful human-automation interaction may depend on training the human operator to recognize the factors impacting automation's reliability. Automation trust predicts usage and performance, especially ability to detect critical events missed by the machine. Training for variable-reliability automation may therefore have to depend on the person's pre-existing attitudes about automation, and on whatever attitudes develop as they gain experience. Also, users may exhibit discrepant attitudes about the likelihood and importance of machine missed detections vs. machine false alarms.
Mental Models Trust And Reliance
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Author :
language : en
Publisher:
Release Date : 2009
Mental Models Trust And Reliance written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Automation categories.
Today's military increasingly uses automation to perform or augment the performance of complex tasks. Automated systems that support or even make important decisions require human operators to understand and trust automation in order to rely on it appropriately. This study examined the effect of varying degrees of information about an automated system's reliability on mental model accuracy, trust in, and reliance on automation. Forty-two participants were divided into three groups based on level of information received about the reliability of a simulated automated target detection aid. One group received little information, one group received accurate information, and one group received inaccurate information about the target detection aid's reliability. Each participant completed a series of 120 tasks in which he or she was required to identify the presence of a threat target and then decide whether to use an automated aid for assistance. Results indicate a significant difference between the groups' trust in and reliance on automation. The experimental group that received little information trusted the automation less but relied on it more. These findings, accompanied by observational data collected regarding the formation of mental models, demonstrate the necessity of continued research in the field of automation trust.