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Research On Car Sharing Music System Design Based On Demand Analysis

Posted on:2019-01-13Degree:MasterType:Thesis
Country:ChinaCandidate:F Y PanFull Text:PDF
GTID:2382330545493935Subject:Design
Abstract/Summary:PDF Full Text Request
Moving in the future will become easier,more flexible and more personalized.The car will evolve from a travel tool to a smart mobile terminal.It also became the third space to carry consumers' good life.Future vehicles will be used in a shared form."Listening to music" as a recreational and leisure scene that perfectly matches the experience in the itinerary.The needs of different users for car music systems have become diversified.In order to make the car-mounted music system design for sharing cars meet the real needs of users,it is critical to effectively and accurately acquire user requirements in the early stage of design and development.The traditional user-centered design generates a series of requirements based on user surveys.It satisfies the needs of all users as much as possible,and often cannot meet the needs of a user better.Based on the analysis of user needs based on user roles,product design and development are conducted based on target users and requirements.This article studies the current car-borne music system for shared cars and finds that the current shared car music system is mainly played through a Bluetooth connection and cannot effectively respond to user needs.This paper identifies typical users through the scene segmentation,refines and builds the user role model,and uses the analytic hierarchy process to cluster user requirements refined in the user role model to obtain a typical user demand index system.Using the two-by-two comparison method,a typical user scores each indicator and processes the weight data to determine the importance of typical user requirements.According to the user's personalized recommendation of smart music,a music intelligent recommendation system for face emotion recognition in shared cars is designed.
Keywords/Search Tags:demand analysis, car sharing, car music, Face emotion recognition
PDF Full Text Request
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