> For the complete documentation index, see [llms.txt](https://library.xrguild.org/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://library.xrguild.org/current-peer-reviewed-immersive-technologies/experiences-with-a-virtual-reality-system-for-immersive-decision-making-and-learning.md). # Experiences with a Virtual Reality System for Immersive Decision Making and Learning The CAVE system offers a novel and unmatched paradigm for cutting-edge VR research in comparison to conventional VR technology, such as Head-Mounted Displays (HMDs). ## Overview **Authors:** Kiran Neupane, Ananya Hans, Ahhyun Lee, Robby Criswell, Kannappan Palaniappan, Ye Duan, Prasad Calyam **Publication Date:** 22 February 2024 **Link:** [https://ieeexplore.ieee.org/document/10440663]() **Keywords:** Immersive virtual environments, virtual reality, usability study, interdisciplinary collaboration, cybersickness **Type:** Peer-Reviewed Journals/White Papers ## Summary The CAVE system offers a novel and unmatched paradigm for cutting-edge VR research in comparison to conventional VR technology, such as Head-Mounted Displays (HMDs). However, its effectiveness and usability needs to be studied in the context of diverse applications. In this paper, we present a study of the "Mizzou CAVE" at the University of Missouri-Columbia, and report on the experiences in terms of its usefulness in cross-disciplinary applications, and the opportunities/challenges for potential researchers and users. Specifically, the study features Likert-scale-based questionnaires to collect empirical quantitative data for measuring efficacy and satisfaction outcomes striving towards the purpose of applications involving decision making and learning. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation by asking a question. Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters: ``` GET https://library.xrguild.org/current-peer-reviewed-immersive-technologies/experiences-with-a-virtual-reality-system-for-immersive-decision-making-and-learning.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.