Rearch Of An Emotional Measuring Method Based On Fusion Of Brain Electrical And Eye Movement Technology

With the unceasing development of science and technology,more and more people pay attention to the feeling of product experience.It means the economy of user experience has arrived. So designers design product with user experience as its center.And the emotion produced by user experience process can reflect that user experience is good or bad,it is very important to know users’emotion when users are experiencing products.Eyes are the first window of interaction. Eye track data and electrical data produced by the process that through the eyes to get information quickly response to the brain for processing,can reflect users" emotion state accurately. Therefore, in order to grasp the emotional state accurately in the process of user interaction,it is necessary to study the emotional measurement method that combines the technique of eye track and electrical.In this paper, the research content mainly has the following several aspects:(1)Choosing experimental websites and experimental tasks used for source of emotional stimuli.The way to choose experimental websites is that through the questionnaire survey,from seven different integrated shopping websites select two websites that have the highest score and the lowest score;The way to choose experimental tasks is that through the expert interview.confirms finding and searching two tasks.Experimental purpose is stimulate participants different emotions from two aspects of appearance and usability.(2)Choosing eye tracking index and electrical index being tested and the emotional scale used for measuring emotion.Through literature review,select the form of frequency, average, the most value as eye track indicators;as well,through literature review, select alpha amplitude used for measuring user experience process as electrical indicators being tested and select Chinese version PAD emotional questionnaire for emotion measuring scale.(3)Doing emotional measurement experiment and collecting experimental data. Based on eye track and brain electrical emotional experiments are being done for 24 times respectively,And the experimental contents and process are the same,17 times used for modeling, three times used for the model test,four times used for test suitability of the model.(4)Build, analysis and verify emotional prediction model.First of all, classify the e motional value measured by PAD scale according to the emotional space.and then wit h emotional categories as factor, to analysis eye track data and electrical indicators usi ng single factor variance analysis, aiming at choosing eye track and electrical indicator s associated with emotions.Using partial least squares regression method to buildingmo dels.Finally by paired sample T test and sample the contrast between the actual values and predicted values for model test.(5)Applicability test of method. Choosing netease website as the experimental website for method application,and using the experimental data to do applicability test.