TY - JOUR A1 - Guerra, Enrico A1 - Büttner, Sebastian Thomas A1 - Beşer, Alper A1 - Prilla, Michael T1 - Assessing the Use of Mixed Reality as a Valid Tool for Human-Robot Interaction Studies in the Context of Space Exploration JF - Advancing Human-Computer Interaction for Space Exploration (SpaceCHI 2025). Open Access Series in Informatics (OASIcs) N2 - Mixed Reality (MR) is a technology with strong potential for advancing research in Human-Robot Interaction (HRI) for space exploration. Apart from the efficiency and high flexibility MR can offer, we argue that its benefits for HRI research in space contexts lies particularly in its ability to aid human-in-the-loop development, offer realistic hybrid simulations, and foster broader participation in HRI research in the space exploration context. However, we believe that this is only plausible if MR-based simulations can yield comparable results to fully physical approaches in human-centred studies. In this position paper, we highlight several arguments in favour of MR as a tool for space HRI research, while emphasising the importance of the open question regarding its scientific validity. We believe MR could become a central tool for preparing for future human-robotic space exploration missions and significantly diversify research in this domain. KW - Mixed Reality KW - Augmented Reality KW - Human-Robot Interaction KW - Space Exploration KW - Validity Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1010-opus4-48280 VL - 2025 IS - Volume 130 SP - 27:1 EP - 27:11 PB - Schloss Dagstuhl – Leibniz-Zentrum für Informatik ER - 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 -