The formation of user scale is the key to the rapid development of China"s research crowdsourcing platforms in their early stages. Therefore, starting from meeting user needs, accurate analysis of user psychology can provide the most effective research support for platform optimization and development. This article utilizes the concept and research methods of collaborative incentive theory, based on UTAUT, to study the model. Starting from multiple dimensions such as the source of user incentive subjects, incentive motivation sources, incentive content, incentive direction, and social evaluation mode, it constructs an evaluation index system for the synergistic incentive effect influencing factors of bilateral users (employers and contractors) of scientific research crowdsourcing platforms, And the empirical test results were obtained by distributing survey questionnaires to the first batch of 14 bilateral users of research crowdsourcing platforms recognized by the Guangdong Provincial Department of Science and Technology. The results show that performance expectations, social influence, and promotion conditions all have a significant positive motivating effect on bilateral users, while paying expectations has a significant positive motivating effect on outsourcing users. The analysis based on the factors influencing the collaborative incentives of bilateral users reflects users" expectations for the use of research crowdsourcing platforms, and points out that the future development of the platform must focus on strengthening user stickiness and maintaining competitive advantages from three aspects: intelligence, marketization, and socialization. Keywords: Research crowdsourcing platform; Collaborative incentive effect; Bilateral perspective