{"title":"Models for environmental literacy","authors":"Tivon Rice","doi":"10.1145/3450507.3457439","DOIUrl":null,"url":null,"abstract":"Models for Environmental Literacy is a series of experimental digital animations combining drone photogrammetry with A.I. generated narratives. These videos creatively and critically explore the challenges of describing a landscape, an ecosystem, or the specter of environmental collapse through human language. The project further explores how language and vision are impacted by the mediating agency of new technologies. How do we see, feel, imagine, and talk about the environment in this post-digital era, when there are indeed non-human/machine agents similarly trained to perceive \"natural\" spaces? This project explores these questions, as well as emerging relationships with environmental surveillance, drone/computer vision, and A.I.","PeriodicalId":146833,"journal":{"name":"ACM SIGGRAPH 2021 Art Gallery","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM SIGGRAPH 2021 Art Gallery","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3450507.3457439","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Models for Environmental Literacy is a series of experimental digital animations combining drone photogrammetry with A.I. generated narratives. These videos creatively and critically explore the challenges of describing a landscape, an ecosystem, or the specter of environmental collapse through human language. The project further explores how language and vision are impacted by the mediating agency of new technologies. How do we see, feel, imagine, and talk about the environment in this post-digital era, when there are indeed non-human/machine agents similarly trained to perceive "natural" spaces? This project explores these questions, as well as emerging relationships with environmental surveillance, drone/computer vision, and A.I.