Humanoid social robots are becoming accessible to university laboratories beyond well-funded robotics groups, yet structured guidance for deploying them in student-led usability research remains scarce. This paper presents a reusable deployment framework built around Mads, the pib humanoid robot operated at the university's Usability Engineering and Verification Lab. The framework consists of two components: a Standard Operating Procedure (SOP) governing the full study lifecycle, and a browser-based Wizard-of-Oz (WoZ) control setup that enables students to conduct live user studies without requiring robotics or programming expertise. We designed this framework for low-cost platforms and describe a planned proof-of-concept study in which Mads acts as an active pause guide, leading participants through short movement breaks and delivering spoken feedback in real time. The framework and its protocol are offered as a documented artefact for the HRI and HCI education communities, with empirical validation planned as explicit future work.
Methods of Artificial Intelligence (AI) enable the personalization of information for individual user experiences in many domains; however, they can also conflict with established design principles, e.g., due to uncertainties regarding the real world. Building trust and understanding can serve as an approach to create a more balanced relationship between humans and AI. Building upon a pilot study, an online survey was conducted to investigate 12 individual aspects related to the topics of explainability and controllability. The results indicate that both topics, despite their different and numerous facets, are generally perceived as important by respondents; simultaneously, however, a wide dispersion of opinions is frequently observed. This could be an indication that, alongside a fundamental consensus, individual perspectives, technical knowledge and understanding, context-specific factors, or personal experiences play a role in the perception of such systems.
Gilbert Drzyzga· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
