Authors:
Benedikt Gollan
1
and
Alois Ferscha
2
Affiliations:
1
Research Studios Austria, Austria
;
2
Johannes Kepler University, Austria
Keyword(s):
Automatic Behavior Analysis, Movement Tracking, Pattern Recognition, Estimation of Engagement.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Artificial Intelligence
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Computer Graphics and Visualization of Physiological Data
;
Computer Vision, Visualization and Computer Graphics
;
Data Manipulation
;
Health Engineering and Technology Applications
;
Human-Computer Interaction
;
Methodologies and Methods
;
Motion and Tracking
;
Motion, Tracking and Stereo Vision
;
Neurocomputing
;
Neurotechnology, Electronics and Informatics
;
Observation, Modeling and Prediction of User Behavior
;
Pattern Recognition
;
Physiological Computing Systems
;
Sensor Networks
;
Soft Computing
;
Video and Image Analysis for Physiological Computing
Abstract:
Behavior and body language are essential components of human interaction. In this paper, we propose a meta-level representation of human behavior for interpretative, higher level applications in human-computer interaction systems called Directed Effort. A theoretical framework is described which is derived from behavioral and psychological sciences and which is designed to represent the commitment and interest of people
towards objects via behavior analysis in real-life scenarios. Directed Effort, a score which allows the interpretation of detected behavior changes is introduced as a generic measurand. Furthermore, a prototypical implementation is documented to show the potential of the computed meta-level description of behavior.