Alle Publikationen
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2012
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(2012) : How to sustain long-term interaction between children and ROBOSEM in English class: 2012 7th ACM/IEEE International Conference on Human-Robot Interaction (HRI): Boston, MA: IEEE
Abstract: According to studies confirming that robot assisted learning (RAL) can positively contribute to improving learners' motivation and achievement for language learning [1,4], RAL is facing its diffusion through the demand of parents and government. However, the biggest obstacle to the long-term interaction between humans and robots is the robots' low-success rate of visual and voice recognition, as well as the limitation of artificial intelligence for the daily-life HRI [3]. This study demonstrated ROBOSEM's ability to sustain long term interaction between children and a robot in an elementary English class from the pilot studies with IROBIQ, called Langbot [1]. Five factors are of concern in sustaining the long-term interaction between children and ROBOSEM, as shown in Figure 2: (1) enhancing the recognition ability of ROBOSEM with class materials, such as marker hats, bracelet watches embodied RFID tags, Wiimocon, etc; (2) sharing the birth story of ROBOSEM, which works to increase children's tolerance toward weak recognition from the result of [2]; (3) making a favorable impression, such as by flashing children's faces on the screen; (4) telling the history of a child's personal learning activities; and (5) tele-operation by the intelligence of a human being.
2009
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(2009) : Non-facial and non-verbal affective expression in appearance-constrained robots for use in victim management: Robots to the rescue!: 2009 4th ACM/IEEE International Conference on Human-Robot Interaction (HRI): 2009 4th ACM/IEEE International Conference on Human-Robot Interaction (HRI): New York, NY, US: Association for Computing Machinery
DOI: https://doi.org/10.1145/1514095.1514130 Abstract: This video presents a visual summary of large-scale, complex human study in Human-Robot Interaction (HRI) designed to evaluate whether humans would view interactions with two non-anthropomorphic robots more positively and calming when the robots were operated in an emotive mode versus a standard, non-emotive mode. The video presents actual participants' reactions, the study design, and images from search and rescue operations.
2005
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(2005) : Modeling of the emotional model with friendship for familiarity of robot: 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems: 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems: Piscataway NJ: IEEE, S. 1235-1240
DOI: https://doi.org/10.1109/IROS.2005.1545342 Abstract: This paper deals with the emotional model of the software-robot. The software-robot requires several capabilities such as sensing, perceiving, acting, communicating, surviving and so on. There are already many studies about the emotional model like KISMET, AIBO. Though many emotional models are implemented, their human response architectures are invariant as time passes. Conventional emotional models make a robot like and obey a human during robot operation. This is natural for robots which are used in industrial, service and military areas but for pet robots this property lets robot look like real robots not real pets. Actually, a robot's emotional model is studied to implement robot intelligence more easily but emotion expression has to be exaggerated in a pet robot to make it interesting to humans. Pet robots must show dynamical emotion variations. The emotional model with the modified friendship is studied in this paper to overcome the conventional emotional model's limits to apply to pet robots. Friendship is distinguished as positive, negative and static schemes and an emotional model with the modified friendship is implemented and simulated on a software-robot.
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