Kooperativer Bibliotheksverbund

UID:

Umfang: XVI, 535 p. 290 illus., 213 illus. in color. , online resource.

Ausgabe: 1st ed. 2021.

ISBN: 9783030806248

Serie: Lecture Notes in Networks and Systems, 271

Inhalt: This book addresses emerging issues concerning the integration of artificial intelligence systems in our daily lives. It focuses on the cognitive, visual, social and analytical aspects of computing and intelligent technologies, and highlights ways to improve the acceptance, effectiveness, and efficiency of said technologies. Topics such as responsibility, integration and training are discussed throughout. The book also reports on the latest advances in systems engineering, with a focus on societal challenges and next-generation systems and applications for meeting them. Further, it covers some cutting-edge issues in energy, including intelligent control systems for power plant, and technology acceptance models. Based on the AHFE 2021 Conferences on Human Factors in Software and Systems Engineering, Artificial Intelligence and Social Computing, and Energy, held virtually on 25-29 July, 2021, from USA, this book provides readers with extensive information on current research and future challenges in these fields, together with practical insights into the development of innovative services for various purposes.

Anmerkung: Human-AI-collaboration in the context of information asymmetry: A behavioral analysis of Demand Forecasting -- A minimally supervised event detection method -- LDAvis, BERT: Comparison of method application under Corona conditions -- Artificial Intelligence (AI) coupled with Internet of Things (IoT) for the enhancement of occupational health and safety in the construction industry -- Graph-based modeling for adaptive control in assistance systems -- Chatbot user experience: Speed and content are king.

In: Springer Nature eBook

Weitere Ausg.: Printed edition: ISBN 9783030806231

Weitere Ausg.: Printed edition: ISBN 9783030806255

Sprache: Englisch

DOI: 10.1007/978-3-030-80624-8

URL: https://doi.org/10.1007/978-3-030-80624-8

URL: Volltext  (URL des Erstveröffentlichers)

UID:

Umfang: 1 online resource (548 pages)

ISBN: 3-030-80624-3

Serie: Lecture Notes in Networks and Systems ; Volume 271

Anmerkung: Intro -- Advances in Human Factors and Ergonomics 2021 -- Preface -- Contents -- Human Factors in Artificial Intelligence and Social Computing -- Human-AI-Collaboration in the Context of Information Asymmetry - A Behavioral Analysis of Demand Forecasting -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 4 Results -- 5 Conclusion -- References -- A Minimally Supervised Event Detection Method -- 1 Introduction -- 2 Method -- 2.1 Novelty Filtering -- 2.2 SME Tagging and Bayesian Network Classification -- 2.3 Iterative Workflow -- 3 Example Results -- 3.1 Choosing the Novelty Filter Threshold -- 3.2 SME Tagging and TAN BN Classification -- 4 Conclusion and Future Work -- References -- LDAvis, BERT: Comparison of Method Application Under Corona Conditions -- 1 Introduction -- 2 Data Preparation: Nominalization, Toponyms, Topic Count -- 3 Material Exploration: LDAvis, BERT -- 3.1 LDAvis -- 3.2 BERT -- 4 Conclusion -- References -- Artificial Intelligence (AI) Coupled with the Internet of Things (IoT) for the Enhancement of Occupational Health and Safety in the Construction Industry -- 1 Introduction -- 2 Legislations and Government Policies -- 3 Machine Learning Models -- 4 Artificial Intelligence -- 4.1 Principles and Methodology -- 4.2 Sub-systems -- 5 Limitations and Challenges -- 6 Conclusion -- References -- Graph-Based Modeling for Adaptive Control in Assistance Systems -- 1 Introduction -- 2 Adaptive Control and Pathways Modeling -- 3 Data-Driven Modeling for Flexible Adaption -- 4 Application Example -- 5 Conclusion -- References -- Chatbot User Experience: Speed and Content Are King -- 1 Introduction -- 2 Methodology -- 3 Participant Demographics -- 4 Research Findings -- 4.1 Individual Scenarios -- 4.2 Chatbot Overall Satisfaction Ratings and Predictors of Net Promoter Score -- 5 Best Practices in Designing Chatbots. , 6 Conclusions -- References -- Is Artificial Intelligence Digital? -- 1 Introduction -- 2 Signal Characteristic -- 3 Crosstalk and Noise -- 4 Impact on Higher Level -- References -- Interpreting Pilot Behavior Using Long Short-Term Memory (LSTM) Models -- 1 Introduction -- 2 Methods -- 3 Results -- 4 Discussion -- 4.1 Interpretation of Window Length and Lag Length Decay Metrics -- 4.2 Applications and Next Steps -- 5 Conclusion -- References -- Felix: A Model for Affective Multi-agent Simulations -- 1 Introduction -- 2 Background -- 2.1 Emotions -- 2.2 Affective Computing -- 3 Project Laetitia -- 4 The Felix Model -- 4.1 Internal Components -- 4.2 Genetics -- 4.3 Fuzzy Affective System -- 4.4 Preliminary Data -- 5 Conclusions and Future Work -- References -- The Old Moral Dilemma of "Me or You" -- 1 Introduction -- 2 Research Background -- 2.1 Autonomous Vehicles (AVs) in Marketing Literature -- 2.2 The Ethical Issue -- 3 Research Design -- 4 Findings -- 5 Conclusion -- References -- Analysis of a Bankruptcy Prediction Model for Companies in Chile -- 1 Introduction -- 2 Methodology -- 3 Conclusions -- References -- Computational Intelligence Applied to Business and Services: A Sustainable Future for the Marketplace with a Service Intelligence Model -- 1 Introduction -- 2 Approaches to the Use of Computational Intelligence in Business -- 3 Incorporation of Computational Intelligence in the Design and Delivery of Services -- 4 A Sustainable Future for the Marketplace: Service Intelligence Model -- 5 Conclusions -- References -- Modeling Cognitive Load in Mobile Human Computer Interaction Using Eye Tracking Metrics -- 1 Introduction -- 2 Related Work -- 3 Proposed Approach -- 4 Results -- 5 Discussion -- 6 Conclusion -- References -- Theoretical Aspects of the Local Government's Decision-Making Process -- 1 Introduction. , 2 Decision-Making Process and Related Theories -- 3 The Algebraic System and the Theory of Local Government's Management -- 4 The Decision Making as Inference -- 5 Conclusion -- References -- Application of AI in Diagnosing and Drug Repurposing in COVID 19 -- 1 Introduction -- 1.1 Diagnosis -- 1.2 Prognosis -- 1.3 Dashboards and Projections -- 2 Research and Development of Vaccines and Drugs -- 3 Prevention/Communication -- 4 Challenges -- 5 Conclusion -- References -- Using Eye-Tracking to Check Candidates for the Stated Criteria -- 1 Introduction -- 2 Technique and Research Methods -- 3 Search for Criteria for Decoding a Pupillogram in the "Gray Zone" and Results -- 4 Discussion -- 5 Main Results -- References -- Towards Understanding How Emojis Express Solidarity in Crisis Events -- 1 Introduction and Related Work -- 2 Data -- 3 Understanding the Emojis of Solidarity -- 3.1 RQ1: How Useful Are Emojis as Features in Classifying Expressions of Solidarity? -- 3.2 RQ2: What Sentiments Are Conveyed by Emojis in Solidarity Expressions During Crisis Events? -- 3.3 RQ3: How Can Emojis Be Used to Understand the Diffusion of Solidarity Expressions Over Time? -- 4 Conclusion and Discussion -- References -- Deep Neural Networks as Interpretable Cognitive Models for the Quine's Uncertainty Thesis -- 1 Introduction: Quine' Uncertainty Thesis Meets the Black Box -- 2 Gestalt Cognition Uncertainty as Enhanced Version for Quine' Uncertainty Thesis -- 3 Approaches for Tackling Gestalt Cognition in Deep Neural Networks -- 4 Conclusions: Interpretability as a Mixture of Computer Vision and Human Cognition -- References -- Artificial Intelligence: Creating More Possibilities for Programmatic Advertising -- 1 Challenge: Programmatic Advertising is Confronted with Increasingly Complicated. , 2 Solution: AI Drives the Evolution of the Whole Chain of Programmatic Advertising -- 2.1 Deep Marketing Insight -- 2.2 Intelligent Advertising -- 2.3 Data Feedback and Optimization -- 3 Empowerment: Specific Application of AI Technology in Programmatic Advertising -- 3.1 Understanding Diverse Unstructured Data -- 3.2 Building Up Deep Users' Portrait -- 3.3 Achieving Creative Contents -- 4 Case: Programmatic Marketing Solution for Full Stack AI Decision-Making Platform -- 4.1 MIP, the AI Decision-Making Platform of Deep Zero|Pinyou [4] -- 4.2 The Digital and Intelligent Marketing Practice of Friso [4] -- 5 Reflection: Do not Fall into the Misunderstanding That Marketing is Only Technology-Based -- References -- A CRISP-DM Approach for Predicting Liver Failure Cases: An Indian Case Study -- 1 Introduction -- 2 Methodology -- 2.1 Business Understanding -- 2.2 Data Understanding -- 2.3 Data Preparation -- 2.4 Modeling -- 2.5 Evaluation -- 3 Results and Discussion -- 4 Conclusion -- References -- Towards a Most Suitable Way for AGI from Cognitive Architecture, Modeling and Simulation -- 1 Introduction -- 2 Artificial Intelligence, AGI and Cognitive Architecture -- 2.1 Artificial Intelligence and AGI -- 2.2 AI/AGI and Cognitive Architecture Share Same Ambition -- 2.3 Modeling, Cognitive Architecture and Simulation Aims at AGI -- 3 Cognitive Architecture: A Framework for Achieving AGI -- 3.1 AGI-Oriented and Model-Based Human Cognitive Characteristics -- 3.2 AGI-Oriented Cognitive Architecture and Its Mechanism -- 3.3 Implementation of Cognitive-Model-Based AGI Applications -- 4 Parameterization of Cognitive Characteristics in Cognitive Architecture and Modeling with PVT -- 4.1 Studies Motivation, Task and Cognitive Process -- 4.2 Parameterization, Modeling and Simulation -- 4.3 The Results -- 5 An AGI Case for Autonomous Maintenance/Assembly Task. , 5.1 Autonomous Control Task and Cognitive Process -- 5.2 Cognitive Modeling and Simulation -- 5.3 The Results -- 6 Conclusion -- References -- Promoting Economic Development and Solving Societal Issues Within Connected Industries Ecosystems in Society 5.0 -- 1 Introduction -- 2 Key Areas Needing Change -- 3 Addressing These Challenges -- 3.1 Business Resiliency -- 3.2 Food Supply Chain -- 3.3 Digital Payments -- 4 Conclusions -- References -- Artificial Intelligence and Tomorrow's Education -- 1 Introduction -- 2 Applications of AI in Education -- 2.1 The Automation of Administrative Tasks -- 2.2 Collection and Analysis of Information to Create Smart Content -- 2.3 The Implementation of Virtual Assistants in the Teaching-Learning Process -- 2.4 The Potential Delivery of Lectures by Humanoid Robots with AI -- 3 Conclusions -- References -- Towards Chinese Terminology Application of TERMONLINE -- 1 Introduction -- 2 The Establishment of TERMONLINE -- 3 The Advancement of TERMONLINE -- 4 The Service Functions of TERMONLINE -- 5 A Case-Based Term Query and Retrieval -- 6 Conclusion -- References -- AsiRo-μ: A Multi-purpose Robotic Assistant for Educational Inclusion of Children with Multiple Disabilities -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 Robotic Assistant -- 3.2 Gesture Recognition System -- 3.3 Systems Integration -- 4 Pilot Experiment and Preliminary Results -- 5 Conclusions -- References -- Intelligent Agent Proposal in a Building Electricity Monitoring System for Anomalies' Detection Using Reinforcement Learning -- 1 Introduction -- 2 Anomalies Detection in Building Electricity Consumption -- 3 Proposal -- 4 Conclusions -- References -- Voltammetric Electronic Tongues Applied to Classify Sucrose Samples Through Multivariate Analysis -- 1 Introduction -- 2 Methodology -- 2.1 Data Acquisition -- 2.2 Classifier Design. , 3 Results.

Weitere Ausg.: ISBN 3-030-80623-5

Sprache: Englisch

Schlagwort(e): Congressos ; Llibres electrònics ; Congressos ; Llibres electrònics