TY - CHAP A1 - Büttner, Sebastian Thomas A1 - Neumann, Paul A1 - Hernández Acosta, Luca A1 - Reinhardt, Delphine A1 - Prilla, Michael T1 - Towards Privacy-friendly Telepresence Robots for Schoolchildren with Long-term Illnesses – User Needs of Relevant User Groups T2 - Mensch und Computer 2024 - Workshopband. MCI-WS17: Usable Security und Privacy Workshop. Karlsruhe. 1.-4. September 2024 N2 - Abstract Remote participation in school is possible today with the help of telepresence robots. Such technologies can offer great opportunities for children with long-term illnesses to continue attending school. Consequently, telepresence robots are already used in some schools when children are absent for long periods. However, despite their positive impact, such robots also create challenges for the privacy of people involved in such a setting. Therefore, in this paper, we discuss the user needs of such robots in this specific and privacy-sensitive application field. We held three workshops with different user groups with and without experience with the robots. Among them were formerly and currently ill children, parents, teachers, head teachers, media educators, and supporting personnel. We discussed their experiences (if any), ideas, expectations, and concerns with a focus on privacy aspects to find out about the user needs of different user groups. Our results reveal various interrelationships and conflicts between the individual actors. They serve as a basis to discuss the implications for the design of future telepresence robots for schoolchildren. KW - Security and privacy KW - Human and societal aspects of security and privacy KW - Usability in security and privacy KW - Human-centered computing KW - Human-computer interaction (HCI) Y1 - 2024 UR - https://dl.gi.de/items/4a81eb62-df8a-4d80-92e5-0b05669d49f8 U6 - https://doi.org/10.18420/muc2024-mci-ws17-162 PB - Gesellschaft für Informatik e.V. 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 - TY - CHAP A1 - Neumann, Paul A1 - Büttner, Sebastian Thomas A1 - Hernández Acosta, Luca A1 - Reinhardt, Delphine A1 - Prilla, Michael T1 - "I Don't Want Parents to Watch My Lessons" – Privacy Trade-offs in the Use of Telepresence Robots in Schools for Children with Long-term Illnesses T2 - MuC '24: Proceedings of Mensch und Computer 2024, Karlsruhe Germany September 1-4, 2024 N2 - Abstract Telepresence robots offer great opportunities for children with long-term illnesses to continue attending school. Consequently, they are already used if children are absent for long periods. When designing such systems, the privacy of various stakeholders must be considered. However, conflicts often arise because the privacy requirements of different user groups cannot be fulfilled simultaneously. In this paper, we analyze the corresponding trade-offs that have to be made when designing telepresence robots under conflicting privacy requirements. We analyzed previous literature and held three workshops with different user groups (children, parents, teachers, head teachers, media educators, and supporting personnel) with and without experience with telepresence robots in schools. Based on the literature and the workshop results, we present four major privacy trade-offs we identified and discuss design approaches for them. With this work, we contribute to the design research on telepresence robots in schools by revealing the major privacy-related conflicts and potential design approaches to overcome the conflicts. KW - Security and privacy KW - Human and societal aspects of security and privacy KW - Usability in security and privacy KW - Human-centered computing KW - Human computer interaction (HCI) KW - Telepresence KW - Robot KW - School KW - Design KW - Privacy Y1 - 2024 SN - 979-8-4007-0998-2 U6 - https://doi.org/10.1145/3670653.3677509 SP - 448 EP - 454 PB - ACM Digital Library ER - TY - CHAP A1 - Gümüs, Esra A1 - Gutzmann, Jan Christoph A1 - Büttner, Sebastian Thomas A1 - Prilla, Michael T1 - The Impact of Smart-glass-based Video Tutorials on Knowledge Transfer in Practice T2 - MuC '24: Proceedings of Mensch und Computer 2024, Karlsruhe Germany September 1-4, 2024 N2 - Abstract Video tutorials are an effective method of knowledge transfer and learning. However, they are often time-consuming to create and difficult to access during work. This paper introduces an approach that simplifies the creation of video tutorials in the workplace and promotes their use during work. By utilizing smart glasses, practitioners can record video tutorials during their daily work processes and utilize them for knowledge transfer to other employees without much additional effort. This offers the advantage of directly and easily sharing expertise in the workplace without being constrained by time or location. Given the intended simplicity of this approach, the question arises whether it creates video tutorials that help people in their learning. The paper presents a study that compares the effectiveness of knowledge transfer using these video tutorials against traditional personal training methods in the workplace. With 18 participants from the nursing and production sectors, we observed the training and learning outcomes of using video tutorials on smart glasses over multiple sessions, comparing them with personal training, which is considered the standard for practical onboarding. The study results indicate that learning with video tutorials does not significantly differ in terms of learning outcomes from traditional personal training methods. Overall, this study highlights the potential of video tutorials with smart glasses for knowledge transfer in workplaces, while also identifying challenges and opportunities for optimizing onboarding processes for employees. KW - Human-centered computing KW - Human computer interaction (HCI) KW - smart glasses KW - video tutorials KW - training Y1 - 2024 SN - 979-8-4007-0998-2 U6 - https://doi.org/10.1145/3670653.3670673 SP - 219 EP - 230 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 - TY - CHAP A1 - Pascher, Max A1 - Baumeister, Annalies A1 - Schneegass, Stefan A1 - Klein, Barbara A1 - Gerken, Jens ED - Ardito, Carmelo ED - Lanzilotti, Rosa ED - Malizia, Alessio ED - Petrie, Helen ED - Piccinno, Antonio ED - Desolda, Giuseppe ED - Inkpen, Kori T1 - Recommendations for the Development of a Robotic Drinking and Eating Aid - An Ethnographic Study T2 - Human-Computer Interaction – INTERACT 2021 : 18th IFIP TC 13 International Conference, Bari, Italy, August 30 – September 3, 2021, Proceedings, Part I N2 - Being able to live independently and self-determined in one’s own home is a crucial factor or human dignity and preservation of self-worth. For people with severe physical impairments who cannot use their limbs for every day tasks, living in their own home is only possible with assistance from others. The inability to move arms and hands makes it hard to take care of oneself, e.g. drinking and eating independently. In this paper, we investigate how 15 participants with disabilities consume food and drinks. We report on interviews, participatory observations, and analyzed the aids they currently use. Based on our findings, we derive a set of recommendations that supports researchers and practitioners in designing future robotic drinking and eating aids for people with disabilities. KW - Assisted living technologies KW - Human-centered computing KW - People with disabilities KW - Robot assistive drinking KW - Robot assistive eating Y1 - 2021 SN - 978-3-030-85623-6 U6 - https://doi.org/10.1007/978-3-030-85623-6_21 SP - 331 EP - 351 PB - Springer International Publishing CY - Cham ER -