Lijie Yao, Anastasia Bezerianos, Romain Vuillemot, Petra Isenberg
{"title":"Situated Visualization in Motion for Swimming","authors":"Lijie Yao, Anastasia Bezerianos, Romain Vuillemot, Petra Isenberg","doi":"arxiv-2409.07695","DOIUrl":null,"url":null,"abstract":"Competitive sports coverage increasingly includes information on athlete or\nteam statistics and records. Sports video coverage has traditionally embedded\nrepresentations of this data in fixed locations on the screen, but more\nrecently also attached representations to athletes or other targets in motion.\nThese publicly used representations so far have been rather simple and\nsystematic investigations of the research space of embedded visualizations in\nmotion are still missing. Here we report on our preliminary research in the\ndomain of professional and amateur swimming. We analyzed how visualizations are\ncurrently added to the coverage of Olympics swimming competitions and then plan\nto derive a design space for embedded data representations for swimming\ncompetitions. We are currently conducting a crowdsourced survey to explore\nwhich kind of swimming-related data general audiences are interested in, in\norder to identify opportunities for additional visualizations to be added to\nswimming competition coverage.","PeriodicalId":501541,"journal":{"name":"arXiv - CS - Human-Computer Interaction","volume":"14 2 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - CS - Human-Computer Interaction","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.07695","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Competitive sports coverage increasingly includes information on athlete or
team statistics and records. Sports video coverage has traditionally embedded
representations of this data in fixed locations on the screen, but more
recently also attached representations to athletes or other targets in motion.
These publicly used representations so far have been rather simple and
systematic investigations of the research space of embedded visualizations in
motion are still missing. Here we report on our preliminary research in the
domain of professional and amateur swimming. We analyzed how visualizations are
currently added to the coverage of Olympics swimming competitions and then plan
to derive a design space for embedded data representations for swimming
competitions. We are currently conducting a crowdsourced survey to explore
which kind of swimming-related data general audiences are interested in, in
order to identify opportunities for additional visualizations to be added to
swimming competition coverage.