Applied cognitive science and technology : implications of interactions between human cognition and technology / Sumitava Mukherjee, Varun Dutt, Narayanan Srinivasan, editors.
Mukherjee, Sumitava.; Dutt, Varun.; Srinivasan, Narayanan.
2023
TA166
Available Online

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Title Applied cognitive science and technology : implications of interactions between human cognition and technology / Sumitava Mukherjee, Varun Dutt, Narayanan Srinivasan, editors.
ISBN 9789819939664
9819939666
9819939658
9789819939657
DOI https://doi.org/10.1007/978-981-99-3966-4
Imprint Singapore : Springer, 2023.
Language English
Description 1 online resource (xviii, 259 pages) : illustrations (some color)
Other Standard Identifiers 10.1007/978-981-99-3966-4 doi
Call Number TA166
Dewey Decimal Classification 620.8/2
Summary This book fills the long-pending gap in consolidating research on applied cognitive science and technology. It explores the broader implications of interactions between human cognition and technology by touching upon artificial intelligence (AI) and artificial agents, decision support and assistance support systems, cybersecurity threats, computational modeling of cognition through artificial neural networks and machine learning, human factors, engineering design, and social media interfaces. With an interdisciplinary scope that addresses psychological and technological issues, this unique book shows how cognitive science is furthered by technology(or platforms) while simultaneously illustrating how the study of cognitive processes is helping shape technological products. Accordingly, it offers a valuable resource for researchers and practitioners in a broad array of fields, such as psychology, science, engineering and management.
Note Description based upon print version of record.
Bibliography, etc. Note References -- 5 Model-Based Operator Assistance: How to Match Engineering Models with Humans' Cognitive Representations of Their Actions? -- Introduction -- Complex Problem Solving and Situation Awareness in Process Plants -- Formal Models in the Engineering Phase of a Plant -- Using Engineering Models for Operator Assistance -- Abstraction Hierarchies in Systems Engineering and Human Cognition -- Abstraction Hierarchies in Systems Engineering -- Abstraction Hierarchies in the Cognitive Representation of Actions -- Implications for the Use of Engineering Models in Operator Assistance Systems -- Models Need to Provide Information on the Right Levels of Abstraction
Access Note Access limited to authorized users.
Added Author Mukherjee, Sumitava.
Dutt, Varun.
Srinivasan, Narayanan.
Available in Other Form Applied Cognitive Science and Technology
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Intro
Preface
Contents
Editors and Contributors
Part I Artificial Intelligence and Agents
1 Toward Behavioral AI: Cognitive Factors Underlying the Public Psychology of Artificial Intelligence
A Revived Human View of Artificial Intelligence
India
New Zealand
United Kingdom
United States
China
Worldwide Growth and An Evolving Need for Behavioral AI
Why Should We Trust Algorithms?
Algorithm Aversion and Appreciation
Domain Specificity and Task Sensitivity
Measuring Preferences for AI Versus Humans in Light of National AI Strategies

Cognitive Factors Related to Preferences Toward AI Algorithms
Transparency and Explanation
Algorithmic Error
Perceived Understanding
Accuracy and Risk Levels
Sense of Uniqueness-Neglect and Responsibility
Summary of Factors
Cognitive Solutions to Increase Acceptability of AI and Enhance Algorithmic Appreciation
Communicate Transparency of Algorithmic Processing
Give Control to Modify Algorithmic Outcomes
Provide Social Proof
Increase Understanding
Frame Algorithms to Be More Humanlike
Conclusion
References

2 Defining the Relationship Between the Level of Autonomy in a Computer and the Cognitive Workload of Its User
Introduction
Review
Levels of Automation
Measurements of Mental Workload
Other Factors that May Impact Relationship
Experimental Design and Methodology
Discussion
Conclusion
References
3 Cognitive Effects of the Anthropomorphization of Artificial Agents in Human-Agent Interactions
Introduction
Anthropomorphic Design
The Uncanny Valley
Social Robotics
Empathy and Attribution of Mind
Physical Human-Robot Interaction

Goal-directed Action and Mirroring
Altruistic and Strategic Behavior Toward Robots
Ethical Considerations
Present Challenges
State of the Field
References
Part II Decision Support and Assistance Systems
4 Psychological Factors Impacting Adoption of Decision Support Tools
Introduction
Decision Support Systems
Adoption
Cognitive Biases
Anchoring Bias
Egocentric Bias
Belief Bias
Familiarity Bias
Automation Bias
Trust
Ethics and Culpability
Mitigating Factors
Requirements
Design
Training
Release
Support
Conclusion

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