Journal article
PERFORM: Perceptual Approach for Adding OCEAN Personality to Human Motion Using Laban Movement Analysis
ACM transactions on graphics, v 36(1)
01 Feb 2017
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
A major goal of research on virtual humans is the animation of expressive characters that display distinct psychological attributes. Body motion is an effective way of portraying different personalities and differentiating characters. The purpose and contribution of this work is to describe a formal, broadly applicable, procedural, and empirically grounded association between personality and body motion and apply this association to modify a given virtual human body animation that can be represented by these formal concepts. Because the body movement of virtual characters may involve different choices of parameter sets depending on the context, situation, or application, formulating a link from personality to body motion requires an intermediate step to assist generalization. For this intermediate step, we refer to Laban Movement Analysis, which is a movement analysis technique for systematically describing and evaluating human motion. We have developed an expressive human motion generation system with the help of movement experts and conducted a user study to explore how the psychologically validated OCEAN personality factors were perceived in motions with various Laban parameters. We have then applied our findings to procedurally animate expressive characters with personality, and validated the generalizability of our approach across different models and animations via another perception study.
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Details
- Title
- PERFORM: Perceptual Approach for Adding OCEAN Personality to Human Motion Using Laban Movement Analysis
- Creators
- Funda Durupinar - Univ Penn, Philadelphia, PA 19104 USAMubbasir Kapadia - Rutgers State Univ, Dept Comp Sci, 110 Frelinghuysen Rd,Hill Ctr, Piscataway, NJ 08854 USASusan DeutschMichael Neff - Univ Calif Davis, 257 West Rittenhouse St, Philadelphia, PA 19144 USANorman I. Badler - Univ Penn, Philadelphia, PA 19104 USA
- Publication Details
- ACM transactions on graphics, v 36(1)
- Publisher
- Assoc Computing Machinery
- Number of pages
- 16
- Grant note
- W911NF-07-1-0216; W911NF-10-2-0016 / U.S. Army Research Laboratory; United States Department of Defense; US Army Research Laboratory (ARL)
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Creative Arts Therapies
- Web of Science ID
- WOS:000395473300009
- Scopus ID
- 2-s2.0-84994521868
- Other Identifier
- 991019174906404721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Computer Science, Software Engineering