Crowd sensing three-way incentive method fusing user personality structure

• Main Authors: WANG JIAN, LIU JIA, ZHAO GUOSHENG
• Format: Patent
• Language: Chinese; English
• Published: 23.07.2024
• Subjects: CALCULATING; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

Mobile crowd sensing is a human-centered data acquisition mode, and motivation of user participation is an important research content. In the existing work, the enthusiasm of participants is mainly improved through external excitation, but an effective means for mining and analyzing individual behavior essence taking people as perception subjects from an internal excitation level is lacked. In order to solve the problem, the invention provides a three-way incentive method fusing the personality structure of the user, and aims to deeply analyze the personality structure of the user and adopt a personalized incentive mode based on individual behavior essence so as to reduce platform expenditure and improve the task completion rate. Firstly, user attribute indexes are analyzed through an entropy weight method, and personality attribute values of users are obtained; then, dividing the users according to personality membership based on a good and inferior solution distance method of dynamic reference point selecti