Communicating Simulated Emotional States of Robots by Expressive Movements
نویسندگان
چکیده
This research focuses on the non-verbal communication of nonandroid robots by comparing the results produced by three different emotional models: Russell’s circumplex model of affect, Tellegen-Watson-Clark model and PAD scale. The relationship between the motion of the robot and the perceived emotion is developed. The motion parameters such as velocity and acceleration are changed systematically to observe the change in the perception of affect. The embodiment is programmed to adopt the smooth human motion profile of the robot in contrast to the traditional trapezoidal velocity profile. From the results produced it can be concluded that the emotions perceived by the user is the same on all three scales, validating the reliability of all the three emotional scale models and also of the emotions perceived by the user. Moreover the selected motion parameters of velocity and acceleration are linked with the change of perceived emotions.
منابع مشابه
Communicating emotions and mental states to robots in a real time parallel framework using Laban movement analysis
This paper presents a parallel real time framework for emotions and mental states extraction and recognition from video fragments of human movements. In the experimental setup human hands are tracked by evaluation of moving skin-colored objects. The tracking analysis demonstrates that acceleration and frequency characteristics of the traced objects are relevant for classification of the emotion...
متن کاملGeneration of Whole-Body Expressive Movement Based on Somatical Theories
An automatic choreography method to generate lifelike body movements is proposed. This method is based on somatics theories that are conventionally used to evaluate human’s psychological and developmental states by analyzing the body movement. The idea of this paper is to use the theories in the inverse way: to facilitate generation of artificial body movements that are plausible regarding evol...
متن کاملIt's Not the Way You Look, It's How You Move: Validating a General Scheme for Robot Affective Behaviour
In the emerging world of human-robot interaction, people and robots will work together to achieve joint objectives. This paper discusses the design and validation of a general scheme for creating emotionally expressive behaviours for robots, in order that people might better interpret how a robot collaborator is succeeding or failing in its work. It exemplifies a unified approach to creating ro...
متن کاملUsing BELBIC based optimal controller for omni-directional threewheel robots model identified by LOLIMOT
In this paper, an intelligent controller is applied to control omni-directional robots motion. First, the dynamics of the three wheel robots, as a nonlinear plant with considerable uncertainties, is identified using an efficient algorithm of training, named LoLiMoT. Then, an intelligent controller based on brain emotional learning algorithm is applied to the identified model. This emotional l...
متن کاملExpressive Speech Driven Talking Avatar Synthesis with DBLSTM Using Limited Amount of Emotional Bimodal Data
One of the essential problems in synthesizing expressive talking avatar is how to model the interactions between emotional facial expressions and lip movements. Traditional methods either simplify such interactions through separately modeling lip movements and facial expressions, or require substantial high quality emotional audio-visual bimodal training data which are usually difficult to coll...
متن کامل