Alle Publikationen
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2019
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(2019) : Towards Virtual Agents for Supporting Appropriate Small Group Behaviors in Educational Contexts: 2019 11th International Conference on Virtual Worlds and Games for Serious Applications (VS-Games): 2019 11th International Conference on Virtual Worlds and Games for Serious Applications (VS-Games): Hangzhou, China: IEEE, S. 1-2
DOI: https://doi.org/10.1109/VS-Games.2019.8864528 Abstract: Verbal and non-verbal behaviors that we use in order to effectively communicate with other people are vital for our success in our daily lives. Despite the importance of social skills, creating standardized methods for training them and supporting their training is challenging. Information and Communications Technology (ICT) may have a good potential to support social and emotional learning (SEL) through virtual social demonstration games. This paper presents initial work involving the design of a pedagogical scenario to facilitate teaching of socially appropriate and inappropriate behaviors when entering and standing in a small group of people, a common occurrence in collaborative social situations. This is achieved through the use of virtual characters and, initially, virtual reality (VR) environments for supporting situated learning in multiple contexts. We describe work done thus far on the demonstrator scenario and anticipated potentials, pitfalls and challenges involved in the approach.
Keywords: Collaboration, collaborative social situations, computer aided instruction, Demonstration Games, educational contexts, emotional & politeness, Games, ieee xplore, Information and communication technology, information and communications technology, nonverbal behaviors, Politeness, serious games (computing), small group behaviors, Small Groups, Social & Emotional Learning, social and emotional learning, Social robotic, Software agents, Task Analysis, Teaching, Training, Verbal Behavior, virtual agents, Virtual characters, Virtual reality, virtual social demonstration games 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
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