A Research On Personalized Design For Mobiles In Big Data Context

Nowadays,the interest is rapidly developing.computer science and internet technology are changing the lifestyle of people fundamentally.The whole society is joining a new era,where data is everywhere and is able to do everything.This era is the “Big Data” era.Big data is widely used in many industries,especially in the design industry.Designers have increasingly focusing on the question of how to effective use big data.In recent years,the advancement of mobile phone technology has pushing the development of individual and multiple design.However,the research on the way of optimizing the UI design by collecting,analyzing and using data is far more sufficient.In the big data context,designing UI requires designers deeply study users' psychology,change the original designing mindset,and use the scientific information technology to cater the needs of market and development of popular trend.To fix the current research gap that mentioned above,this essay uses the big data information technology and the theories of UI designing theories,as well as the methodologies and theories of visual communication design,computer science,statistics and so on.The essay proposes a theory for mobile phone decision-making based on the big data and data warehouse,and testifies the theory in a practical project.Initially,by using different ways,this essay collects and analyzes the data related to mobile phone designing information based on fuzzy classification method.And then,it subdivides the designing elements of mobile phone UI design,summarizes the styles of designing mobile phone UI,and finally established a mobile phone UI design elements data warehouse.Secondly,the essay establishes a users' mental model.Combining the relationship between multi-dimensional data of mobile phone UI elements and styles,it proposes a theory for the decision-making design bases on the data warehouse.Finally,based on the above theories,the essay conducts a stimulating experiment.Based on this experiment,the essay analyzes the relationship between the multi-dimensional data analysis and styles.At the same time,it also classifies the preference of users' styles based on fuzzy C average value theory.And finally,it demonstrates the process and results of humanmachine interaction UI,confirming the feasibility of this method.