{"title":"VIS顶点演讲:可视化的人文时间和年表","authors":"J. Drucker","doi":"10.1109/vast47406.2019.8986953","DOIUrl":null,"url":null,"abstract":"The charts, graphs, network diagrams, and other graphics generally grouped under the rubric “information visualizations” were almost all developed to serve the empirical, statistical, or social sciences. They use explicit quantities, standard metrics, and unambiguous visual elements to create clear, concise, legible messages. The terms on which visualizations are assessed tends to value these properties-and to be premised on the idea that the best graphics are those that “show the data”-as if data had inherent form. The difficulty with this entire set of assumptions is that they do not establish foundations for visualizing complex historical events, narrative discourse, or human experience as it is expressed in documents and artifacts where “data” are not self-evident or standard. The humanities, in adopting visualizations from empirically based fields, has failed to develop methods that engage with the interpretative aspects of its own discourse. Using three case studies-one from news narratives, one from mixed historical chronologies, one from imagined crisis scenarios-this paper argues for the development of visualizations capable of showing variable timescales, comparative chronology, and partial and unfolding temporalities. The basic components of these systems are non-linear, affective, and unable to be standardized in ways that trouble empirical approaches but serve interpretative understandings of experience and its representation in cultural expressions. The questions of how such systems might be designed and where they might have useful applications will be raised to generate discussion.","PeriodicalId":168094,"journal":{"name":"IEEE Conference on Visual Analytics Science and Technology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"VIS Capstone Address: Visualizing Temporality and Chronologies for the Humanities\",\"authors\":\"J. Drucker\",\"doi\":\"10.1109/vast47406.2019.8986953\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The charts, graphs, network diagrams, and other graphics generally grouped under the rubric “information visualizations” were almost all developed to serve the empirical, statistical, or social sciences. They use explicit quantities, standard metrics, and unambiguous visual elements to create clear, concise, legible messages. The terms on which visualizations are assessed tends to value these properties-and to be premised on the idea that the best graphics are those that “show the data”-as if data had inherent form. The difficulty with this entire set of assumptions is that they do not establish foundations for visualizing complex historical events, narrative discourse, or human experience as it is expressed in documents and artifacts where “data” are not self-evident or standard. The humanities, in adopting visualizations from empirically based fields, has failed to develop methods that engage with the interpretative aspects of its own discourse. Using three case studies-one from news narratives, one from mixed historical chronologies, one from imagined crisis scenarios-this paper argues for the development of visualizations capable of showing variable timescales, comparative chronology, and partial and unfolding temporalities. The basic components of these systems are non-linear, affective, and unable to be standardized in ways that trouble empirical approaches but serve interpretative understandings of experience and its representation in cultural expressions. The questions of how such systems might be designed and where they might have useful applications will be raised to generate discussion.\",\"PeriodicalId\":168094,\"journal\":{\"name\":\"IEEE Conference on Visual Analytics Science and Technology\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Conference on Visual Analytics Science and Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/vast47406.2019.8986953\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Conference on Visual Analytics Science and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/vast47406.2019.8986953","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
VIS Capstone Address: Visualizing Temporality and Chronologies for the Humanities
The charts, graphs, network diagrams, and other graphics generally grouped under the rubric “information visualizations” were almost all developed to serve the empirical, statistical, or social sciences. They use explicit quantities, standard metrics, and unambiguous visual elements to create clear, concise, legible messages. The terms on which visualizations are assessed tends to value these properties-and to be premised on the idea that the best graphics are those that “show the data”-as if data had inherent form. The difficulty with this entire set of assumptions is that they do not establish foundations for visualizing complex historical events, narrative discourse, or human experience as it is expressed in documents and artifacts where “data” are not self-evident or standard. The humanities, in adopting visualizations from empirically based fields, has failed to develop methods that engage with the interpretative aspects of its own discourse. Using three case studies-one from news narratives, one from mixed historical chronologies, one from imagined crisis scenarios-this paper argues for the development of visualizations capable of showing variable timescales, comparative chronology, and partial and unfolding temporalities. The basic components of these systems are non-linear, affective, and unable to be standardized in ways that trouble empirical approaches but serve interpretative understandings of experience and its representation in cultural expressions. The questions of how such systems might be designed and where they might have useful applications will be raised to generate discussion.