TY - CHAP A1 - Büttner, Sebastian Thomas A1 - Goudarzi, Maral A1 - Prilla, Michael T1 - Why does the robot only select men? How women and men perceive autonomous social robots that have a gender bias T2 - MuC '24: Proceedings of Mensch und Computer 2024, Karlsruhe Germany September 1-4, 2024 N2 - Abstract Future social robots will act autonomously in the world. Autonomous behavior is usually realized by using AI models built with real-world data, which often reflect existing inequalities and prejudices in society. Even if designers do not intend it, there are risks that robots will be developed that discriminate against certain users, e. g. based on gender. In this work, we investigate the implications of a gender-biased robot that disadvantages women, which unfortunately is a bias in AI that is often reported. Our experiment shows that both men and women perceive the gender-biased robot to be unfair. However, our work indicates that women are more aware that a gender bias causes this unfairness. We also show that gender bias results in the robot being perceived differently. While the gender bias resulted in lower likability and intelligence ratings by women, men seem to lose trust in the robot if it behaves unfairly. KW - Human-centered computing KW - Empirical studies in HCI KW - Human-Robot Interaction KW - Social Robot KW - Gender Bias KW - Fairness KW - Experiment Y1 - 2024 SN - 979-8-4007-0998-2 U6 - https://doi.org/10.1145/3670653.3677492 SP - 479 EP - 484 PB - ACM Digital Library ER - TY - JOUR A1 - Alhaji, Basel A1 - Büttner, Sebastian Thomas A1 - Kumar, Shushanth Sanjay A1 - Prilla, Michael T1 - Trust dynamics in human interaction with an industrial robot JF - Behaviour & Information Technology N2 - ABSTRACT Trust is important for collaboration. In hybrid teams of humans and robots, trust enables smooth collaboration and reduces risks. Just as collaboration between humans and robots differs from interpersonal collaboration, so does the nature of trust in human-robot interaction (HRI). Therefore, further investigations on trust formation and dissolution in HRI, factors affecting it, and means for keeping trust on an appropriate level are needed. However, our knowledge of interpersonal trust and trust in autonomous agents cannot be transferred directly to HRI. In this paper, we present a study with 32 participants on trust formation and dissolution as well as forecasting to influence trust in an industry robot. Results show differences in dynamics and factors of trust formation and dissolution. Additionally, we find that the effect of forecasting on trust depends on task success. These findings support the design of trustful human-robot interaction and corresponding robotic team members. KW - Human-centered computing KW - Human computer interaction (HCI) KW - Empirical studies in HCI KW - Human-Robot Interaction KW - Industrial Robot KW - Trust KW - Trust Dynamics KW - Collaboration Y1 - 2024 UR - https://www.tandfonline.com/doi/full/10.1080/0144929X.2024.2316284 U6 - https://doi.org/10.1080/0144929X.2024.2316284 VL - 2025 IS - Vol. 44, No. 2 SP - 266 EP - 288 PB - Taylor & Francis ER -