Abstract
Experience economy is a trend of future economic development. Enterprises can only occupy the market more successfully by enhancing the user experience in product design. The user’s product experience is affected by uncertainty noises (such as the user’s environment and different users), rendering the user experience quality evaluation results highly variable. The purpose of this paper is to study the modeling method of user experience quality evaluations under uncertain environmental noises; inspired by normal ordered weighted averaging (OWA) operators, the normal distribution probability density function is implemented to improve the normal ordered weighted averaging (OWA) operators, and a new modeling method designed for the evaluation of user experience quality under uncertainty is proposed, which can overcome the disadvantage of unreasonable weight distribution when the data size and location are different, as well as weigh the importance of both the value and the location of the data. The simulation results show that this method is more effective, accurate, and feasible than the conventional order weighted synthesis operator method. The feasibility and validity of this method are proved by user experience and comparative experiments of multiattribute bread products.
Highlights
User experience can be defined as the user’s overall experience using a product or system
Inspired by the normal order weighted ensemble operator, we proposed a new method based on the normal distribution probability density function operator, which is an upgrade of the ordered weighted ensemble operator. e principal idea behind this method is that for a random variable, a probability density function is used to describe the probability distribution of the variable
In order to verify the validity of the method, a new bread product developed by the school bakery was used to evaluate the users’ satisfaction degree of their bread product experience
Summary
User experience can be defined as the user’s overall experience using a product or system. Evaluation modeling refers to a mathematical modeling problem [9,10,11,12], which integrates several user experience quality evaluation data of the same product into a comprehensive result. E principal steps are as follows: (1) reorder the input parameters in a descending order; (2) a normal weighted assignment method is used to determine the weight associated with the OWA operator, and (3) the OWA operator is used to aggregate the rearranged data At present, this method has been applied in some scenarios [19, 20]. E main contribution of this paper is setting forth a synthesis operator which uses the weighted synthesis operator of the normal distribution probability density function to establish a new modeling method of the user experience quality evaluation under uncertainty.
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