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[null,"1.","Record Nr.",null,"UNINA9910491030603321"]
[null,null,"Autore",null,"Ahram Tareq Z."]
[null,null,"Titolo",null,"Advances in artificial intelligence, software and systems engineering : proceedings of the AHFE 2021 Virtual Conferences on Human Factors in Software and Systems Engineering, Artificial Intelligence and Social Computing, and Energy, July 25-29, 2021, USA / / Tareq Z. Ahram, Waldemar Karwowski, Jay Kalra"]
[null,null,"Pubbl/distr/stampa",null,"Cham, Switzerland : , : Springer, , [2021]"]
[{"$nulls":4},"©2021"]
[null,null,"ISBN",null,"3-030-80624-3"]
[null,null,"Descrizione fisica",null,"1 online resource (548 pages)"]
[null,null,"Collana",null,"Lecture Notes in Networks and Systems ; ; Volume 271"]
[null,null,"Disciplina",null,"004.019"]
[null,null,"Soggetti",null,"Human-computer interaction"]
[{"$nulls":4},"Artificial intelligence"]
[{"$nulls":4},"Intel·ligència artificial"]
[{"$nulls":4},"Interacció persona-ordinador"]
[{"$nulls":4},"Congressos"]
[{"$nulls":4},"Llibres electrònics"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"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 "]
[{"$nulls":4},"Introduction -- 2 Legislations and Government Policies -- 3 Machine Learning Models -- 4 Artificial Intelligence -- 4.1 Principles and Methodology -- 4.2 Sub-systems -- 5 Limitations and Challenges -- 6 Conclusion -- References -- Graph-Based Modeling for Adaptive Control in Assistance Systems -- 1 Introduction -- 2 Adaptive Control and Pathways Modeling -- 3 Data-Driven Modeling for Flexible Adaption -- 4 Application Example -- 5 Conclusion -- References -- Chatbot User Experience: Speed and Content Are King -- 1 Introduction -- 2 Methodology -- 3 Participant Demographics -- 4 Research Findings -- 4.1 Individual Scenarios -- 4.2 Chatbot Overall Satisfaction Ratings and Predictors of Net Promoter Score -- 5 Best Practices in Designing Chatbots."]
[{"$nulls":4},"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."]
[{"$nulls":4},"2 Decision-Making Process and Related Theories -- 3 The Algebraic System and the Theory of Local Government's Management -- 4 The Decision Making as Inference -- 5 Conclusion -- References -- Application of AI in Diagnosing and Drug Repurposing in COVID 19 -- 1 Introduction -- 1.1 Diagnosis -- 1.2 Prognosis -- 1.3 Dashboards and Projections -- 2 Research and Development of Vaccines and Drugs -- 3 Prevention/Communication -- 4 Challenges -- 5 Conclusion -- References -- Using Eye-Tracking to Check Candidates for the Stated Criteria -- 1 Introduction -- 2 Technique and Research Methods -- 3 Search for Criteria for Decoding a Pupillogram in the \"Gray Zone\" and Results -- 4 Discussion -- 5 Main Results -- References -- Towards Understanding How Emojis Express Solidarity in Crisis Events -- 1 Introduction and Related Work -- 2 Data -- 3 Understanding the Emojis of Solidarity -- 3.1 RQ1: How Useful Are Emojis as Features in Classifying Expressions of Solidarity? -- 3.2 RQ2: What Sentiments Are Conveyed by Emojis in Solidarity Expressions During Crisis Events? -- 3.3 RQ3: How Can Emojis Be Used to Understand the Diffusion of Solidarity Expressions Over Time? -- 4 Conclusion and Discussion -- "]
[{"$nulls":4},"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."]
[{"$nulls":4},"2 Solution: AI Drives the Evolution of the Whole Chain of Programmatic Advertising -- 2.1 Deep Marketing Insight -- 2.2 Intelligent Advertising -- 2.3 Data Feedback and Optimization -- 3 Empowerment: Specific Application of AI Technology in Programmatic Advertising -- 3.1 Understanding Diverse Unstructured Data -- 3.2 Building Up Deep Users' Portrait -- 3.3 Achieving Creative Contents -- 4 Case: Programmatic Marketing Solution for Full Stack AI Decision-Making Platform -- 4.1 MIP, the AI Decision-Making Platform of Deep Zero|Pinyou [4] -- 4.2 The Digital and Intelligent Marketing Practice of Friso [4] -- 5 Reflection: Do not Fall into the Misunderstanding That Marketing is Only Technology-Based -- References -- A CRISP-DM Approach for Predicting Liver Failure Cases: An Indian Case Study -- 1 Introduction -- 2 Methodology -- 2.1 Business Understanding -- 2.2 Data Understanding -- 2.3 Data Preparation -- 2.4 Modeling -- 2.5 Evaluation -- 3 Results and Discussion -- 4 Conclusion -- References -- Towards a Most Suitable Way for AGI from Cognitive Architecture, Modeling and Simulation -- 1 Introduction -- 2 Artificial Intelligence, AGI and Cognitive Architecture -- 2.1 Artificial Intelligence and AGI -- 2.2 AI/AGI and Cognitive Architecture Share Same Ambition -- 2.3 Modeling, Cognitive Architecture and Simulation Aims at AGI -- 3 Cognitive Architecture: A Framework for Achieving AGI -- 3.1 AGI-Oriented and Model-Based Human Cognitive Characteristics -- 3.2 AGI-Oriented Cognitive Architecture and Its Mechanism -- 3.3 Implementation of Cognitive-Model-Based AGI Applications -- 4 Parameterization of Cognitive Characteristics in Cognitive Architecture and Modeling with PVT -- 4.1 Studies Motivation, Task and Cognitive Process -- 4.2 Parameterization, Modeling and Simulation -- 4.3 The Results -- 5 An AGI Case for Autonomous Maintenance/Assembly Task."]
[{"$nulls":4},"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 "]
[{"$nulls":4},"System -- 3.3 Systems Integration -- 4 Pilot Experiment and Preliminary Results -- 5 Conclusions -- References -- Intelligent Agent Proposal in a Building Electricity Monitoring System for Anomalies' Detection Using Reinforcement Learning -- 1 Introduction -- 2 Anomalies Detection in Building Electricity Consumption -- 3 Proposal -- 4 Conclusions -- References -- Voltammetric Electronic Tongues Applied to Classify Sucrose Samples Through Multivariate Analysis -- 1 Introduction -- 2 Methodology -- 2.1 Data Acquisition -- 2.2 Classifier Design."]
[{"$nulls":4},"3 Results."]