Advancing XR Education: Towards a Multimodal Human-Machine Interaction Course for Doctoral Students in Computer Science

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dc.contributor.authorSilva, Samuelen_US
dc.contributor.authorMarques, Bernardoen_US
dc.contributor.authorMendes, Danielen_US
dc.contributor.authorRodrigues, Ruien_US
dc.contributor.editorKuffner dos Anjos, Rafaelen_US
dc.contributor.editorRodriguez Echavarria, Karinaen_US
dc.date.accessioned2025-05-09T09:04:06Z
dc.date.available2025-05-09T09:04:06Z
dc.date.issued2025
dc.description.abstractNowadays, eXtended Reality (XR) has matured to the point where it seamlessly integrates various input and output modalities, enhancing the way users interact with digital environments. From traditional controllers and hand tracking to voice commands, eye tracking, and even biometric sensors, XR systems now offer more natural interactions. Similarly, output modalities have expanded beyond visual displays to include haptic feedback, spatial audio, and others, enriching the overall user experience. In this vein, as the field of XR becomes increasingly multimodal, the education process must also evolve to reflect these advancements. There is a growing need to incorporate additional modalities into the curriculum, helping students understand their relevance and practical applications. By exposing students to a diverse range of interaction techniques, they can better assess which modalities are most suitable for different contexts, enabling them to design more effective and human-centered solutions. This work describes an Advanced Human-Machine Interaction (HMI) course aimed at Doctoral Students in Computer Science. The primary objective is to provide students with the necessary knowledge in HMI by enabling them to articulate the fundamental concepts of the field, recognize and analyze the role of human factors, identify modern interaction methods and technologies, apply HCD principles to interactive system design and development, and implement appropriate methods for assessing interaction experiences across advanced HMI topics. In this vein, the course structure, the range of topics covered, assessment strategies, as well as the hardware and infrastructure employed are presented. Additionally, it highlights mini-projects, including flexibility for students to integrate their projects, fostering personalized and project-driven learning. The discussion reflects on the challenges inherent in keeping pace with this rapidly evolving field and emphasizes the importance of adapting to emerging trends. Finally, the paper outlines future directions and potential enhancements for the course.en_US
dc.description.sectionheadersEducation 3
dc.description.seriesinformationEurographics 2025 - Education Papers
dc.identifier.doi10.2312/eged.20251013
dc.identifier.isbn978-3-03868-266-0
dc.identifier.issn1017-4656
dc.identifier.pages8 pages
dc.identifier.urihttps://doi.org/10.2312/eged.20251013
dc.identifier.urihttps://diglib.eg.org/handle/10.2312/eged20251013
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Human-centered computing → Interaction design process and methods; Mixed / augmented reality; Natural language interfaces; Information systems → Collaborative and social computing systems and tools
dc.subjectHuman
dc.subjectcentered computing → Interaction design process and methods
dc.subjectMixed / augmented reality
dc.subjectNatural language interfaces
dc.subjectInformation systems → Collaborative and social computing systems and tools
dc.titleAdvancing XR Education: Towards a Multimodal Human-Machine Interaction Course for Doctoral Students in Computer Scienceen_US
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