Dr. Junzo Watada is a professor of Knowledge Engineering, Soft Computing and Management Engineering at Waseda University, Japan.Prof. Hisao Shiizuka is currently at Kogakuin University and is the President of Japan Society of Kansei Engineering.

• A Bio-signal-based Control Approach to Building a Comfortable Space.- A New Social Emotion Estimating Method by Measuring Micro Movement of Human Bust.- Affective Engineering in Applications to Bilevel Human Migration Models.- Analysis and Evaluation of Business Signs Using Deviation Values.- Defining Design Subjects according to the Context in which Problems Occur.- Design Management Strategy - A Case Study of an Affective Product.- Kansei as a Function of Aesthetic Experience in Product Design.- Kawaii Rules: Increasing Affective Value of Industrial Products.- Modeling Emotional Evaluation of Traditional Vietnamese Aodai Clothes Based on Computer Vision and Machine Learning.- Near-Infrared Spectroscopy (NIRS) Analysis of Emotion when Reading e-Books with Sound Effects.- The Effects of Culture on Users’ Perception of a Webpage: A Comparative Study of the Cognitive Styles of Chinese, Koreans and Americans.- Backrest Designs in Meeting Chairs.- Branding Luxury through Affective Value - Case of Swiss Watch Industry.- Button Sound Quality Evaluation for Car Audio Main Units.- Characteristics of the Design and Production Process for Italian and Japanese Made Tailored Jackets in the Global Market.- Online Shopping and Individual Consumer Adaptation: The Relationship between Fabric-identification Ability and Prior Knowledge.- Reading Emotion of Color Environments: Computer Simulations With Self-Reports and Physiological Signals.- Reviewing the Role of the Science Fiction Special Interest Group via User Interfaces: the Case of Science Fiction Movies.- Sleep Quality and Skin-lightening Effects of White Mother Chrysanthemum Aroma.- The Emotional Characteristics of White for Applications of Product Color Design.- The Influence of Skincare Routines on Skin Physiology Parameters and Affective-Values.- Understanding Product Features Using a Hybrid Machine Learning Model.