Research on User Mental Model Acquisition Based on Multidimensional Data Collaborative Analysis in Product Service System Innovation Process

Abstract

The core of innovation design for product service system is to provide products and services meeting the needs of users. Traditional user research methods have many drawbacks, such as data interference, fuzzy feedback, single-dimensional indicators lack mutual verification, these issues have not been effectively resolved. If the designer can’t understand the users’ needs in time and objectively, and accurately construct the users’ mental model, it will make the design decision blurred and slow, and the design scheme lacks the utility. Taking into account the drawbacks of traditional user research methods, we use the multidimensional data collaborative analysis technology to obtain user, environment, tasks and other context information. The interaction between the user and the product service system is selected, and the context data of the target user is acquired by using the wearable device, the eye movement measurement and behavior analysis system. These methods can assist the designer discover the product service system usability problem, understand the users’ needs, build the users’ mental model. This paper focuses on the research of user mental model acquisition mechanism in Product Service System Innovation Process. Based on context awareness multidimensional data collaborative analysis, the users’ mental model is constructed accurately. To promote the effective matching between the design conceptual model and the user mental model to produce the optimal design, avoid the waste of the design process resources.