Emotional Artificial Intelligence and Metaverse (Studies in Computational Intelligence, 1067)

✍ Scribed by Roger Lee (editor)

• Publisher: Springer
• Year: 2022
• Tongue: English
• Leaves: 212
• Category: Library

✦ Synopsis

This edited book presents scientific results of the 1st ACIS International Symposium on Emotional Artificial Intelligence & Metaverse (EAIM) which was held on August 4-6, 2022, in Danang, Vietnam. The aim of this symposium was to bring together researchers and scientists, businessmen and entrepreneurs, teachers, engineers, computer users, and students to discuss the numerous fields of computer science and to share their experiences and exchange new ideas and information in a meaningful way. All aspects (theory, applications, and tools) of emotional artificial intelligence and metaverse, the practical challenges encountered along the way, and the solutions adopted to solve them are all explored here in the results of the articles featured in this book.

The symposium organizers selected the best papers from those papers accepted for presentation at the symposium. The papers were chosen based on review scores submitted by members of the program committee and underwent further rigorous rounds of review. From this second round of review, 15 of the symposium’s most promising papers are then published in this Springer (SCI) book and not the symposium proceedings. We impatiently await the important contributions that we know these authors will bring to the field of emotional artificial intelligence and metaverse.

✦ Table of Contents

Foreword
Contents
Contributors
Why do companies become similar, but performance is different?: Understanding of Corporate isomorphism through Self-determination
1 Introduction
2 Theoretical Background
2.1 Understanding of Innovative behavior
2.2 Perceptual action of Self-determination
2.3 Hypothesis Setting
3 Research Method
3.1 Data Collection
3.2 Measurement
4 Empirical Analysis
4.1 Verification of The Reliability and Validity of Variables
4.2 Hypothesis Testing
4.3 Summary of Hypothesis Verification
5 Conclusions
5.1 Interpretation of Research Results
5.2 Implications of Research Findings
5.3 Future Research Challenges
References
A Study on the Customer Experience Management (CEM) by Applying Walk-Through Audit (WtA); Focused on Hospitality Service Cases
1 Introduction
2 Theoretical Background
2.1 Customer Experience Management (CEM)
2.2 Understanding Hospitality Services
3 Walk-Through Audit on Hospitality Services Facilities
3.1 Overview of Target Facilities
3.2 Design of Walk-Through Audits
4 Research Method
4.1 Data Collection
4.2 Analysis of WtA Results for Hospitality Services
5 Conclusions
References
A Study on the Factors of Positive Psychological Capital on Organizational Citizenship Behavior: For Teachers of Infant Welfare Service Institutions
1 Introduction
2 Theoretical Background and Hypotheses
2.1 The Relationship Between Positive Psychological Capital and Organizational Identification, Psychological Well-Being, and Role Performance
2.2 Relationships Between Organizational Identification, Psychological Well-Being, and Role Performance
2.3 Relationships Between Organizational Identification, Psychological Well-Being, Role Performance, and Organizational Citizenship Behavior
2.4 The Moderating Effect Relationships Between Coaching Leadership and Variables
3 Research Method
4 Analysis and Result
5 Conclusions
References
The Effect of Self-Determination and Quality of VR-Based Education in the Metaverse on Learner Satisfaction
1 Introduction
2 Theoretical Background
2.1 Metaverse and Virtual Reality
2.2 Technology Acceptance Model
2.3 Information Systems Success Model
2.4 Self-Determination Theory
2.5 Flow Theory and Learner Satisfaction
3 Research Method
3.1 Research Model and Hypotheses
3.2 Data Collection
4 Data Analysis
4.1 Structural Equation Modeling (SEM) Analysis
5 Conclusions
References
A Study on Industrial Artificial Intelligence-Based Edge Analysis for Machining Facilities
1 Introduction
2 Related Researches
3 Design of Intelligent Edge Analysis System
3.1 Data Collection
3.2 Data Pre-processing
3.3 Intelligent Edge Analysis Model
4 Test and Validation
4.1 Data Collection and Experiment Design
4.2 Verification for AI Model of Tool State Analysis
4.3 Verification for AI Model of Machining Quality Analysis
5 Results
6 Conclusions
References
AI Recruitment System Using EEG to Explore the Truth of Interviewers
1 Introduction
2 Theoretical Background
2.1 Social Response to AI Recruitment System
2.2 Introduction to AI Recruitment Process
2.3 Artificial Intelligence
2.4 EEG (Electroencephalogram)
3 Research Methodology
3.1 Experiment Design
3.2 Signal Acquisition from EEG
3.3 Data Pre-processing: Artifact Removal
3.4 Eeg Features Extraction
4 Classification Models Implement
4.1 Method of Feature Selection and Filter Method
4.2 Correlation Analysis with Extra Trees Classifier
4.3 Feature Selection
4.4 Binary Classification Modeling
4.5 Models’ Evaluation
4.6 Machine Learning Classification Indicators (Precision, Recall, F1 Score)
5 Conclusions
References
Development of ESG Evaluation Indicators from a Policy Perspective—Focusing on the Legislature
1 Introduction
2 Theoretical Background
2.1 The Concept of ESG and Importance
2.2 Prior Studies
2.3 AHP (Analytic Hierarchy Process)
3 Research Design
3.1 Derivation of Evaluation Indicators for Korean ESG Models Through Previous Studies
3.2 Optimization of Evaluation Items for Korean ESG Models
3.3 Definition of Optimized Korean ESG Model Area and Evaluation Items
4 Empirical Analysis Results
4.1 Item Weight Results for Overall Survey
4.2 Comparative Analysis of Weighted Results on Enterprise and Legislative Officials
5 Conclusion and Future Research
References
A Study on the Analysis of Related Keywords on the Perception of Untact Coding Education in the Post-COVID Era Using Big Data Analysis
1 Introduction
2 Theoretical Background
2.1 Big Data
2.2 Online Education Domestic Research Trends
2.3 Understanding SW Education
3 Research Method
3.1 Dataset and Methodology
3.2 Dataset Analysis Method
4 Result
4.1 Online SW Education Big Data Word Frequency Analysis
4.2 SW Training Matrix Analysis and Charts
4.3 Discourse Analysis of SW Education
4.4 Word Sentiment Analysis for SW Education
5 Conclusion
References
Relationship Between Narcissism, Self-esteem and Youth Consumption Behavior
1 Introduction
2 Theoretical Background
2.1 Narcissism
2.2 Self-esteem
2.3 Youth Consumer
3 Research Methods
3.1 Subject of Study
3.2 Analysis Method
4 Research Results
4.1 Youth’s Narcissism, Self-esteem, Consumption Behavior
4.2 The Effect of youth’s Narcissism and Self-esteem on Rational Consumption Behavior
4.3 The Effect of youth’s Narcissism and Self-esteem on Irrational Consumption Behavior
5 Conclusions
References
The Effect of Transformational Leadership on the Volunteer Members’ Organizational Commitment in Non-profit Organizations: The Moderating Effects of  Motivation on Volunteeing
1 Introduction
2 Theoretical Backgrounds and Hypotheses
2.1 Transformational Leadership and Organizational Commitment
2.2 Moderating Effects of Volunteer Motivation
3 Methods
3.1 Data Collection
3.2 Operational Definition and Measurement of Variables
4 Results
4.1 Demographic Analysis of Survey Participants
4.2 Validity, Reliability, Descriptive Statistics, and Correlations
4.3 Results of Hypotheses
5 Discussion
References
Analysis on the Life Cycle of Soundtrack Content in K-POP—Data-Driven on Music Platforms
1 Introduction
2 Theoretical Background
2.1 Assessment of Service Efficiency
2.2 Superstar Effect
2.3 Brandwagon Effect
2.4 Brand Theory (K. L. Keller, 1993)
2.5 Product Life Cycle Theory (Raymond Vernon)
2.6 Prior Studies
3 Research Method
3.1 An Analysis of Variables Affecting the Life Cycle of K-POP
3.2 Data Collection and Analysis Overview
4 Research Results
4.1 Frequency Analysis
4.2 Correlation Analysis
4.3 Linear Regression Analysis
4.4 Decision Tree Model
4.5 K-POP Life Cycle Prediction Model
5 Conclusion and Limitations
References
Method of Selecting the Optimal Location of Barrier-Free Bus Stops Using Clustering
1 Introduction
2 Literature Review
2.1 Prior Research on Site Selection
2.2 A Study on Transportation Vulnerability
3 Research Method
3.1 Research Methodology Procedure
3.2 Datasets
3.3 Clustering Methods
4 Data Analysis
4.1 Number of Clusters
4.2 Result of Clustering
5 Conclusions
References
Common Adverse Events Following COVID-19 Vaccination in Patients with Type 2 Diabetes
1 Introduction
2 Materials and Methods
2.1 Data
2.2 Natural Language Processing
2.3 Study Population
2.4 Chosen Common AEs
2.5 Statistical Analysis
3 Results
3.1 Study Characteristics
3.2 Frequency (%) of 25 Common AEs
3.3 Risk of 25 Common AEs
3.4 The Subgroup Analysis by Vaccine Brands
4 Conclusions
References
Examining Participant's Perception of SPICE Factors of Metaverse MICE and Its Impact on Participant's Loyalty and Behavioral Intentions
1 Introduction
2 Theoretical Background
2.1 Metaverse and MICE
2.2 SPICE Model for Metaverse
2.3 Loyalty for and Intent to Participate in MICE Events
3 Research Method
4 Data Analysis Results
4.1 Analysis of Sample Characteristics
4.2 Descriptive Statistical Analysis on the Assessed Concepts
4.3 Research Model Hypothesis Testing
5 Conclusions
References
Kidult Marketing Reflecting the Characteristics of MZ Generation
1 Introduction
2 Theoretical Background
3 Methodology and Results
3.1 Characteristics and Consumption of MZ Generation
3.2 Retro Trend and Kidult
4 Conclusion
4.1 MZ Generation Who Values “Me”
4.2 Kidult Marketing
References
Correction to: Analysis on the Life Cycle of Soundtrack Content in K-POP—Data-Driven on Music Platforms
Correction to: Chapter “Analysis on the Life Cycle of Soundtrack Content in K-POP—Data-Driven on Music Platforms” in: R. Lee (ed.), Emotional Artificial Intelligence and Metaverse, Studies in Computational Intelligence 1067, https://doi.org/10.1007/978-3-031-16485-9_11
Author Index