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.
Author(s): Shuichi Fukuda
Publisher: Springer
Year: 2022
Language: English
Pages: 189
City: Cham
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
