Alle Publikationen
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2018
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(2018) : Dialogue Behavior Control Model for Expressing a Character of Humanoid Robots: 2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC): 2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC): Hawaii, United States: IEEE, S. 1732-1737
DOI: https://doi.org/10.23919/APSIPA.2018.8659624 Abstract: This paper addresses character expression for humanoid robots that play a social role via spoken dialogue so that the character matches to the given social role such as a lab guide or a counselor. While conventional methods of character expression mostly focused on changing the style of utterance texts, this study focuses on dialogue behavior features that may affect the impression of spoken dialogue. Specifically, we use five dialogue behavior features: utterance amount, backchannel frequency, backchannel variety, filler frequency, and switching pause length (the time until the system responds). We adopt three character traits of extroversion, emotional instability, and politeness for character expression. We then investigate the relationship between the dialogue behavior features and the character traits by conducting subjective evaluations. A statistical analysis of the subjective evaluations shows that the dialogue behavior features except for the backchannel variety are related to either of the character traits. By using the subjective evaluation scores on the relevant traits, we can train models to control the dialogue behavior features of a robot according to the desired character. Another experimental evaluation demonstrates the feasibility of character expression with regard to the traits of extroversion and politeness.
Keywords: Analytical models, character traits, dialogue behavior control model, dialogue behavior features, emotional & politeness, Frequency control, Humanoid Robots, ieee xplore, interactive systems, Mobile robots, paper addresses character expression, PSYCHOLOGY, Social robotic, speech processing, spoken dialogue, Statistical Analysis, Switches, Task Analysis 2016
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(2016) : Japanese students apply same moral norms to humans and robot agents: Considering a moral HRI in terms of different cultural and academic backgrounds: 2016 11th ACM/IEEE International Conference on Human-Robot Interaction (HRI): Christchurch, New Zealand: IEEE Press, S. 457-458
DOI: https://doi.org/10.1109/HRI.2016.7451804 Abstract: An investigation was conducted into how Japanese students apply moral norms to humans and robot agents. The result revealed that they applied the same moral norm to both. This result was different from that of a former experiment done by Malle et al. A possible interpretation discussed is that such a difference would be caused by the participants’ cultural or academic background.
2010
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(2010) : Effect of social robot’s behavior in collaborative learning: 2010 5th ACM/IEEE International Conference on Human-Robot Interaction (HRI): Osaka, Japan: IEEE, S. 195-196
DOI: https://doi.org/10.1109/HRI.2010.5453199 Abstract: This paper describes about the effect of social robot’s behavior on human performance. The robot behaves based on an artificial mind model, and it expresses emotions according to the situation. In this research, we consider about the case where human and the robot learn cooperatively. The robot emotionally reacts to the joint learner’s success and failure. The experimental result shows that social behavior of the robot influences the performance of human learners.
Keywords: Animals, Anthropomorphism, APPRAISAL, Artificial intelligence, artificial mind model, collaborative learning, Collaborative work, Computer science education, Engines, groupware, human learners, human performance, Human robot interaction, human-robot interaction, ieee xplore, Künstliche Intelligenz, learning (artificial intelligence), Mobile robots, Personality, robot emotion, Social robot, social robot behavior, Switches 2007
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(2007) : Managing Context Rules in Mobile Devices: 4th International Forum on Applied Wearable Computing 2007: Tel Aviv, Israel: IEEE, S. 1-12. Online verfügbar unter https://ieeexplore.ieee.org/document/5760482/
Abstract: Abstract: An essential aspect of Mark Weiser's vision for ubiquitous computing is that computers become "invisible", demanding very little attention of their users. For this to happen, computers should be able to establish a shared understanding of the conceptual and social settings in which they operate, i.e., they should be context aware. This paper addresses one aspect of contextawareness, namely the management of context rules in mobile and wearable devices. Context rules are employed to predict higher-level human situations (activities), and to actuate desirable operations which are suitable to these situations. Because context rules are application specific, they are defined by application developers and users. So far, little consideration is given in the literature to take the habit (experience) of users into account to dynamically generate and manage context rules. In this paper we will provide a framework to associate decision events (signifying the actions performed by a user) with numerous context types which describe a situation of interest. From an aggregate of decision-context associations we generate context rules which enable mobile devices to proactively provide useful services.
1998
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(1998): Computer-assisted conversation for nonvocal people using prestored texts. In: IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews) 28 (3), S. 318-328. DOI: 10.1109/5326.704557
DOI: https://doi.org/10.1109/5326.704557 Abstract: The challenges faced by people who are severely physically impaired and nonspeaking are demonstrated by the fact that, even with current technology, the word rates that they can achieve using current communication systems tend to range from two to ten words per min. We have been investigating ways in which prestored reusable texts might assist in improving the performance of such systems. Beginning with a study of the acceptability and effects of including prestored texts in a conversation, this investigation examined a series of methods of increasing complexity that had the system itself perform some of the cognitive and manipulative tasks required to locate suitable texts for a user to include in conversation. These methods have included logging conversational paths for potential reuse in future interactions, using a hypertext structure for storing and navigating through conversational texts, employing fuzzy information retrieval, and building a system based on scripts, plans, and goals. Seeing the possible conversation modes as occurring at varying levels of novelty, from predictable routines through reusable texts to uniquely created utterances, the most likely area for significant improvement then is in the storage and retrieval of large amounts of reusable text. Research needs to discover ways of making the retrieval process as effortless and efficient as possible to free the user to concentrate on the interaction itself.
Keywords: Alltag, Buildings, computer assisted conversation, conversation modes, conversational paths, conversational texts, future interactions, fuzzy information retrieval, Fuzzy systems, handicapped aids, Human Factors, Humans, hypertext structure, ieee xplore, Information retrieval, INSPEC: Controlled Indexing, interactive systems, Interaktionsforschung, manipulative tasks, Navigation, nonvocal people, physically impaired, Physics computing, Portable computers, potential reuse, Power engineering computing, prestored reusable texts, prestored texts, retrieval process, reusable texts, speech, Switches, uniquely created utterances, user interfaces, word processing, word rates
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