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Emotional Engineering, Vol. 8

Overview of attention for book
Cover of 'Emotional Engineering, Vol. 8'

Table of Contents

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    Book Overview
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    Chapter 1 Instinct Engineering: What We Learn from Invertebrate
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    Chapter 2 From Work for Others to Work for Yourself
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    Chapter 3 The Relationship Between Attributes of Objects and Phonemes of Naming
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    Chapter 4 Computational Handicraft
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    Chapter 5 Sustainable Behaviour: A Framework for the Design of Products for Behaviour Change
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    Chapter 6 Quantifying Trust Perception to Enable Design for Connectivity in Cyber-Physical-Social Systems
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    Chapter 7 A Study of “Waku-Waku” at Work
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    Chapter 8 The Romantic Brain: Secure Attachment Activates the Brainstem Centers of Well-Being
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    Chapter 9 A Neural Model of Aesthetic Preference for Product
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    Chapter 10 Emotional Design: Discovering Emotions Across Cars’ Morphologies
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    Chapter 11 Modeling of Aesthetic Curves and Surfaces for Industrial Design
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    Chapter 12 A Mathematical Model of Emotions for Novelty
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    Chapter 13 The Relation Between Characteristics of Forest Sounds and Psychological Impression
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    Chapter 14 Artificial Intelligence and Virtual Reality-Based Kansei, Emotional, and Cognitive Science and Engineering
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    Chapter 15 Development of an LED Lighting System Through Evaluation of Legibility and Visual Fatigue
Attention for Chapter 13: The Relation Between Characteristics of Forest Sounds and Psychological Impression
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Citations

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Chapter title
The Relation Between Characteristics of Forest Sounds and Psychological Impression
Chapter number 13
Book title
Emotional Engineering, Vol. 8
Published by
Springer, Cham, January 2020
DOI 10.1007/978-3-030-38360-2_13
Book ISBNs
978-3-03-038359-6, 978-3-03-038360-2
Authors

Terutaka Yana, Takashi Maeno, Yana, Terutaka, Maeno, Takashi

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 100%
Readers by discipline Count As %
Environmental Science 1 100%

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