This paper describes a focus group study that explores immersive learning in the field of Human-Robot Interaction (HRI). We examine four categories of HRI cases: robot-led, human-led, autonomous, and collaborative. For each case, we evaluate the potential risks and human learning outcomes. Our findings include interaction styles that can be applied in HRI as well as the directionality and (multi)modality of these interaction styles. We identified several areas of risk, including miscommunication, privacy concerns, and injuries. Lastly, we explored common human learning outcomes based on the interaction categories. Our findings fill a gap in the literature by providing an analysis of immersive learning outcomes and risks in the field of HRI. Our results contribute towards the establishment of a framework that can improve the development of immersive learning environments.
Original languageEnglish
Title of host publicationGames and Learning Alliance - 12th International Conference, GALA 2023, Proceedings
Subtitle of host publication12th International Conference, GALA 2023, Dublin, Ireland, November 29 – December 1, 2023, Proceedings
EditorsPierpaolo Dondio, Mariana Rocha, Attracta Brennan, Avo Schönbohm, Francesca de Rosa, Antti Koskinen, Francesco Bellotti
PublisherSpringer, Cham
Number of pages10
ISBN (Electronic)9783031490651
ISBN (Print)9783031490644
Publication statusPublished - 2024
Event12th International Conference, GALA 2023 - Dublin, Ireland
Duration: 29 Nov 20231 Dec 2023

Publication series

SeriesLecture Notes in Computer Science


Conference12th International Conference, GALA 2023
Internet address


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