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  • 2018

  • Fangl, Yiru; Lu, Tun; Zhang, Peng; Gu, Hansu; Gu, Ning (2018) : Exploring the Effect of Politeness on User Contribution in Q&A sites: A Case Study of Stack Overflow In: Shen, Weiming; Luo, Junzhou; Barthès, Jean-Paul; Dong, Fang; Zhang, Jinghui; Zhu, Haibin (Hg.): Proceedings of the 2018 IEEE 22nd International Conference on Computer Supported Cooperative Work in Design (CSCWD): May 9-11, 2018, Nanjing, China: 2018 IEEE 22nd International Conference on Computer Supported Cooperative Work in Design (CSCWD): Nanjing, China: 5/9/2018 - 5/11/2018. IEEE International Conference on Computer Supported Cooperative Work in Design; Institute of Electrical and Electronics Engineers; Dongnan-Daxue; IEEE Systems, Man, and Cybernetics Society; Cscwd: Piscataway, NJ: IEEE, S. 713-718

    Abstract: Online question and answer (Q&A) sites are platforms allowing users to seek information or social support, which is sometimes socially uncomfortable. A major challenge in Q&A sites is how to encourage user contribution. Theory of linguistic politeness informs us that politeness is able to ease the tension resulting from face-threatening acts (FTA), and it is applicable to Q&A sites. However, Stack Overflow (SO), one of the most popular Q&A site for programmers, denies the use of linguistic politeness (e.g., greetings, salutations, and gratitude expressions), aiming at building a nonsocial platform. This paper focuses on a specific politeness strategy-expressing gratitude-in Q&A sites, and examines its effect on answerers' future contributions from the aspects of quality. Results indicate that gratitude expressions in comments can motivate answerers to generate higher quality content.

    Keywords: Benutzerfreundlichkeit, Buildings, Collaborative work, Computer Science, Conferences, Face, ieee xplore, Internet, Linguistics, Sprache, Sprachwissenschaften

  • 2010

  • Ushida, H. (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

  • 2004

  • Breazeal, C.; Brooks, A.; Chilongo, D.; Gray, J.; Hoffman, G.; Kidd, C.; Lee, H.; Lieberman, J.; Lockerd, A. (2004) : Working collaboratively with humanoid robots: 2004 4th IEEE/RAS International Conference on Humanoid Robots, 2004: 10-12 Nov. 2004, [Santa Monica, CA ; proceedings]: 2004 4th IEEE/RAS International Conference on Humanoid Robots: Santa Monica, CA, USA: 10-12 Nov. 2004. International Conference on Humanoid Robots; IEEE/RAS International Conference on Humanoid Robots: Piscataway, NJ: IEEE Operations Center, S. 253-272

    Abstract: This paper presents an overview of our work towards building humanoid robots that can work alongside people as cooperative teammates. We present our theoretical framework based on a novel combination of joint intention theory and collaborative discourse theory, and demonstrate how it can be applied to allow a human to work cooperatively with a humanoid robot on a joint task using speech, gesture, and expressive cues. Such issues must be addressed to enable many new and exciting applications for humanoid robots that require them to assist ordinary people in daily activities or to work as capable members of human-robot teams.

    Keywords: Alltag, collaborative discourse theory, Collaborative work, cooperative teammates, Human robot interaction, Humanoid Robots, ieee xplore, intelligent robots, joint intention theory, man-machine systems, Mensch-Roboter-Interaktion, Orbital robotics, Robot kinematics, Robot sensing systems, Robotic assembly, speech, Teamwork
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