Telepresence robots are increasingly used to keep severely or chronically ill children connected to their classmates, yet existing solutions rarely anchor privacy as a central UX concern. This paper reports on the UX and interface design in the project PRIVATAR, which links the right to informational self-determination of all stakeholders with the digital participation of ill children. Drawing on studies, field investigations, and expert workshops, we derive requirements for privacy by default, data minimization, and transparency, and translate them into concrete UX patterns: child-friendly privacy icons, a “Sendbox” for visualizing current data transmissions, as well as spatial no-go and no-view zones with role-based control rights for parents, teachers, and a support team. In addition, we use AI-supported digital user twins to systematically explore rare and privacy-critical scenarios. We reflect on the methodological implications of this approach for rare and vulnerable target groups and show how privacy-focused UX can function not as a barrier but as an enabler of psychosocial participation and educational continuity in school settings.
Schütz et al. (Sun,) studied this question.