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GIS-Based Emotional Computing: A Review of Quantitative Approaches to Measure the Emotion Layer of Human–Environment Relationships
ISPRS International Journal of Geo-Information ( IF 2.8 ) Pub Date : 2020-09-15 , DOI: 10.3390/ijgi9090551
Yingjing Huang , Teng Fei , Mei-Po Kwan , Yuhao Kang , Jun Li , Yizhuo Li , Xiang Li , Meng Bian

In recent years, with the growing accessibility of abundant contextual emotion information, which is benefited by the numerous georeferenced user-generated content and the maturity of artificial intelligence (AI)-based emotional computing technics, the emotion layer of human–environment relationship is proposed for enriching traditional methods of various related disciplines such as urban planning. This paper proposes the geographic information system (GIS)-based emotional computing concept, which is a novel framework for applying GIS methods to collective human emotion. The methodology presented in this paper consists of three key steps: (1) collecting georeferenced data containing emotion and environment information such as social media and official sites, (2) detecting emotions using AI-based emotional computing technics such as natural language processing (NLP) and computer vision (CV), and (3) visualizing and analyzing the spatiotemporal patterns with GIS tools. This methodology is a great synergy of multidisciplinary cutting-edge techniques, such as GIScience, sociology, and computer science. Moreover, it can effectively and deeply explore the connection between people and their surroundings with the help of GIS methods. Generally, the framework provides a standard workflow to calculate and analyze the new information layer for researchers, in which a measured human-centric perspective onto the environment is possible.

中文翻译:

基于GIS的情感计算:衡量人与环境关系情感层的定量方法的回顾

近年来,随着大量的上下文情感信息的可访问性的增长,得益于众多地理参考用户生成的内容以及基于人工智能(AI)的情感计算技术的成熟,提出了人与环境关系的情感层用于丰富各种相关学科的传统方法,例如城市规划。本文提出了基于地理信息系统的情感计算概念,这是一种将GIS方法应用于人类集体情感的新颖框架。本文介绍的方法包括三个关键步骤:(1)收集包含情感和环境信息的地理参考数据,例如社交媒体和官方网站,(2)使用基于AI的情感计算技术(例如自然语言处理(NLP)和计算机视觉(CV))检测情感,以及(3)使用GIS工具可视化和分析时空模式。这种方法学是GIS科学,社会学和计算机科学等多学科前沿技术的巨大协同作用。此外,它可以借助GIS方法有效而深入地探索人与周围环境之间的联系。通常,该框架为研究人员提供了计算和分析新信息层的标准工作流程,其中可以对环境进行以人为中心的测量。这种方法学是GIS科学,社会学和计算机科学等多学科前沿技术的巨大协同作用。此外,它可以借助GIS方法有效而深入地探索人与周围环境之间的联系。通常,该框架为研究人员提供了计算和分析新信息层的标准工作流程,其中可以对环境进行以人为中心的测量。这种方法学是GIS科学,社会学和计算机科学等多学科前沿技术的巨大协同作用。此外,它可以借助GIS方法有效而深入地探索人与周围环境之间的联系。通常,该框架为研究人员提供了计算和分析新信息层的标准工作流程,其中可以对环境进行以人为中心的测量。
更新日期:2020-09-15
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