Research on The Classification and Application of Social Emotional Information in Water-saving Education Based on Facial Recognition Technology

Water scarcity is a worldwide problem that is closely aligned with the United Nations’ Sustainable Development Goals. Education is considered to be an effective means to promote people’s participation in water conservation. So far, emotional and moral education in water-saving education is important and emotions have been used to promote various pro-environmental behaviors, but researchers have rarely discussed how emotions affect water-saving behavior from the social level in water-saving education. This research is trying to use facial recognition technology to assist psychology to categories individual’s social emotions and analyze individual’s psychological characteristics in front of certain water-saving situations in terms of emotion. This research uses facial recognition technology, to recognize mood swings automatically caused by when different pictures were presented. It proves that pictures of specific scenes can cause different social emotions between individuals based on different experiments. Eventually, a set of positive and negative social-emotional pictures were selected. It not only provides a new measurement method for future research on social emotions, but also provides a new understanding of classroom teaching and outdoor teaching in water-saving education, and also provides theoretical support for the compilation of water-saving education textbooks.