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 -