Research On Evaluation Method Of Human-computer Interaction Design Scheme Based On User's Perceptual Need

In the context of Industry 4.0 era,human-computer interaction is playing an increasingly important role in production and life.At present,the progress of the production model has promoted the popularity of interactive products,making the composition of their users gradually change from professionals to the general public,and their consumer market also focuses more on the buyer’s needs.Therefore,in the development stage of interactive product design,it is especially critical for enterprises to improve user satisfaction and win competitive advantages in the market by selecting interaction design solutions that meet users’ interaction needs through prior evaluation.However,under the premise that the basic functions of the same type of products are converging,users are gradually shifting their focus from the basic functions of the products to the humanized emotional experience.Under this trend,whether interaction design can accurately consider users’ perceptual needs is crucial to the evaluation of interaction design solutions.Based on this,this study develops a human-computer interaction design evaluation method from the perspective of user perception to meet the user’s perceptual needs.This study firstly elaborates the research background and research significance,analyzes the current status and shortcomings of the domestic and international research on perceptual evaluation methods of interaction design solutions,then determines the research ideas and carries out the following targeted work:(1)establishing a perceptual evaluation framework in the hesitation fuzzy environment,considering the subjectivity and uncertainty of user perception,improving the presentation of backward inference type of Kansei Engineering for evaluation information in the form of hesitant fuzzy elements to characterize perceptual evaluation information,fully retaining users’ differentiated perceptual cognition and preference;(2)combining perceptual engineering with Kano model to construct hesitant fuzzy Kansei-Kano model,identifying the classification of perceptual attributes through the nonlinear relationship between perceptual attributes and users’ perceptions,so as to determine the weight priority ranking of perceptual attributes;(3)addressing the existence of perceptual attributes among correlation,extend the CRITIC objective weight determination method,which reflects the interconnection between indicators,to the hesitant fuzzy background,construct a CRITIC weight determination method based on the hesitant fuzzy correlation coefficient,and fit it to the hesitant fuzzy Kansei-Kano model to determine the weights of perceptual evaluation indicators scientifically and reasonably on the basis of compensating for the limitations of the Kano model;(4)Considering that perceptual evaluation is essentially a multi-criteria evaluation and the evaluation behavior is influenced by multiple reference points such as target,bottom line and status quo,a hesitation fuzzy Taguchi segmental quality loss function based on three reference points is proposed in the context of hesitation fuzzy to evaluate the degree to which each program meets the user’s perceptual needs.Finally,the above methods are integrated to obtain the hesitant fuzzy perceptual evaluation model of interaction design scheme,and the implementation,verification and comparative analysis of this evaluation model are carried out with the example of intelligent vehicle center control interface design scheme preference,which proves that the model has good validity and applicability.