Swarm-Optimization-Based Affective Product Design Illustrated by a Mobile Phone Case-Study

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Koffka Khan 1,* Ashok Sahai 2

1. Department of Computing and Information Technology, University of the West Indies, St. Augustine, Trinidad And Tobago (W.I.)

2. Department of Mathematics and Statistics, University of the West Indies, St. Augustine, Trinidad And Tobago (W.I.)

* Corresponding author.

DOI: https://doi.org/10.5815/ijisa.2012.05.04

Received: 25 Jun. 2011 / Revised: 7 Oct. 2011 / Accepted: 6 Dec. 2011 / Published: 8 May 2012

Index Terms

Product design, particle swarm optimization, kansei engineering


This paper presents a new approach of user-oriented design for transforming users’ perception into product elements design. An experimental study on mobile phones is conducted to examine how product form and product design parameters affect consumer’s perception of a product. The concept of Kansei Engineering is used to extract the experimental samples as a data base for neural networks (NNs) with particle swarm optimization (PSO) analysis. The result of numerical analysis suggests that mobile phone makers need to focus on particular design parameters to attract specific target user groups, in addition to product forms. This paper demonstrates the advantage of using KE-PSO for determining the optimal combination of product design parameters. Based on the analysis, we can use KE-PSO to suggest customers’ preferences for mobile phone design attributes that would be considered optimal by various user groups of all surveyed. They can be used for improvement and development of new future products.

Cite This Paper

Koffka Khan, Ashok Sahai, "Swarm-Optimization-Based Affective Product Design Illustrated by a Mobile Phone Case-Study", International Journal of Intelligent Systems and Applications(IJISA), vol.4, no.5, pp.23-29, 2012. DOI:10.5815/ijisa.2012.05.04


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