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  • 2018

  • Yamamoto, K.; Inoue, K.; Nakamura, S.; Takanashi, K.; Kawahara, T. (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

  • 2008

  • Ballard, Dawna I.; Tschan, Franziska; Waller, Mary J. (2008): All in the Timing. In: Small Group Research 39 (3), S. 328-351. DOI: 10.1177/1046496408317036

    Abstract: The role of time in measuring group and team temporality constitutes more than a methodological issue-it is a theoretical question. That is, if group interaction is theorized as processual and processes occur through time, then research on team temporality, as well as a range of other issues, must grapple with the methodological implications of our theories. This article contributes to INGRoup's aim to advance theory and methods for understanding groups by exploring methodological approaches that allow researchers to capture a variety of team processes over time. Three case studies address the practical issues involved with employing various types of time-sensitive data collection, time-dependent coding, and time-based analysis, including their advantages and disadvantages. Together, the authors describe diverse field and analytical methods useful for interrogating theoretical assumptions about time in groups. Doing so expands the notion of group temporality to consider the role of both epochal and fungible times at multiple stages of group research. zitiert von 59

    Keywords: Data Collection, group dynamics, Gruppenverhalten, Statistical Analysis, teams, time, timing
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