Alle Publikationen
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2019
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(2019) : Robots in Need: Acquiring Assistance with Emotion: 2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI): Daegu, Korea: IEEE, S. 706-708
DOI: https://doi.org/10.1109/HRI.2019.8673081 Abstract: There will always be occasions where robots require assistance from humans. Understanding what motivates people to help a robot, and what effect this interaction has on an individual will be essential in successfully integrating robots into our society. Emotions are important in motivating prosocial behavior between people, and therefore may also play a large role in human-robot interaction. This research explores the role of emotion in motivating people to help a robot and some of the ethical issues that arise as a result, with the ultimate aim of developing suitable methods for robots to interact with humans to acquire assistance.
2012
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(2012) : Using psychophysiological feedback to enhance physical human robot interaction in a cooperative scenario: 2012 4th IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob): 2012 4th IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob): Rome, Italy: IEEE, S. 1176-1181
DOI: https://doi.org/10.1109/BioRob.2012.6290845 Abstract: ”Human state aware” systems, may be able to improve physical human-robot interaction (pHRI) by adapting their behavior and cooperation level accordingly to human psychophysiological feedback. This paper reviews the impact of the emotions on the motor control performance, and studies the possibility of improving the perceived skill/challenge relation on a multimodal neural rehabilitation scenario. For this purpose, a biocooperative controller that modulate the assistance given by a robotic haptic interface in reaction to undesirable physical and mental states was designed. Open and closed loop experiments made over eleven non impaired subjects, shows that psychophisiological feedback estimates, can help considerably on improving pHRI in a cooperative scenario.
2011
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(2011) : Taking into account emotions in mixed human/agent systems for improving collaborative work: Proceedings of the 2011 15th International Conference on Computer Supported Cooperative Work in Design (CSCWD): Proceedings of the 2011 15th International Conference on Computer Supported Cooperative Work in Design (CSCWD): Lausanne, Switzerland: IEEE, S. 854-857
DOI: https://doi.org/10.1109/CSCWD.2011.5960218 Abstract: Interacting with other persons implies having appropriate reactions to their actions. In the professional field, inappropriate responses can be very prejudicial. Many studies point out the importance of emotions in the construct of behavioral responses. This article proposes a model of emotional, social and cognitive Personal Assistant agent that can help its user to avoid conflicts.
2008
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(2008) : Can I be of assistance? The intelligence behind an assistive robot: 2008 IEEE International Conference on Robotics and Automation: 2008 IEEE International Conference on Robotics and Automation: Pasadena, CA, USA: IEEE, S. 3564-3569
DOI: https://doi.org/10.1109/ROBOT.2008.4543756 Abstract: The social interaction, guidance and support that a socially assistive robot can provide a person can be very beneficial to patient-centered care. However, there are a number of conundrums that must be addressed in designing such a robot. This work addresses two main limitations in the development of intelligent task-driven socially assistive robots: (i) recognition and identification of human gesticulation as a source of determining the affective state of a person, and (ii) robotic control architecture design and implementation with explicit social and assistive task functionalities. In this paper, the development of a unique task-driven robotic system capable of quantitatively interpreting human body language and in turn, effectively responding via task-driven behavior during assistive social interaction is presented. In particular, a novel gesture identification and classification technique is proposed capable of interpreting human gestures as semantically meaningful commands for inputs into a multi-layer decision making control architecture. The learning-based control architecture is then utilized to determine the effective and appropriate assistive behavior of the robot.
2007
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(2007) : Emotional Architecture for the Humanoid Robot Head ROMAN: Proceedings 2007 IEEE International Conference on Robotics and Automation: Roma, Italy: IEEE Robotics & Automation Society, S. 2150-2155
DOI: https://doi.org/10.1109/ROBOT.2007.363639 Abstract: Humanoid robots as assistance or educational robots is an important research topic in the field of robotics. Especially the communication of those robots with a human operator is a complex task since more than 60% of human communication is conducted non-verbally by using facial expressions and gestures. Although several humanoid robots have been designed it is unclear how a control architecture can be developed to realize a robot with the ability to interact with humans in a natural way. This paper therefore presents a behavior-based emotional control architecture for the humanoid robot head ROMAN. The architecture is based on 3 main parts: emotions, drives and actions which interact with each other to realize the human-like behavior of the robot. The communication with the environment is realized with the help of different sensors and actuators which will also be introduced in this paper.
2005
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(2005) : Face Recognition for Social Interaction with a Personal Robotic Assistant: EUROCON 2005 - The International Conference on "Computer as a Tool": EUROCON 2005 - The International Conference on "Computer as a Tool": Piscataway NJ: IEEE Operations Center, S. 382-385
DOI: https://doi.org/10.1109/EURCON.2005.1629942 Abstract: This paper describes the main characteristics of a "social interactive" robot for which social human-robot interaction is important. The main goal of this work is the development of a robotic assistant (called SIRA) for elderly which serves several primary functions such us telepresence, tele-medicine, intelligent reminding, safeguarding, mobility assistance and social interaction. We focus our attention in to equip an intelligent robot assistant with a robust user-machine interface, which enable this robot to communicate, interact, and collaborate with human users in a natural and intuitive way. The social interaction module developed is commented and finally, an application of the social interaction is explained
2004
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(2004) : Toward an actualization of social intelligence in human and robot collaborative systems: 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566): 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566): Sendai, Japan: IEEE
DOI: https://doi.org/10.1109/IROS.2004.1389916 Abstract: As robot technology is evolving and creating a social community between humans and robots, it is necessary to research and develop a new type of intelligence, which we refer to as "social intelligence''. Social intelligence enables natural and socially appropriate interactions. Its importance is gaining a growing interest among not just the human-computer interaction researchers but also robot technology researchers and developers. This article discusses the definition, importance, and benefits of social intelligence in human and robot collaborative systems. The virtual social environment is employed to implement an experimental social intelligence system because of its low cost and high flexibility. Software robots (i.e. agents) with the social intelligence model have been implemented by featuring an emotion model and a personality model under the virtual environment. The social intelligence model that handles affective responses is based on the theories of personality, emotion, and human-media interaction such as cognitive appraisal theory and media equation. The experiment was conducted with the virtual learning collaborative system to examine the effect of the social intelligence model in the collaborative system. The data showed that the users had more positive impressions about the usefulness and the application and learning experience when the cooperative agent displayed some social responses with personality and emotions. It should be noted here that the cooperative agent did not provide any explicit assistance for the human user such as giving clues and showing answers, and yet the user's evaluation on the usefulness of the learning system was influenced by the social agent. The data also suggested that the cooperative agent contributed to the effectiveness of the learning system.
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