Reaserch On Big Data Drtven UI Product Innovation Design

At present,under the background of "Internet+5G",online application products emerge in an endless stream,and their application scope has been extended to all aspects of social life.At the same time,many UI products,due to their own design defects,are often just a flash in the pan even if rushed online.Not only the "demand mismatch",but also the "immediacy" and "effectiveness" of offline resource integration will be directly reflected in the UI interface design.In addition,the big data generated by online browsing,online communication and online consumption(including all the online behavior data of users)can be tracked by designers through the use of association analysis algorithm,and the marginal effect of big data often brings unexpected gains to designers.Thus,through to the big data in UI patterns and products are badly in need of extraction,classification and development trend of integration,can accurately locate the user’s demand goal,build efficient,accurate and personalized service,constantly optimize the UI product hierarchy information interaction and interface button,allowing users to demand information from "passive accept" into"tailored" possible,also provides the UI designers more accurate pattern of interactive interface design.At the same time,through the integration of online resources,comparing with statistics,break the past a single online interactive mode,committed to build "double closed-loop cross pattern design,so can effectively reduce the dislocation information,cognitive information imbalance,time and material cost,improve and optimize thoroughly before inefficient UI design process.This paper plans to use the big data of the new elderly group to accurately analyze the cases of the "maintenance in one" experience model,and combine the cognitive characteristics of the new elderly group to conduct a case study on the user factor experience model.Through the new elderly physiological needs and spiritual needs comprehensive guide design,will be very different with traditional older people demand new elderly community into the public view,in the design at the same time of humanistic concern,the transition of design function applied to the society,leading the new old people on the basis of the online "curing"more healthy active lifestyle.To create a social service system that serves the elderly and is led by culture and art.This article first on the UI product homogeneity,imperfect defects,design model,user model mismatch,and the lack of cultural and artistic elements,item by item analysis,using big data logic features,compared with the traditional sampling analysis method,and combining with the question of big data analytics to detail,the advantages of precision and data ductility,deduces the UI interaction model of products and real demand by matching design paradigm.That is,the qualitative conclusion is derived through quantitative analysis,that is,through data screening and data analysis to find out the demand orientation of the same kind of new and old user groups and the directivity of UI operation interface.By setting the target service or target product icon on the UI product interface,the feasibility of the design paradigm is verified by using practice feedback,and real data is provided for the subsequent optimization and upgrading.By analyzing the interactive cases of "integrated care" and comparing with similar cases,we can find that many old-age care products only support but not care,or only care but not care.Therefore,in order to explore the hierarchical design and service of the "maintenance as one" industry for the new and old groups,the design principles of UI products for the new and old groups must be formulated first.By analyzing the cognitive characteristics of the new elderly group through big data and comparing it with the traditional elderly group,this paper distinguishes the differences of cognition and needs among the intergenerational elderly group.In particular,aiming at the common cognitive characteristics of the new elderly group,such as sense,memory and thinking,this paper concludes the following four principles of interaction design innovation:1.Augmented perceptual objects;2.Organize information for efficiency;3.Reduce the amount of interface information;4.Multi-channel sensory design.Therefore,in this paper,the new the old "curing" the structure of the interface layer,presentation layer and the optimization of interface interaction aspects introduced experience model,in view of the large data driven UI product innovation design is put forward in accordance with the interface experience model design paradigm,to let the big data in the UI product applications become more efficient,accurate and simple.