NDLI: Extending computational models of abstract motion with movement qualities

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Extending computational models of abstract motion with movement qualities

Content Provider	ACM Digital Library
Author	Lockyer, Matt Bartram, Lyn Schiphorst, Thecla Studd, Karen
Abstract	The affectively rich expressive capacity of movement and motion is well established in art, performance, animation and visualization but research in perception, cognitive and social psychology provides only limited insight into the visual features that underpin this richness, and artistic principles are not amenable to computational modeling. Recent research has shown the communicative potential of simple abstract motions, absent of figure, to convey affect [23] based on a limited algorithmic model manipulating basic motion dimensions such as shape, speed and direction. Evidence suggests that descriptive frameworks of human movement expression, such as Laban Movement Analysis (LMA), are effective analytical tools with established principles and models; yet the benefits and challenges of incorporating these concepts into larger frameworks of motion and animation has not been rigorously explored. We present a computational model and prototype implementation that incorporates LMA core concepts and principles with established motion algorithms such that users can represent and explore LMA concepts using abstract motions. The model is the outcome of an indepth qualitative study with Certified Movement Analysts (CMAs) exploring, creating and analyzing the potential of low-level animation features to communicate expressive qualities of movement. A more comprehensive design space includes both new parameters for manipulation and a synthesis of lower-level dimensions into the more semantic concepts of Laban principles. In this paper, we discuss the evolution of the model to incorporate these principles of human movement, next steps, and relate the potential applicability of this research to applications in art, visualization and cognition.
Starting Page	92
Ending Page	99
Page Count	8
File Format	PDF
ISBN	9781450334570
DOI	10.1145/2790994.2791008
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2015-08-14
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Motion Movement Affect Expressive model
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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