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2013
Liu, P.; Glas, D. F.; Kanda, T.; Ishiguro, H.; Hagita, N. (2013) : It’s not polite to point Generating socially-appropriate deictic behaviors towards people: 2013 8th ACM/IEEE International Conference on Human-Robot Interaction (HRI): Tokyo, Japan: IEEE, S. 267-274

DOI: https://doi.org/10.1109/HRI.2013.6483598

Abstract: Pointing behaviors are used for referring to objects and people in everyday interactions, but the behaviors used for referring to objects are not necessarily polite or socially appropriate for referring to humans. In this study, we confirm that although people would point precisely to an object to indicate where it is, they were hesitant to do so when pointing to another person. We propose a model for generating socially-appropriate deictic behaviors in a robot. The model is based on balancing two factors: understandability and social appropriateness. In an experiment with a robot in a shopping mall, we found that the robot’s deictic behavior was perceived as more polite, more natural, and better overall when using our model, compared with a model considering understandability alone.

Keywords: Angemessen(heit) (von Technik), Data Collection, Data models, Fingers, human-robot interaction, ieee xplore, Indexes, intelligent robots, pointing behaviors, pointing gesture, Robots, shopping mall, social appropriateness, social robots, social sciences, socially-appropriate deictic robot behavior generation, understandability, Visualization
2005
Sugiyama, O.; Kanda, T.; Imai, M.; Ishiguro, H.; Hagita, N. (2005) : Three-layered draw-attention model for humanoid robots with gestures and verbal cues: 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems: 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems: Piscataway NJ: IEEE, S. 2423-2428

DOI: https://doi.org/10.1109/IROS.2005.1545293

Abstract: When we talk about objects in an environment, we indicate to a listener which object is currently under consideration by using pointing gesture and such reference terms as "this" and "that". Such reference terms play an important role in human interaction by quickly informing the listener of an indicated object’s location. In this research, we propose a three-layered draw-attention model for humanoid robots with gestures and verbal cues. Our proposed three-layered model consists of three sub models: reference term model (RTM), limit distance model (LDM) and object property model (OPM). RTM decides an appropriate reference term using functions constructed by an analysis of human behavior. LDM decides whether to use the object’s property with a reference term. OPM decides the appropriate property for indicating the object by comparing object properties with each other. We developed an attention drawing system in a communication robot named "Robovie" based on the three layered model. We confirmed its effectiveness through the experiments.

Keywords: Angemessen(heit) (von Technik), Cities, communication robot, Gesture recognition, Human behavior, Human Computer Interaction, human interaction, Human robot interaction, Humanoid Robot, Humanoid Robots, human-robot interaction, human-robot interface, ieee xplore, intelligent robots, Knowledge engineering, limit distance model, Medical services, object property model, pointing gesture, reference term model, robot gesture, robot verbal cue, Robovie, Senior citizens, speech recognition, three-layered draw attention model, towns

2013

2005

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