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  • 1.
    Thellman, Sam
    et al.
    Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Arts and Sciences. Linköping University, Faculty of Science & Engineering.
    Hagman, William
    Linköping University, Department of Behavioural Sciences and Learning, Psychology. Linköping University, Faculty of Arts and Sciences.
    Jonsson, Emma
    Linköping University, Department of Computer and Information Science. Linköping University, Faculty of Science & Engineering.
    Nilsson, Lisa
    Linköping University, Department of Computer and Information Science. Linköping University, Faculty of Science & Engineering.
    Samuelsson, Emma
    Linköping University, Department of Computer and Information Science. Linköping University, Faculty of Science & Engineering.
    Simonsson, Charlie
    Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Science & Engineering.
    Skönvall, Julia
    Linköping University, Department of Computer and Information Science. Linköping University, Faculty of Science & Engineering.
    Westin, Anna
    Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Science & Engineering.
    Silvervarg, Annika
    Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Arts and Sciences.
    He is not more persuasive than her: No gender biases toward robots giving speeches2018In: Proceedings of the 18th International Conference on Intelligent Virtual Agents, New York, NY, USA: ACM Digital Library, 2018, p. 327-328Conference paper (Refereed)
    Abstract [en]

    The reported study investigated three gender-related effects on the rated persuasiveness of a speech given by a humanoid robot: (1) the female or male gendered voice and visual appearance of the robot, (2) the female or male gender of the participant, and (3) the interaction between robot gender and participant gender. The study employed a measure of persuasiveness based on the Aristotelian modes of persuasion: ethos, pathos and logos. In contrast to previous studies on gender bias toward intelligent virtual agents and robots, the gender of the robot did not influence the rated persuasiveness of the speech, and female participants rated the speech as more persuasive than men overall.

    Publisher's full text
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