Enhancing Collaborative Human-Robot Interaction Through Physiological-Signal Based Communication
نویسندگان
چکیده
In order to develop a friendly and safe interaction between humans and robots, it is essential for the robot to evaluate users’ affective states and respond accordingly. This paper investigates the use of physiological signals to estimate human affective states during a Human-Robot Interaction (HRI) task. We focus on characterizing physiological responses and understanding how affective states evolve in a collaborative human-robot task. We propose to both design a model that maps physiological signals to affective states in real time and design a methodology for the robot to exhibit an appropriate behavior during the task in response to estimated changes in affective states.
منابع مشابه
Affect-sensitive human-robot cooperation-theory and experiments
A novel affect-sensitive human-robot cooperative framework is presented in this paper. Peripheral physiological indices are measured through wearable biofeedback sensors to detect the affective states of the human. Affect recognition is performed through both quantitative and qualitative analyses. A subsumption control architecture that is sensitive to the affective states of the human is propo...
متن کاملAn Experimental Study on Blinking and Eye Movement Detection via EEG Signals for Human-Robot Interaction Purposes Based on a Spherical 2-DOF Parallel Robot
Blinking and eye movement are one of the most important abilities that most people have, even people with spinal cord problem. By using this ability these people could handle some of their activities such as moving their wheelchair without the help of others. One of the most important fields in Human-Robot Interaction is the development of artificial limbs working with brain signals. The purpos...
متن کاملA New Approach to Implicit Human-Robot Interaction Using Affective Cues
It is well known that in social interactions, implicit communication between the communicators plays a significant role. It would be immensely useful to have a robotic system that is capable of such implicit communication with the operator and can modify its behavior if required. This paper presents a framework for human-robot interaction in which the operator's physiological signals were analy...
متن کاملFacilitating Mental Modeling in Collaborative Human-Robot Interaction through Adverbial Cues
Mental modeling is crucial for natural humanrobot interactions (HRI). Yet, effective mechanisms that enable reasoning about and communication of mental states are not available. We propose to utilize adverbial cues, routinely employed by humans, for this goal and present a novel algorithm that integrates adverbial modifiers with belief revision and expression, phrasing utterances based on Grice...
متن کاملGroup Awareness Widgets for Enhancing Social Interaction in Computer-supported Collaborative Learning Environments: Design and Implementation
1 Karel Kreijns, Open University of the Netherlands, Faculty of Technical Sciences, Heerlen, The Netherlands, [email protected] 2 Paul A. Kirschner, Open University of the Netherlands, Educational Technology Expertise Center, Heerlen, The Netherlands, [email protected] Abstract Our research on enhancing and fostering social interaction in asynchronous distributed learning groups (DLGs) u...
متن کامل