Abstract
This paper explores how artificial intelligence (AI) technology can contribute to achieve progress on good health and well-being, one of the United Nations' 17 Sustainable Development Goals. It is estimated that one in ten of the global population lived with a mental disorder. Inspired by studies showing that engaging and viewing beautiful natural images can make people feel happier and less stressful, lead to higher emotional well-being, and can even have therapeutic values, we explore how AI can help to promote mental health by developing automatic algorithms for finding beautiful and happy images. We first construct a large image database consisting of nearly 20K very high resolution colour photographs of natural scenes where each image is labelled with beautifulness and happiness scores by about 10 observers. Statistics of the database shows that there is a good correlation between the beautifulness and happiness scores which provides anecdotal evidence to corroborate that engaging beautiful natural images can potentially benefit mental well-being. Building on this unique database, the very first of its kind, we have developed a deep learning based model for automatically predicting the beautifulness and happiness scores of natural images. Experimental results are presented to show that it is possible to develop AI algorithms to automatically assess an image's beautifulness and happiness values which can in turn be used to develop applications for promoting mental health and well-being.
Abstract (translated)
本文探讨了人工智能（AI）技术如何为实现可持续发展的联合国17项可持续发展目标之一——改善健康和福祉作出贡献。据估计，全球有十分之一的人口患有某种精神疾病。受到研究显示，欣赏美丽自然图像可以让人感到更快乐、更轻松，从而提高情感幸福感，甚至具有治疗价值的研究启发，我们探讨了AI如何通过开发自动寻找美丽和快乐图像的算法来促进心理健康。我们首先构建了一个包含近20K张高分辨率自然场景照片的大型图像数据库，每张照片由大约10个观察家对其美丽度和快乐度进行评分。数据库统计数据显示，美丽度和快乐度之间存在良好的相关性，这提供了支持美丽自然图像可能对心理健康产生益处的 anecdotal证据。在此基础上，我们开发了世界上第一个基于深度学习的图像模型，用于自动预测自然图像的美感和快乐度。实验结果表明，可以开发AI算法来自动评估图像的美感和快乐度，从而可以用于开发促进精神和健康应用程序。
URL
https://arxiv.org/abs/2404.18109
