학술논문

Guest Editorial Behavior Understanding and Developmental Robotics
Document Type
Periodical
Source
IEEE Transactions on Autonomous Mental Development IEEE Trans. Auton. Mental Dev. Autonomous Mental Development, IEEE Transactions on. 6(2):77-79 Jun, 2014
Subject
Computing and Processing
Signal Processing and Analysis
Special issues and sections
Robots
Semantics
Behavioral science
Human factors
Activity recognition
affective computing
attention
developmental learning
human behavior understanding
learning by demonstration
nonverbal communication
Language
ISSN
1943-0604
1943-0612
Abstract
The scientific, technological, and application challenges that arise from the mutual interaction of developmental robotics and computational human behavior understanding give rise to two different perspectives. Robots need to be capable to learn dynamically and incrementally how to interpret, and thus understand multimodal human behavior, which means behavior analysis can be performed for developmental robotics. On the other hand, behavior analysis can also be performed through developmental robotics, since developmental social robots can offer stimulating opportunities for improving scientific understanding of human behavior, and especially to allow a deeper analysis of the semantics and structure of human behavior. The contributions to the Special Issue explore these two perspectives.