Alle Publikationen
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2016
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(2016) : The ethical risk of attachment how to identify, investigate and predict potential ethical risks in the development of social companion robots: 2016 11th ACM/IEEE International Conference on Human-Robot Interaction (HRI): Christchurch, New Zealand: IEEE Press, S. 367-374
DOI: https://doi.org/10.1109/HRI.2016.7451774 Abstract: In this paper we present the Triple-A Model intended as a framework for researchers and developers to incorporate ethics in the user-and robot-centered design of social companion robots. The purpose of the model is to help identifying potential ethical risks in the implementation of Human-Robot Interaction (HRI) scenarios. We base our model on three interaction levels, which companion robots can offer: Assistance, Adaptation, and Attachment (Triple-A). Every single interaction level has its specific potential ethical risks, which can be addressed during the robot development phase. However, we especially focus on the prominent ethical risks of long-term human-robot attachment and its implications on human-robot relationships. We discuss the practical use and the theoretical foundation of the Triple-A model which is well-grounded in the social role theory from sociology and the human cognitive-mnestic structure from cognitive science.
Keywords: assistance adaptation, Attachment, bonding, Cognition, Cognitive Science, ethical aspects, ethical risk, Ethics, HRI, human cognitive-mnestic structure, human-robot attachment, human-robot interaction, human-robot interaction scenarios, human-robot relationships, ieee xplore, Moral & Ethik, robot companions, robot development phase, robot-centered design, social companion robots, Social role, social role theory, socially assistive robots, triple-A model, user centred design, user-centered design 2015
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(2015): The effects of culture and context on perceptions of robotic facial expressions. In: Interaction Studies: Social Behaviour and Communication in Biological and Artificial Systems 16 (2), S. 272-302. DOI: 10.1075/is.16.2.11ben
DOI: https://doi.org/10.1075/is.16.2.11ben Abstract: We report two experimental studies of human perceptions of robotic facial expressions while systematically varying context effects and the cultural background of subjects (n = 93). Except for Fear, East Asian and Western subjects were not significantly different in recognition rates, and, while Westerners were better at judging affect from mouth movement alone, East Asians were not any better at judging affect based on eye/brow movement alone. Moreover, context effects appeared capable of over-riding such cultural differences, most notably for Fear. The results seem to run counter to previous theories of cultural differences in facial expression based on emoticons and eye fixation patterns. We connect this to broader research in cognitive science – suggesting the findings support a dynamical systems view of social cognition as an emergent phenomenon. The results here suggest that, if we can induce appropriate context effects, it may be possible to create culture-neutral models of robots and affective interaction. (PsycINFO Database Record (c) 2019 APA, all rights reserved)
2012
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(2012): Frame-Semantik. Ein Kompendium. Berlin; Boston: De Gruyter. Online verfügbar unter http://dx.doi.org/10.1515/9783110269451
Abstract: Frame semantics is an important recent development in linguistic theory that links linguistics, cognitive psychology, general cognitive science, and AI research. This handbook-style introductory work, which is the first to com-prehensively consider the topic from a linguistic perspective, discusses the most important frame models and their theoretical roots, applications, and implications. The handbook format allows each chapter to be read and used individually Frame semantics is an important recent development in linguistic theory that links linguistics, cognitive psychology, general cognitive science, and AI research. This handbook-style introductory work, which is the first to com-prehensively consider the topic from a linguistic perspective, discusses the most important frame models and their theoretical roots, applications, and implications. The handbook format allows each chapter to be read and used individually. Dietrich Busse,Universität Düsseldorf.
2005
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(2005) : Fostering common ground in human-robot interaction: ROMAN 2005. IEEE International Workshop on Robot and Human Interactive Communication, 2005: ROMAN 2005. IEEE International Workshop on Robot and Human Interactive Communication, 2005: Nashville, TN, USA: IEEE, S. 729-734
DOI: https://doi.org/10.1109/ROMAN.2005.1513866 Abstract: Effective communication between people and interactive robots would benefit if they have a common ground of understanding. I discuss how the common ground principle of least collective effort can be used to predict and design human robot interactions. Social cues lead people to create a mental model of a robot and estimates of its knowledge. People’s mental model and knowledge estimate would, in turn, influence the effort they expend to communicate with the robot. People would explain their message in less detail to a knowledgeable robot with which they have more common ground. This process can be leveraged to design interactions that have an appropriate style of robot direction and that accommodate to differences among people.
Keywords: Airports, Angemessen(heit) (von Technik), Cognitive robotics, Cognitive Science, common ground principle, Communication effectiveness, Human robot interaction, Humanoid Robots, human-robot interaction, ieee xplore, interactive robots, knowledge estimation, mental model, Orbital robotics, Robot kinematics, Security, social robots, Testing, user interfaces
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