Alle Publikationen
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2019
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(2019) : User Experience for Social Human-Robot Interactions: 2019 Amity International Conference on Artificial Intelligence (AICAI): Dubai, United Arab Emirates: IEEE, S. 32-36
DOI: https://doi.org/10.1109/AICAI.2019.8701332 Abstract: A significant threat social robots often faces is that their integration in real social, human environments will dehumanise some of the roles currently being played by the humans. This perception implicitly overestimates the social skills of the robots, which despite being continually upgraded, are still far from being able to dominate humans entirely. It also reflects loosely fears that robots may overcome humans in the near future and impact on the need to employ humans. This paper aims to address the role and relevance of user experience of socially interactive robots, separating several issues related to the evaluation of social human-robot interaction and then more specifically how this should be considered in developing countries where socially interactive robots are viewed with resistance and apprehension.
Keywords: Developing Countries, human environments, human-robot interaction, ieee xplore, Künstliche Intelligenz, Mobile robots, Robot sensing systems, service robot, Social Environments, social human-robot interaction, social robots, Social Skills, socially interactive robots, User acceptance, user experience 2017
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(2017) : Turn-taking intention recognition using multimodal cues in social human-robot interaction: 2017 17th International Conference on Control, Automation and Systems (ICCAS): Jeju, Korea: IEEE, S. 1300-1302
DOI: https://doi.org/10.23919/ICCAS.2017.8204407 Abstract: Turn-taking is an essential social skill for human communication. The robot needs to recognize the end of turn for timely response to the user with little delay in human-robot interaction. In this paper, we propose a turn-taking intention recognition system that determine the timing of turn-taking using multimodal cues in social Human-Robot Interaction (sHRI). In order to evaluate the turn-taking intention recognition system, we collect multimodal data set and conducted experiments. To that end, we designed a human-robot interaction scenario including turn-taking and conducted an experiment with 30 participants using the humanoid robot NAO. In experiments, we validate recognition models trained multimodal dataset by machine learning methods.
Keywords: Encoding, essential social skill, Floors, human communication, humanoid robot NAO, Humanoid Robots, human-robot interaction, ieee xplore, Künstliche Intelligenz, learning (artificial intelligence), Lips, machine learning methods, multimodal cues, multimodal dataset, Robots, sHRI, social human-robot interaction, Social robot, speech, timing, Turn-Taking, turn-taking intention recognition system 2014
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(2014) : Personalizing robot behavior for interruption in social human-robot interaction: 2014 IEEE International Workshop on Advanced Robotics and its Social Impacts: Evanston, IL: IEEE, S. 44-49
DOI: https://doi.org/10.1109/ARSO.2014.7020978 Abstract: People engaging in an activity usually has individual tolerance to be interrupted [1], [2]. Humans subconsciously adapt their behaviors to draw other one’s attention and to get into a conversation based on their historical experiences, but robots often fail to be aware of humans’ feeling and thus interrupt their users repeatedly. To endow service robots with such socially acceptable ability, we propose an online human-aware interactive learning framework in this paper, under which the robot personalizes its behaviors according to both observed user’s attention and its conjecture about user’s awareness of itself. To this purpose, the correlation between the robot’s theory of awareness, user’s attention and robot behavior are explored through reinforcement learning techniques. The conducted experiment shows that the robot can personalize its interruption strategy, and the optimal policies converged for at least 26 episodes.
Keywords: Face, Hidden Markov models, human-robot interaction, ieee xplore, Interrupters, interruption strategy, Künstliche Intelligenz, learning (artificial intelligence), Markov processes, online human-aware interactive learning framework, reinforcement learning techniques, robot behavior personalization, Robot sensing systems, robot theory of awareness, service robot, social human-robot interaction, social sciences, user attention, user awareness 2013
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(2013) : Accompany: Acceptable robotiCs COMPanions for AgeiNG Years — Multidimensional aspects of human-system interactions: 2013 6th International Conference on Human System Interactions (HSI): Sopot, Poland: IEEE, S. 570-577
DOI: https://doi.org/10.1109/HSI.2013.6577882 Abstract: With changes in life expectancy across the world, technologies enhancing well-being of individuals, specifically for older people, are subject to a new stream of research and development. In this paper we present the ACCOMPANY project, a pan-European project which focuses on home companion technologies. The projects aims to progress beyond the state of the art in multiple areas such as empathic and social human-robot interaction, robot learning and memory visualisation, monitoring persons and chores at home, and technological integration of these multiple approaches on an existing robotic platform, Care-O-Bot®3 and in the context of a smart-home environment utilising a multitude of sensor arrays. The resulting prototype from integrating these developments undergoes multiple formative cycles and a summative evaluation cycle towards identifying acceptable behaviours and roles for the robot for example role as a butler or a trainer. Furthermore, the evaluation activities will use an evaluation grid in order to assess achievement of the identified user requirements, formulated in form of distinct scenarios. Finally, the project considers ethical concerns and by highlighting principles such as autonomy, independence, enablement, safety and privacy, it embarks on providing a discussion medium where user views on these principles and the existing tension between some of these principles for example tension between privacy and autonomy over safety, can be captured and considered in design cycles and throughout project developments.
Keywords: acceptable robotics companions for ageing years, ACCOMPANY project, assisted living, autonomy principle, Cameras, Care-O-BotR®3, chore monitoring, Context, design cycles, empathic human-robot interaction, enablement principle, ethical aspects, ethical concerns, home companion technologies, human-robot interaction, human-system interactions, ieee xplore, independence principle, individual well-being enhancement, Life Expectancy, memory visualisation, Moral & Ethik, pan-European project, person monitoring, privacy principle, project developments, Robot kinematics, robot learning, Robot vision systems, robotic platform, safety principle, Senior citizens, sensor arrays, service robot, smart-home environment, social aspects of automation, social human-robot interaction, summative evaluation cycle
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