Modeling Consumer Sensitivity for Product Design and Perceived Usability
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The primary objective of this research paper is to investigate the relationship between the perceived qualities of home appliances with respect to various design features. Consumers may define their fondness of the particular system or model over other model(s) by using different sensibility words such as robust, sleek, luxurious, reliable, sturdy, comfortable etc. It is the objective of this study to determine the principal sensibility word(s) consumers use to define their perceived feelings about the particular model and investigate if these words are related to the design elements of the system and if such relationship exits, then the objective is to determine the optimal design criteria(s) so as to attain the maximum possible perceived quality of the system for which the consumer may have upon interacting with other comparable systems. This research is based on statistical regression and correlation analysis with multiple linear objective programming (MLOP) for thirteen selected sensibility words and twelve product models with respect to forty nine design elements (37 unique design elements broken down to 49 independent variables). Results provided significance using statistical modeling arrived at fuzzy set logic and MLOP.
KeywordsConsumer Sensitivity Product Design Perceived Usability
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