Alle Publikationen
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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 2012
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(2012) : Social head gaze and proxemics scaling for an affective robot used in victim management: IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR), 2012: 5 - 8 Nov. 2012, College Station, TX, USA: 2012 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR): College Station, TX, USA: 11/5/2012 - 11/8/2012. Institute of Electrical and Electronics Engineers; IEEE International Symposium on Safety, Security, and Rescue Robotics; Ssrr: Piscataway, NJ: IEEE, S. 1-2
Abstract: This paper evaluates the use of social head gaze and proxemic scaling in an affective robot for victim management using two large scale simulated Urban Search and Rescue (US&R) scenario studies.On average between four and ten hours pass from the time a victim is discovered to the time of extrication of the victims [2], [5]. During this time an urban search and rescue robot remains with the victim to monitor their condition and the environment. Throughout this critical period, it is important that the robot interacts with the victims in a socially appropriate way in order to reduce stress levels, keep the victims calm, at ease, positive, and engaged until assistance arrives while preventing a condition known as shock.
2007
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(2007) : Non-facial/non-verbal methods of affective expression as applied to robot-assisted victim assessment: 2007 2nd ACM/IEEE International Conference on Human-Robot Interaction (HRI): New York, NY, US: Association for Computing Machinery, S. 287-294
DOI: https://doi.org/10.1145/1228716.1228755 Abstract: This work applies a previously developed set of heuristics for determining when to use non-facial/non-verbal methods of affective expression to the domain of a robot being used for victim assessment in the aftermath of a disaster. Robot-assisted victim assessment places a robot approximately three meters or less from a victim, and the path of the robot traverses three proximity zones (intimate (contact - 0.46 m), personal (0.46 - 1.22 m), and social (1.22 - 3.66 m)). Robot- and victim-eye views of an Inuktun robot were collected as it followed a path around the victim. The path was derived from observations of a prior robot-assisted medical reachback study. The victim’s-eye views of the robot from seven points of interest on the path illustrate the appropriateness of each of the five primary non-facial/non-verbal methods of affective expression: (body movement, posture, orientation, illuminated color, and sound), offering support for the heuristics as a design aid. In addition to supporting the heuristics, the investigation identified three open research questions on acceptable motions and impact of the surroundings on robot affect.
Keywords: Abstracts, Affective computing, affective expression, Angemessen(heit) (von Technik), Body Movement, body orientation, body posture, design aid, design aids, disaster, disasters, emergency services, human-robot interaction, ieee xplore, illuminated color, Inuktun robot, nonfacial nonverbal method, Non-verbal Communication, Proxemics, robot-assisted medical reachback study, robot-assisted victim assessment, Robotic Design Guidelines, service robot, sound, victim-eye views
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