A TEXT MINING APPROACH TO CAPTURE USER EXPERIENCE FOR NEWPRODUCT DEVELOPMENT

摘要

Insights into product design and development drive the strategies related to new products including price, demand, capacity,cost, and return strategies. To retrieve insights into human–product interactions, the user experience can be captured as theinput of product design and development to enhance product quality and user satisfaction. However, it is critical to ascertainfeedback on user experience to determine appropriate user preferences and needs. In this study, a text mining approach wasdeveloped to capture user experience in order to help product designers and developers to determine user purchase behaviorand critical product features. The proposed text mining approach identifies key entities and expressions from full textualtranscripts of user perceptions. Based on term frequency and emotional scales, this study provided the ordinary scale ofcategorical data. The emotional adjectives and functional terms of the data were analyzed to ascertain user experience andidentify user segmentation. By extracting and associating key entities and expressions from user perceptions, we identifiedthe features of wearable devices that influence user purchasing behavior. The results can assist designers to launch appropriateproducts and help developers to identify the key users that will enhance overall user satisfaction and company competitiveness.