Recent advances in extended reality (XR) —embracing Virtual/Augmented/Mixed Reality (VR/AR/MR)—enable more intuitive multi-user interactions in both co-located and remote settings by providing richer social cues in multimodal ways. Such interactions in XR can transform conventional methods for learning and collaboration to another level improving the user experience and performance in given tasks.
The focus of this Research Topic lies in interdisciplinary settings for designing, developing solutions, and evaluating user experience and performance in order to provide the best matched XR experience for individual users in multi-user settings for more effective and efficient learning or collaborations. This generally covers the following research questions:
• What features of the XR experience are needed to (or can) improve the learning efficacy in different learning settings, such as isolated and multi-user education?
• How can different modalities or affordances of XR experience influence user experience and task performance in multi-user collaborations?
• How can self-/team-customized XR experience improve the individual and collaboration performance, and what could be the possible positive/negative effects?
• Are there important or better measures to evaluate the validity of XR systems for learning and collaborations?
• How can we develop a large-scale XR learning/collaboration platform and extend the current use in practice?
This Research Topic showcases empirical basic and applied research on human behavior, intuitive interaction between individuals or groups of people and technology in education, collaboration, communication, entertainment, and training. We invite original work for novel multi-user interaction mechanisms, observation of the behavioral/perceptual changes, self-/team-efficacy, and individual/collaborative task performance in various settings of immersive spaces. We welcome research addressing areas that include but are not limited to:
• Technologies and simulations of interaction with a focus on human perception and behavior at the individual or group level
• Improving user experience in terms of the presence, perception and cognition, engagement, task performance, and preference
• Effects of embodied interaction through virtual avatars/agents
• Developing environment based on additional sensory stimuli support, and investigating the influence on the multi-user interactions.
Recent advances in extended reality (XR) —embracing Virtual/Augmented/Mixed Reality (VR/AR/MR)—enable more intuitive multi-user interactions in both co-located and remote settings by providing richer social cues in multimodal ways. Such interactions in XR can transform conventional methods for learning and collaboration to another level improving the user experience and performance in given tasks.
The focus of this Research Topic lies in interdisciplinary settings for designing, developing solutions, and evaluating user experience and performance in order to provide the best matched XR experience for individual users in multi-user settings for more effective and efficient learning or collaborations. This generally covers the following research questions:
• What features of the XR experience are needed to (or can) improve the learning efficacy in different learning settings, such as isolated and multi-user education?
• How can different modalities or affordances of XR experience influence user experience and task performance in multi-user collaborations?
• How can self-/team-customized XR experience improve the individual and collaboration performance, and what could be the possible positive/negative effects?
• Are there important or better measures to evaluate the validity of XR systems for learning and collaborations?
• How can we develop a large-scale XR learning/collaboration platform and extend the current use in practice?
This Research Topic showcases empirical basic and applied research on human behavior, intuitive interaction between individuals or groups of people and technology in education, collaboration, communication, entertainment, and training. We invite original work for novel multi-user interaction mechanisms, observation of the behavioral/perceptual changes, self-/team-efficacy, and individual/collaborative task performance in various settings of immersive spaces. We welcome research addressing areas that include but are not limited to:
• Technologies and simulations of interaction with a focus on human perception and behavior at the individual or group level
• Improving user experience in terms of the presence, perception and cognition, engagement, task performance, and preference
• Effects of embodied interaction through virtual avatars/agents
• Developing environment based on additional sensory stimuli support, and investigating the influence on the multi-user interactions.