TY - GEN
T1 - Tutorial on Movement Notation
T2 - 19th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2024
AU - LaViers, Amy
AU - Maguire, Cat
AU - Wang, James Z.
AU - Tsachor, Rachelle
N1 - Publisher Copyright:
© 2024 Copyright held by the owner/author(s)
PY - 2024/3/11
Y1 - 2024/3/11
N2 - How do we make a machine that indicates changes to its internal state, e.g., status, goals, attitude, or even emotion, through changes in movement profiles? This workshop will pose a possible direction toward such ends that leverages movement notation as a source for clearly defining abstract concepts of similarity and symbolic representation of the parts and patterns of movement - in order to identify, record and interpret patterns of human movement on both the micro and macro levels. First, we will move together. This will activate an innate ability to imitate each other and, in doing so, illuminate the principal components of Laban/Bartenieff Movement Studies - a field comprised of Laban Movement Analysis and Bartenieff Fundamentals - and the Body, Effort, Shape, Space, and Time (BESST) System of movement analysis. This system of work, deriving from dance and physical therapy practices, which is often leveraged in HRI research, is difficult to absorb solely from a textbook; thus, a key value proposition of the workshop is in its embodied, situated nature that can be supplemented by textbooks, including a newly released book from MIT Press authored by the workshop organizers. Next, we will try to write down what we're doing. A set of symbols for describing elements of the BESST System, which seem to be particularly perceptually meaningful to human observers, will be presented so that movement ideas can be notated and, thus, translated between bodies. We will explore both Labanotation and a related “motif”-style notation. This workshop is supported by NSF grant numbers 2234195 and 2234197.
AB - How do we make a machine that indicates changes to its internal state, e.g., status, goals, attitude, or even emotion, through changes in movement profiles? This workshop will pose a possible direction toward such ends that leverages movement notation as a source for clearly defining abstract concepts of similarity and symbolic representation of the parts and patterns of movement - in order to identify, record and interpret patterns of human movement on both the micro and macro levels. First, we will move together. This will activate an innate ability to imitate each other and, in doing so, illuminate the principal components of Laban/Bartenieff Movement Studies - a field comprised of Laban Movement Analysis and Bartenieff Fundamentals - and the Body, Effort, Shape, Space, and Time (BESST) System of movement analysis. This system of work, deriving from dance and physical therapy practices, which is often leveraged in HRI research, is difficult to absorb solely from a textbook; thus, a key value proposition of the workshop is in its embodied, situated nature that can be supplemented by textbooks, including a newly released book from MIT Press authored by the workshop organizers. Next, we will try to write down what we're doing. A set of symbols for describing elements of the BESST System, which seem to be particularly perceptually meaningful to human observers, will be presented so that movement ideas can be notated and, thus, translated between bodies. We will explore both Labanotation and a related “motif”-style notation. This workshop is supported by NSF grant numbers 2234195 and 2234197.
UR - http://www.scopus.com/inward/record.url?scp=85188056156&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85188056156&partnerID=8YFLogxK
U2 - 10.1145/3610978.3638169
DO - 10.1145/3610978.3638169
M3 - Conference contribution
AN - SCOPUS:85188056156
T3 - ACM/IEEE International Conference on Human-Robot Interaction
SP - 1332
EP - 1334
BT - HRI 2024 Companion - Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction
PB - IEEE Computer Society
Y2 - 11 March 2024 through 15 March 2024
ER -