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About

Josef Guggemos is a researcher specializing in educational technology, human-robot interaction, and the integration of artificial intelligence in higher education. His work sits at the intersection of pedagogy and emerging technology, exploring how social robots and smart machines can meaningfully enhance teaching quality and student learning experiences. Guggemos is perhaps best known for his landmark 2020 study evaluating student acceptance of Pepper, SoftBank Robotics' humanoid social robot, within a university academic writing course. Applying the widely recognized UTAUT framework, this work garnered 99 citations and established him as a leading voice in social robotics within higher education contexts. Alongside this, he has developed conceptual frameworks for designing social robot use cases in educational settings, helping to structure a field that remains in its early stages. His research also interrogates broader questions about the changing competency landscape in the age of AI, examining how human teachers and smart machines might complement one another through augmented task sharing rather than outright replacement. This nuanced perspective — neither dismissive of technology's limitations nor uncritical of its promise — characterizes his scholarly approach. With publications spanning empirical studies, conceptual overviews, and interview-based explorations, Guggemos offers students and researchers a comprehensive, grounded foundation for understanding robots and AI as genuine pedagogical partners.