001476231 000__ 06375cam\\2200673Mu\4500 001476231 001__ 1476231 001476231 003__ OCoLC 001476231 005__ 20231003174639.0 001476231 006__ m\\\\\o\\d\\\\\\\\ 001476231 007__ cr\cn\nnnunnun 001476231 008__ 230826s2023\\\\si\a\\\\o\\\\\000\0\eng\d 001476231 019__ $$a1395132404$$a1396896552$$a1397660476 001476231 020__ $$a9789819939664 001476231 020__ $$a9819939666 001476231 020__ $$z9819939658 001476231 020__ $$z9789819939657 001476231 0247_ $$a10.1007/978-981-99-3966-4$$2doi 001476231 035__ $$aSP(OCoLC)1395182918 001476231 040__ $$aEBLCP$$beng$$cEBLCP$$dGW5XE$$dYDX$$dEBLCP$$dQGK$$dOCLCO 001476231 049__ $$aISEA 001476231 050_4 $$aTA166 001476231 08204 $$a620.8/2$$223/eng/20230831 001476231 24500 $$aApplied cognitive science and technology :$$bimplications of interactions between human cognition and technology /$$cSumitava Mukherjee, Varun Dutt, Narayanan Srinivasan, editors. 001476231 260__ $$aSingapore :$$bSpringer,$$c2023. 001476231 300__ $$a1 online resource (xviii, 259 pages) :$$billustrations (some color) 001476231 336__ $$atext$$btxt$$2rdacontent 001476231 337__ $$acomputer$$bc$$2rdamedia 001476231 338__ $$aonline resource$$bcr$$2rdacarrier 001476231 500__ $$aDescription based upon print version of record. 001476231 504__ $$aReferences -- 5 Model-Based Operator Assistance: How to Match Engineering Models with Humans' Cognitive Representations of Their Actions? -- Introduction -- Complex Problem Solving and Situation Awareness in Process Plants -- Formal Models in the Engineering Phase of a Plant -- Using Engineering Models for Operator Assistance -- Abstraction Hierarchies in Systems Engineering and Human Cognition -- Abstraction Hierarchies in Systems Engineering -- Abstraction Hierarchies in the Cognitive Representation of Actions -- Implications for the Use of Engineering Models in Operator Assistance Systems -- Models Need to Provide Information on the Right Levels of Abstraction 001476231 5050_ $$aIntro -- 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 001476231 5058_ $$aCognitive Factors Related to Preferences Toward AI Algorithms -- Transparency and Explanation -- Algorithmic Error -- Perceived Understanding -- Accuracy and Risk Levels -- Sense of Uniqueness-Neglect and Responsibility -- Summary of Factors -- Cognitive Solutions to Increase Acceptability of AI and Enhance Algorithmic Appreciation -- Communicate Transparency of Algorithmic Processing -- Give Control to Modify Algorithmic Outcomes -- Provide Social Proof -- Increase Understanding -- Frame Algorithms to Be More Humanlike -- Conclusion -- References 001476231 5058_ $$a2 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 001476231 5058_ $$aGoal-directed Action and Mirroring -- Altruistic and Strategic Behavior Toward Robots -- Ethical Considerations -- Present Challenges -- State of the Field -- References -- Part II Decision Support and Assistance Systems -- 4 Psychological Factors Impacting Adoption of Decision Support Tools -- Introduction -- Decision Support Systems -- Adoption -- Cognitive Biases -- Anchoring Bias -- Egocentric Bias -- Belief Bias -- Familiarity Bias -- Automation Bias -- Trust -- Ethics and Culpability -- Mitigating Factors -- Requirements -- Design -- Training -- Release -- Support -- Conclusion 001476231 506__ $$aAccess limited to authorized users. 001476231 520__ $$aThis book fills the long-pending gap in consolidating research on applied cognitive science and technology. It explores the broader implications of interactions between human cognition and technology by touching upon artificial intelligence (AI) and artificial agents, decision support and assistance support systems, cybersecurity threats, computational modeling of cognition through artificial neural networks and machine learning, human factors, engineering design, and social media interfaces. With an interdisciplinary scope that addresses psychological and technological issues, this unique book shows how cognitive science is furthered by technology(or platforms) while simultaneously illustrating how the study of cognitive processes is helping shape technological products. Accordingly, it offers a valuable resource for researchers and practitioners in a broad array of fields, such as psychology, science, engineering and management. 001476231 650_0 $$aHuman engineering. 001476231 650_0 $$aCognitive science. 001476231 650_6 $$aErgonomie. 001476231 650_6 $$aSciences cognitives. 001476231 655_0 $$aElectronic books. 001476231 7001_ $$aMukherjee, Sumitava. 001476231 7001_ $$aDutt, Varun. 001476231 7001_ $$aSrinivasan, Narayanan. 001476231 77608 $$iPrint version:$$aMukherjee, Sumitava$$tApplied Cognitive Science and Technology$$dSingapore : Springer,c2023$$z9789819939657 001476231 852__ $$bebk 001476231 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-99-3966-4$$zOnline Access$$91397441.1 001476231 909CO $$ooai:library.usi.edu:1476231$$pGLOBAL_SET 001476231 980__ $$aBIB 001476231 980__ $$aEBOOK 001476231 982__ $$aEbook 001476231 983__ $$aOnline 001476231 994__ $$a92$$bISE