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2014
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(2014): Evaluation of Proxemic Scaling Functions for Social Robotics. In: IEEE Transactions on Human-Machine Systems 44 (3), S. 374-385. DOI: 10.1109/THMS.2014.2304075
DOI: https://doi.org/10.1109/THMS.2014.2304075 Abstract: This paper introduces and empirically evaluates two scaling functions to alter a robot’s physical movements based on proximity to a human. Previous research has focused on individual aspects of proxemics, like the appropriate distance to maintain from a human, but has not explored autonomous methods to adapt robot behavior as proximity changes. This paper proposes that robots in a social role should modify their behavior using a continuous function mapped to proximity. The method developed calculates a gain value from proximity readings, which is used to shape the execution of active behaviors on the robot. In order to identify the effects of different mappings from proximity to gain value, two different scaling functions were implemented on an affective search and rescue robot. The findings from a 72 participant study, in a high-fidelity mock disaster site, are examined with attention given to a new measure to determine proxemic awareness. The results indicated that for attributes of intelligence, likability, proxemic awareness, and submissiveness, a logarithmic-based scaling function is preferred over a linear-based scaling function, and over no scaling function. In areas of participant comfort and participant stress, the results indicated both logarithmic and linear scaling functions were preferred to no scaling.
Keywords: Angemessen(heit) (von Technik), Atmospheric measurements, autonomous methods, disasters, emergency services, high-fidelity mock disaster site, Human–robot interaction (HRI), human–robot proxemics, ieee xplore, intelligence attributes, Interpolation, Joints, Lighting, linear-based scaling function, logarithmic-based scaling function, Particle measurements, proxemic awareness, proxemic scaling function evaluation, Proxemics, rescue robots, robot physical movements, Robot sensing systems, search, service robot, Social robotic, social robots, submissiveness attributes
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