The Perceptual Consistency and Association of the LMA Effort Elements

IF 1.9 4区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING ACM Transactions on Applied Perception Pub Date : 2022-01-31 DOI:10.1145/3473041
Hyejin Kim, Michael Neff, Sung-Hee Lee
{"title":"The Perceptual Consistency and Association of the LMA Effort Elements","authors":"Hyejin Kim, Michael Neff, Sung-Hee Lee","doi":"10.1145/3473041","DOIUrl":null,"url":null,"abstract":"\n Laban Movement Analysis (LMA) and its Effort element provide a conceptual framework through which we can observe, describe, and interpret the intention of movement. Effort attributes provide a link between how people move and how their movement communicates to others. It is crucial to investigate the perceptual characteristics of Effort to validate whether it can serve as an effective framework to support a wide range of applications in animation and robotics that require a system for creating or perceiving expressive variation in motion. To this end, we first constructed an Effort motion database of short video clips of five different motions:\n walk, sit down, pass, put, wave\n performed in eight ways corresponding to the extremes of the Effort elements. We then performed a perceptual evaluation to examine the perceptual\n consistency\n and perceived\n associations\n among Effort elements:\n Space (Indirect/Direct), Time (Sustained/Sudden), Weight (Light/Strong),\n and\n Flow (Free/Bound)\n that appeared in the motion stimuli. The results of the perceptual consistency evaluation indicate that although the observers do not perceive the LMA Effort element 100% as intended, true response rates of seven Effort elements are higher than false response rates except for\n light\n Effort. The perceptual consistency results showed varying tendencies by motion. The perceptual association between LMA Effort elements showed that a single LMA Effort element tends to co-occur with the elements of other factors, showing significant correlation with one or two factors (e.g., indirect and free, light and free).\n","PeriodicalId":50921,"journal":{"name":"ACM Transactions on Applied Perception","volume":null,"pages":null},"PeriodicalIF":1.9000,"publicationDate":"2022-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM Transactions on Applied Perception","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1145/3473041","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, SOFTWARE ENGINEERING","Score":null,"Total":0}
引用次数: 0

Abstract

Laban Movement Analysis (LMA) and its Effort element provide a conceptual framework through which we can observe, describe, and interpret the intention of movement. Effort attributes provide a link between how people move and how their movement communicates to others. It is crucial to investigate the perceptual characteristics of Effort to validate whether it can serve as an effective framework to support a wide range of applications in animation and robotics that require a system for creating or perceiving expressive variation in motion. To this end, we first constructed an Effort motion database of short video clips of five different motions: walk, sit down, pass, put, wave performed in eight ways corresponding to the extremes of the Effort elements. We then performed a perceptual evaluation to examine the perceptual consistency and perceived associations among Effort elements: Space (Indirect/Direct), Time (Sustained/Sudden), Weight (Light/Strong), and Flow (Free/Bound) that appeared in the motion stimuli. The results of the perceptual consistency evaluation indicate that although the observers do not perceive the LMA Effort element 100% as intended, true response rates of seven Effort elements are higher than false response rates except for light Effort. The perceptual consistency results showed varying tendencies by motion. The perceptual association between LMA Effort elements showed that a single LMA Effort element tends to co-occur with the elements of other factors, showing significant correlation with one or two factors (e.g., indirect and free, light and free).
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
LMA努力要素的知觉一致性与关联
拉班动作分析(LMA)及其努力元素提供了一个概念框架,通过这个框架,我们可以观察、描述和解释动作的意图。努力属性在人们如何运动和他们的运动如何与他人交流之间提供了联系。至关重要的是要研究努力的感知特征,以验证它是否可以作为一个有效的框架来支持动画和机器人中的广泛应用,这些应用需要一个系统来创建或感知运动中的表达变化。为此,我们首先构建了一个Effort动作数据库,其中包含五种不同动作的短视频片段:步行、坐下、通过、放置、摆动,以八种方式分别对应Effort元素的极值。然后,我们进行了感知评估,以检查运动刺激中出现的努力元素之间的感知一致性和感知关联:空间(间接/直接)、时间(持续/突然)、重量(轻/强)和流动(自由/受限)。知觉一致性评价结果表明,尽管观察者对LMA努力要素的感知并非100%达到预期,但除轻微努力外,七个努力要素的真实反应率均高于错误反应率。知觉一致性结果表现出不同运动的趋势。LMA努力要素之间的知觉关联表明,单个LMA努力要素往往与其他因素的要素共同出现,与一个或两个因素(如间接与自由、轻与自由)表现出显著的相关性。
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
ACM Transactions on Applied Perception
ACM Transactions on Applied Perception 工程技术-计算机:软件工程
CiteScore
3.70
自引率
0.00%
发文量
22
审稿时长
12 months
期刊介绍: ACM Transactions on Applied Perception (TAP) aims to strengthen the synergy between computer science and psychology/perception by publishing top quality papers that help to unify research in these fields. The journal publishes inter-disciplinary research of significant and lasting value in any topic area that spans both Computer Science and Perceptual Psychology. All papers must incorporate both perceptual and computer science components.
期刊最新文献
Virtual Reality Audio Game for Entertainment & Sound Localization Training The Impact of Nature Realism on the Restorative Quality of Virtual Reality Forest Bathing Color Theme Evaluation through User Preference Modeling Understanding the Impact of Visual and Kinematic Information on the Perception of Physicality Errors Decoding Functional Brain Data for Emotion Recognition: A Machine Learning Approach
×
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