{"title":"Balance trees: a new visual representation for body balance","authors":"S. Grover, Simon Johnson","doi":"10.1145/3098279.3122144","DOIUrl":null,"url":null,"abstract":"This case study describes the results from a user-centric research project developing new visual representations of body balance to accompany a sway measurement mobile application. The study consisted of a short initial interview with participants, followed by 30 days of home usage of our Balance iOS application by the participants and concluded with a 90 minute interview at the participant's homes. In the second interview, real participant data visualized as spark-lines was presented back to the users to initiate discussion about their experiences, followed by a card sorting activity to rank various visualization options. As a result, a composite visual representation which focuses on longer term patterns and communicates four body balance attributes: sway score, symmetry, sway distribution and variability was developed to meet our users' needs.","PeriodicalId":120153,"journal":{"name":"Proceedings of the 19th International Conference on Human-Computer Interaction with Mobile Devices and Services","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2017-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 19th International Conference on Human-Computer Interaction with Mobile Devices and Services","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3098279.3122144","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
This case study describes the results from a user-centric research project developing new visual representations of body balance to accompany a sway measurement mobile application. The study consisted of a short initial interview with participants, followed by 30 days of home usage of our Balance iOS application by the participants and concluded with a 90 minute interview at the participant's homes. In the second interview, real participant data visualized as spark-lines was presented back to the users to initiate discussion about their experiences, followed by a card sorting activity to rank various visualization options. As a result, a composite visual representation which focuses on longer term patterns and communicates four body balance attributes: sway score, symmetry, sway distribution and variability was developed to meet our users' needs.