Proposal of Collective Intelligence Aggregation Method Using Social Buttons and Weighted Average

Abstract

This paper propose collective intelligence aggregation method using aggregated data collected by social buttons and weighted average as one method of extracting opinions useful for decision making from information on the platform. This proposal is based on the premise of communicating about program planning, achievement, and evaluation on the Web platform, collecting opinions from participants and complying with the conditions under which collective intelligence is expressed, and expressing approval to opinions and using weighted average in order to realize the evaluation. By using this method, good quality opinions can be extracted with a process that has a high sense of satisfaction. And Both improvement of accuracy of decision making and improvement of belonging awareness of participation are expected. A questionnaire survey was also conducted from 16 students who frequently use the Web platform in order to ascertain the adequacy of opinions and approval collection methods in the proposal and reported these result together.