Impact of elicited mood on movement expressivity during a fitness task.
The purpose of the present study was to evaluate the impact of four mood conditions (control, positive, negative, aroused) on movement expressivity during a fitness task. Motion capture data from twenty individuals were recorded as they performed a predefined motion sequence. Moods were elicited using task-specific scenarii to keep a valid context. Movement qualities inspired by Effort-Shape framework (Laban & Ullmann, 1971) were computed (i.e., Impulsiveness, Energy, Directness, Jerkiness and Expansiveness). A reduced number of computed features from each movement quality was selected via Principal Component Analyses. Analyses of variance and Generalized Linear Mixed Models were used to identify movement characteristics discriminating the four mood conditions. The aroused mood condition was strongly associated with increased mean Energy compared to the three other conditions. The positive and negative mood conditions showed more subtle differences interpreted as a result of their moderate activation level. Positive mood was associated with more impulsive movements and negative mood was associated with more tense movements (i.e., reduced variability and increased Jerkiness). Findings evidence the key role of movement qualities in capturing motion signatures of moods and highlight the importance of task context in their interpretations.
Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur, rue John von Neumann, Orsay 91403, France. Electronic address: tom.giraud.utc@gmail.com.
Tom
T
Giraud
Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur, rue John von Neumann, Orsay 91403, France. Electronic address: florian.focone@u-psud.fr.
Florian
F
Focone
CIAMS, Université Paris-Sud, Université Paris-Saclay, 91405 Orsay Cedex, France; CIAMS, Université d'Orléans, 45067 Orléans, France. Electronic address: brice.isableu@u-psud.fr.
Brice
B
Isableu
Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur, rue John von Neumann, Orsay 91403, France. Electronic address: martin@limsi.fr.
Jean-Claude
JC
Martin
Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur, rue John von Neumann, Orsay 91403, France. Electronic address: demulier@limsi.fr.
Virginie
V
Demulier
D000328:Adult; D000339:Affect / Q000502:physiology*; D001696:Biomechanical Phenomena / Q000502:physiology; D005260:Female; D006801:Humans; D008297:Male; D009068:Movement / Q000502:physiology*; D009341:Negativism; D010809:Physical Fitness / Q000502:physiology*; D025341:Principal Component Analysis; D055815:Young Adult
Expressivity; Fitness coach; Kinematics analysis; Mood; Movement quality