How do experts observe movement?

S. Alaoui, Kristin Carlson, Shannon Cuykendall, Karen Bradley, K. Studd, T. Schiphorst
{"title":"How do experts observe movement?","authors":"S. Alaoui, Kristin Carlson, Shannon Cuykendall, Karen Bradley, K. Studd, T. Schiphorst","doi":"10.1145/2790994.2791000","DOIUrl":null,"url":null,"abstract":"Laban Movement Analysis (LMA) is an expert-based method by which Certified Movement Analysts observe and analyze movement. LMA is increasingly used in a variety of research fields, particularly when studying movement expressivity and computation where it is essential to generate an understanding of the observation process. In this paper we articulate the application of LMA as a tool for movement analysis in HCI research by using qualitative methods to deconstruct the observation process of LMA experts. We conducted a focus group in which 12 expert-participants observed and annotated videos of movement according to LMA categories. We transcribed their observation process and analyzed it using grounded theory in order to extract categories, concepts and theories that best explain and describe the process of observation in LMA. By doing so, we open research perspectives in which LMA can be integrated as a method for observation in the design of movement-based computational systems.","PeriodicalId":272811,"journal":{"name":"Proceedings of the 2nd International Workshop on Movement and Computing","volume":"86 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"20","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2nd International Workshop on Movement and Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2790994.2791000","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 20

Abstract

Laban Movement Analysis (LMA) is an expert-based method by which Certified Movement Analysts observe and analyze movement. LMA is increasingly used in a variety of research fields, particularly when studying movement expressivity and computation where it is essential to generate an understanding of the observation process. In this paper we articulate the application of LMA as a tool for movement analysis in HCI research by using qualitative methods to deconstruct the observation process of LMA experts. We conducted a focus group in which 12 expert-participants observed and annotated videos of movement according to LMA categories. We transcribed their observation process and analyzed it using grounded theory in order to extract categories, concepts and theories that best explain and describe the process of observation in LMA. By doing so, we open research perspectives in which LMA can be integrated as a method for observation in the design of movement-based computational systems.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
专家如何观察运动?
拉班运动分析(LMA)是一种基于专家的方法,通过注册运动分析师观察和分析运动。LMA越来越多地应用于各种研究领域,特别是在研究运动表达性和计算时,对观察过程的理解是必不可少的。本文通过定性方法解构LMA专家的观察过程,阐述了LMA作为运动分析工具在HCI研究中的应用。我们进行了一个焦点小组,其中12名专家参与者根据LMA类别观察和注释运动视频。我们对他们的观察过程进行转录,并用扎根的理论对其进行分析,以便提取出最能解释和描述LMA中观察过程的类别、概念和理论。通过这样做,我们打开了研究视角,其中LMA可以作为一种观察方法集成到基于运动的计算系统的设计中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Interactive Tango Milonga: designing internal experience Conceptualising interaction in live performance: reflections on 'encoded' Sound space and spatial sampler Sketches vs skeletons: video annotation can capture what motion capture cannot Towards realtime measurement of connectedness in human movement
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1