Alle Publikationen
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2013
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(2013): Socially Aware Virtual Characters: The Social Signal of Smiles [Social Sciences]. In: IEEE Signal Processing Magazine 30 (2), S. 128-132. DOI: 10.1109/MSP.2012.2230541
DOI: https://doi.org/10.1109/MSP.2012.2230541 Abstract: At first, machines were mainly used to solve complex mathematical problems. Today, they often embody more and more roles typically endowed by humans, such as a tutor in a virtual learning class or an assistant for virtual task realization. Moreover, the paradigm highlighted in [1] reveals that the user’s relation with the computer is intrinsically social, with high similarities compared to interpersonal relationships. For instance, people have no problem using communicative means (verbal and nonverbal behavior) to interact with artificial entities and apply polite rules. One particularly interesting aspect of the human machine interaction is the bidirectionality of the relation: users exhibit social behaviors to the computer, and the machine’s behavior affects users. Reeves and Nass [1] have shown that people tend to react naturally and socially to computers, as they would do to another person. In such a human-machine interaction, which can be seen as a particular social context with users sensitive to the computer behavior, the development of socially aware virtual characters appears fundamental.
Keywords: Context awareness, Heuristic algorithms, Human Factors, human machine interaction, ieee xplore, interpersonal relationship, Künstliche Intelligenz, Machine intelligence, Man machine systems, Nonverbal behavior, smile, Social Behavior, social sciences, social sciences computing, socially aware virtual character, user interfaces, user relation, Verbal Behavior, Virtual environments, virtual learning class, Virtual reality, virtual task realization 2006
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(2006): Toward a General Logicist Methodology for Engineering Ethically Correct Robots. In: IEEE Intelligent Systems 21 (4), S. 38-44. DOI: 10.1109/MIS.2006.82
DOI: https://doi.org/10.1109/MIS.2006.82 Abstract: As intelligent machines assume an increasingly prominent role in our lives, there seems little doubt they eventually be called on to make important, ethically charged decisions. We think formal logic offers a way to preclude doomsday scenarios of malicious robots taking over the world. Faced with the challenge of engineering ethically correct robots, we propose a logic-based approach. We’ve successfully implemented and demonstrated this approach. We present it in a general methodology to answer the ethical questions that arise in entrusting robots with more and more of our welfare. A deontic logic formalizes a moral code, allowing ethicists to render theories and dilemmas in declarative form for analysis. It offers a way for human overseers to constrain robot behavior in ethically sensitive environments
Keywords: Artificial intelligence, deontic logic, ethical aspects, ethical robot engineering, ethical sensitive environment, Ethics, formal logic, Humans, ieee xplore, intelligent machine, intelligent robots, Logic, logic-based approach, logicist methodology, Machine intelligence, medical robotics, Moral & Ethik, Natural languages, Protection, robot behavior, Robot sensing systems, Robots
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