Emotional Engineering, Vol. 9: Move Ahead Toward Self-Satisfying Society (SSS)

Description

This is the latest volume in the series of Springer titles on emotional engineering tracking the development of this field. Engineering has been based on the Euclidean space approach and it was numerical data-centric. In short, our engineering up to now has been control-based, i.e., on tactics and problem solving. When we realize AI consumes 10,000 times more energy than human brain, we understand how it is better to use 10,000 people’s minds. But current society is industrial society. The industrial revolution introduced division of labour and we started to work for others. But the tremendous consumption of energy indicates that we need to move toward another society. If we can make the next society a self-Satisfying society (SSS) and create a new sustainable society with greater mental wellbeing then many emerging problems will be solved and we can enjoy our lives better. Emotional engineering engages with this challenge. Preface Contents 1 Natural Intelligence 1.1 Introduction 1.2 Changing Real World 1.3 The World of Direct Interaction 1.4 Why are Living Things Called Creatures? 1.5 Human Movement 1.6 Mind–Body–Brain 1.7 Perception, Consciousness 1.7.1 The Octopus 1.8 Pattern 1.8.1 Detecting Emotion from Face 1.8.2 Mahalanobis-Taguchi System 1.9 Static to Dynamic 1.9.1 Recurrent Neural Network 1.9.2 Reservoir Computing (RC) 1.10 Work for Yourself and Enjoy Life References 2 Instinctive Access and Emotional Benefit Sharing 2.1 Introduction 2.2 Work Style: Yesterday, Today and Tomorrow 2.3 Performance Evaluation: Yesterday, Today and Tomorrow 2.4 Human Needs: Yesterday, Today and Tomorrow 2.5 Increasing Importance of Story 2.6 Sharing “The Feeling” 2.6.1 Break-in and Fit Preservation 2.6.2 Blur and Shadow 2.7 Increasing Importance of Instinct 2.7.1 From Knowledge to Wisdom 2.7.2 From Experienced to Non-experienced 2.8 Supporting Instinct: How Can We? 2.8.1 Malahanobis Dsitance (MD) 2.8.2 Malahanobis-Taguchi System (MTS) 2.8.3 Mahalanobis Distance-Pattern (MDP) 2.9 Growing Together: From Well-Being to Well-Doing 2.9.1 Self-Sustaining Society (SSS) References 3 Self-expanding Mobile Society 3.1 Introduction 3.2 Remote Wireless Communication (RWC) 3.3 Mobile and Wireless Communication 3.4 Creative Intelligence References 4 Practical Life Science to Understand and Utilize Your Own Body in which Cells Dynamically Respond to Dynamics 4.1 BODY-MIND INTEGRATIVE SCIENCE 4.1.1 Bird’s Eye View from Connection Between Me and Cell 4.1.2 Glue Between Me and Mind Creates “BODY-MIND INTEGRATIVE SCIENCE” 4.2 αB-Crystallin Induced BODY-MIND INTEGRATIVE SCIENCE and Mindfullness 4.3 The Three Basic Human Postures, Tai Chi/Noh and Mindfullness/Self-Establishment/Self 4.4 Mindfulness and Self-Establishment/Selfness 4.5 Conclusion References 5 Cognitive Neuroscience for Design 5.1 Users, Designers, and Products in the Design Cycle 5.2 Cognitive Neuroscience 5.3 EEG Measurement and Analysis 5.4 Cognitive Neuroscience Approach for Design 5.5 EEG Research on Creativity 5.6 Conclusion References 6 A Theory of Kansei Value Creation with Serenity Management as a Practical Example 6.1 Introduction 6.2 Kansei Value Creation Process Model 6.2.1 The Knowledge Society and Knowledge Creation 6.2.2 Kansei Society and Kansei Value Creation 6.2.3 Proposed Process Model 6.3 Serenity Management Based on the Process Model 6.3.1 Observation Phase 6.3.2 Measurement Phase 6.3.3 Modeling Phase 6.3.4 Implementation Phase 6.4 Concluding Remarks References 7 Sketching Kansei Studies as a Complex Unit 7.1 Introduction 7.2 Kansei Studies as a Complex Unity 7.2.1 The Problem of Defining Kansei 7.2.2 Complex Thinking on Kansei Studies 7.2.3 Kansei Studies as an Open Interdisciplinary System 7.2.4 Consequences for Kansei Disciplines 7.3 Kansei Design 7.3.1 Design and Kansei 7.3.2 A Way of Kansei Design 7.3.3 Addressing Appropriation in Kansei Design 7.4 A Challenge for Kansei Studies 7.5 Conclusion References 8 Psychological Impressions and Real-Time KANSEI Trajectory of Music Listeners Resulting from Differences in Piano Performance Methods 8.1 Background and Objectives 8.2 Interview 8.3 Differences in Performance Methods 8.4 The Difference Between Overtones and Playing Techniques 8.5 Previous Research 8.6 Frequency Analysis and Interview Survey 8.7 Experiments Using a KANSEI Analyzer 8.8 Experiment Using the SD Method 8.9 Summary of Experiments and Assignments References 9 Color Emotions for Skin Color Under a Light System Controlling Color Rendering Property 9.1 Introduction 9.2 The Light System 9.2.1 Theoretical Background 9.2.2 Development of the Light System 9.2.3 Evaluation of System Performance 9.3 Color Emotions Under the Light System 9.3.1 Aim and Scope 9.3.2 Stimuli and Participants 9.3.3 Results 9.4 Evaluation of Skin Color 9.4.1 Aim and Scope 9.4.2 Procedure 9.4.3 Results 9.5 Discussion 9.5.1 Color Emotional Response to a Single Color Patch 9.5.2 Color Emotional Response to the Skin Color of an Average Face 9.5.3 Color Emotional Response to a Single Color Patch 9.6 Conclusion and Future Directions References 10 Information Theoretic Emotions—A Mathematical Framework of Emotion Potential Caused by Complexity and Novelty 10.1 Introduction 10.2 A Mathematical Framework of Emotion Potential 10.2.1 Belief Distributions 10.2.2 Free Energy and Surprisal 10.2.3 Free Energy Definitions in Physics, Bayesian Statistics, and Neuroscience 10.2.4 Free Energy as Emotional Potential 10.2.5 Uncertainty and Complexity 10.3 Beauty of Butterfly Forms Wundt Curve 10.4 Discussion References 11 Application of Machine Learning Technology to Gait Analysis and Training 11.1 Background and Challenges 11.1.1 Problem with Increasing Number of People Requiring Long-Term Care in Japan and Gait Training in Physical Therapy 11.1.2 Gait Training Through Motion Information Feedback and Associated Challenges 11.2 Application of Machine Learning to Gait Analysis 11.2.1 Machine Learning Technology 11.2.2 Application of Machine Learning to Gait Analysis 11.3 Gait Feedback Training Method that Considers the Individual Physical Traits of the Trainees 11.4 Building a Gait Classification Model of Stumbling 11.4.1 Multivariate Gait Data Acquisition 11.4.2 Labeling of Data 11.4.3 Learning with MC-DCNN and Accuracy of Gait Classification 11.5 Setting the Target Multivariate Gait Data that Consider Individual Physical Differences 11.5.1 Generating Target Multivariate Gait Data in Characteristic Activation 11.5.2 Results of Generating the Target Multivariate Gait Data 11.6 Conclusions References 12 Illuminating Method of Architectures to Express the Characteristics of Local City (Kanazawa, Japan) 12.1 Introduction 12.2 Detecting Characteristics of the Cities by Semantic Words 12.2.1 Expressing City Characteristics by Semantic Words 12.2.2 Data Analysis 12.2.3 Result and Discussions 12.3 Evaluation of Local Characteristics in Illumination of “Tsuzumi-Gate” in Kanazawa 12.3.1 Methods 12.3.2 Results and Discussions 12.4 Summery References 13 Broadening the Appeal of Environmentally Friendly Flowers Workshop 13.1 Introduction 13.2 Novelty of This Study 13.3 Environmentally Friendly Flowers Workshop 13.3.1 Proposal of Spiral up Design 13.4 Evaluation Method of the Workshop 13.5 Evaluation Result 13.5.1 Knowledge of the Environmental Problems and Degree of the Empathy for Slow Flowers Philosophy 13.5.2 Flower Purchasing Standards 13.5.3 Purchasing Awareness 13.6 Conclusions References 14 Promoting Data Science in Mechanical Engineering Research and Education: An Exploration of the Hackathon Mechanism 14.1 Background and Introduction 14.2 ASME CIE Hackathon—An Overview 14.3 Hackathon Problems 14.3.1 Problem 1—Generating a Data-Driven Surrogate Model for Machine Damage Accumulation 14.3.2 Problem 2—In-process Data Mining for Powder-Bed Fusion Additive Manufacturing 14.4 Results, Feedback, Reflection, and Impact 14.4.1 Characteristics of Participant Solutions 14.4.2 Pre- and Post-survey 14.4.3 Testimony and Impact 14.4.4 Feedback and Reflection 14.5 Conclusion and Outlook References