Alle Publikationen
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2012
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(2012): Employing Textual and Facial Emotion Recognition to Design an Affective Tutoring System. In: Turkish Online Journal of Educational Technology - TOJET 11 (4), S. 418-426. Online verfügbar unter https://eric.ed.gov/?id=EJ989317, zuletzt geprüft am 22.11.2019
Abstract: Emotional expression in Artificial Intelligence has gained lots of attention in recent years, people applied its affective computing not only in enhancing and realizing the interaction between computers and human, it also makes computer more humane. In this study, emotional expressions were applied into intelligent tutoring system, where learners’ emotional expression in learning process was observed in order to give an appropriate feedback. Emotional intelligent not only gives high flexibility to the interaction of tutoring system, it also to deepen its level of human interaction. This study uses dual-mode operation: facial expression recognition, and text semantics as the main elements in affective computing to understand users’ emotions. Text semantics are used to understand learners’ learning status, and the results would contribute to course management agents in order to choose the most appropriate teaching strategies and feedback to the users. Facial expression recognition allows interactive agents to provide users a complete sound and animation feedback. (Contains 5 tables and 3 figures.)
Keywords: Affective Behavior, Animation, Artificial intelligence, Bedienung & Handhabung, Computer Assisted Instruction, Computer Software Evaluation, Computer System Design, Educational Technology, Feedback (Response), Focus Groups, Foreign Countries, Grounded Theory, Intelligent tutoring systems, Man machine systems, Mixed Methods Research, Multimedia Instruction, Natural Language Processing, Nonverbal communication, Programming, Psychological Patterns, Rating Scales, Teaching Methods, usability, Use Studies 2010
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(2010) : Secondary action in robot motion: 19th International Symposium in Robot and Human Interactive Communication: Viareggio, Italy: IEEE, S. 310-315
DOI: https://doi.org/10.1109/ROMAN.2010.5598730 Abstract: Secondary action, a concept borrowed from character animation, improves the animation realism by augmenting natural, passive motion to primary action. We use dynamic simulation to induce three techniques of secondary motion for robot hardware, which exploit actuation passivity to overcome hardware constraints and change the dynamic perception of the robot and its motion characteristics. Results of secondary motion due to internal and external forces are presented including discussion on how to choose the appropriate technique for a particular application.
2007
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(2007) : Towards Realistic Facial Behaviour in Humanoids - Mapping from Video Footage to a Robot Head: 2007 IEEE 10th International Conference on Rehabilitation Robotics: Piscataway NJ: IEEE, S. 833-840
DOI: https://doi.org/10.1109/ICORR.2007.4428521 Abstract: Rehabilitation robotics and physical therapy could greatly benefit from engaging and motivating, robotic caregivers which respond in accordance to patients’ emotional and social cues. Recent studies indicate that human-machine interactions are more believable and memorable when a physical entity is present, provided that the machine behaves in a realistic manner. It is desirable to adopt face-to-face communication because it is the most natural and efficient way of exchanging information and does not require users to alter their habits. Towards this end, we describe a process for animating a robot head, based on video input of a human head. We map from the 2D coordinates of feature points into the robot’s servo space using Partial Least Squares (PLS). Learning is done using a small set of keyframes manually created by an animator. The method is efficient, robust to tracking errors and independent of the scale of the face being tracked.
Keywords: Animation, Computer animation, Facial animation, human-machine interactions, Humanoid Robots, Humanoids, Humans, ieee xplore, Künstliche Intelligenz, Learning, learning (artificial intelligence), Magnetic heads, Man machine systems, medical robotics, Medical treatment, Orbital robotics, partial least squares, patient rehabilitation, physical therapy, realistic facial behaviour, Rehabilitation robotics, robot head, Robot kinematics, robot servo space, servomechanisms, video footage 2005
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(2005) : Human perspective on affective robotic behavior: a longitudinal study: 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems: Edmonton, AB, Canada, 2-6 August 2005: 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems: Edmonton, Alta., Canada: 8/2/2005 - 8/2/2005. IEEE/RSJ International Conference on Intelligent Robots and Systems; Institute of Electrical and Electronics Engineers: Piscataway, N.J: IEEE Operations Center, S. 1444-1451
Abstract: Humans are inherently social creatures, and affect plays no small role in their social nature. We use our emotional expressions to communicate our internal state, our moods assist or hinder our interactions on a daily basis, we constantly form lasting attitudes towards others, and our personalities make us uniquely predisposed to perform certain tasks. In this paper, we present a framework under development that combines these four areas of affect to influence robotic behavior, and describe initial results of a longitudinal human-robot interaction study. The study was designed to inform the development of the framework in order to increase ease and pleasantness of human-robot interaction.
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