Paper Info
Title
Proactive Robots With the Perception of Nonverbal Human Behavior: A Review.
Abstract
Intelligent robot companions contribute significantly in improving living standards in the modern society. Therefore, human-like decision making skills are sought after during the design of such robots. On the one hand, such features enable the robot to be easily handled by its non-expert human user. On the other hand, the robot will have the capability of dealing with humans without causing any disturbance by the robot's behavior. Mimicing human emotional intelligence is one of the best and reasonable ways of laying the foundation for robotic emotional intelligence. As robots are widely deployed in social environments, perception of the situation or intentions of a user prior to an interaction is required to be proactive. Proactive robots are required to understand what is communicated by the human body language prior to approaching a human. Social constraints in an interaction could be demolished by this assessment in this regard. In this review, we incorporate various findings of human-robot interaction, social robotics and psychophysiology to assess intelligent systems which were capable of evaluating the emotional state of humans prior to an interaction. Second, we identify the cues and evaluation techniques that were utilized by such intelligent agents to simulate and evaluate the suitability of a proactive interaction. Available literature has been evaluated to distinguish limitations of existing methods and suggest possible improvements. These limitations, guiding principles to be adhered to and suggested improvements, are presented as an outcome of the review.
Year
DOI
Venue
2019
10.1109/ACCESS.2019.2921986
IEEE ACCESS
Keywords
Field
DocType
Interaction initiation,nonverbal cues,context-awareness,social robots,human-robot interaction,Interaction initiation,nonverbal cues,context-awareness,social robots,human-robot interaction
Computer science,Nonverbal communication,Human–computer interaction,Robot,Perception,Distributed computing
Journal
Volume
ISSN
Citations 
7
2169-3536
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
H. P. C. Sirithunge102.37
A. G. Jayasekara235.45
D. P. Chandima302.70