Emotion & design: attractive things work better
interactions
Interactive generative systems for conceptual design: An empirical perspective
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Cluster Analysis
A dominance-based rough set approach to Kansei Engineering in product development
Expert Systems with Applications: An International Journal
Modeling customer satisfaction for new product development using a PSO-based ANFIS approach
Applied Soft Computing
A multi-objective genetic algorithm approach to rule mining for affective product design
Expert Systems with Applications: An International Journal
ANFIS modeling for predicting affective responses to tactile textures
Human Factors in Ergonomics & Manufacturing
Affective and cognitive design for mass personalization: status and prospect
Journal of Intelligent Manufacturing
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In this paper, a prototype system that focuses on affective design perspective for iterative product concept development is proposed and described. The prototype system, which emphasises the solicitation of affective attributes from customers, employs a sorting technique, i.e. picture sorts, for acquiring customer's affective requirements and a hierarchical structure for representing designer's formal elements to meet customer's affective requirements in product conceptualisation. As hierarchical structure alone contains qualitative and uncertain inherence, a self-organised algorithm known as Kohonen self-organising map (SOM) neural network is employed to consolidate the relationship between affective requirements from customers and formal elements from designers so as to formulate a customer-oriented product concept. The performance of the prototype system is illustrated by using a case study on the design of a mobile hand phone.