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Abstract User feedback in interaction is an important part in terms of user innovation.Based on need satisfaction theory, the impact of feedback from other users on individual innovation contribution degree in open innovation community are studied.The quantity and quality of the feedback are studied to verify how this two aspects affect individual innovation contribution degree by using data mining in typical open innovation community——Local Motors.The results showed that: the quantity and quality of feedback have significant effect on individual innovation contribution degree, the number of feedback has a significant positive effect on individual innovation contribution degree.Feedback rate and user diversity have a significant negative impact on individual innovation contribution degree, Feedback length and feedback support documents have no effect on individual innovation contribution degree, at the same time, the study finds that positive emotion has no regulatory effect between user feedback and individual innovation contribution degree.
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