Self-organization and associative memory: 3rd edition
Self-organization and associative memory: 3rd edition
Contextual design: defining customer-centered systems
Contextual design: defining customer-centered systems
Emotion & design: attractive things work better
interactions
Neural and Adaptive Systems: Fundamentals through Simulations with CD-ROM
Neural and Adaptive Systems: Fundamentals through Simulations with CD-ROM
The Psychology of Human-Computer Interaction
The Psychology of Human-Computer Interaction
Aesthetic design - just an add on?
Proceedings of HCI International (the 8th International Conference on Human-Computer Interaction) on Human-Computer Interaction: Ergonomics and User Interfaces-Volume I - Volume I
Interactive generative systems for conceptual design: An empirical perspective
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Product concept generation and selection using sorting technique and fuzzy c-means algorithm
Computers and Industrial Engineering
Soliciting customer requirements for product redesign based on picture sorts and ART2 neural network
Expert Systems with Applications: An International Journal
An integration of bidding-oriented product conceptualization and supply chain formation
Computers in Industry
An in-process customer utility prediction system for product conceptualisation
Expert Systems with Applications: An International Journal
MRM: A matrix representation and mapping approach for knowledge acquisition
Knowledge-Based Systems
Expert Systems with Applications: An International Journal
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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.