A Scoping Review on Artificial Intelligence and Extended Reality

Research at the intersection of artificial intelligence (AI) and extended reality (XR) has amounted to substantial literature over the past 20 years. Applications cover a broad spectrum, for example, visualising neural networks in virtual reality or interacting with conversational agents. However, a systematic overview is currently missing.

This micro-project addresses this gap with a scoping review covering two main objectives: First, it aims to give an overview of the research conducted at the intersection of AI and XR. Secondly, we are particularly interested in revealing how XR can be used to improve interactive grounding in human-AI interaction. In summary, the review focuses on the following guiding questions: Which are the typical AI methods used in XR research? Which are the main use cases at the intersection of AI and XR? How can XR serve as a tool to enhance interactive grounding in human-AI interaction?

Output

Conference or journal paper co-authored by the proposers (possibly with et. partners)

Dataset of the papers including codes

Project Partners:

• Københavns Universitet (UCPH), Teresa Hirzle
• Københavns Universitet (UCPH), Kasper Hornbæk
• Ludwig-Maximilians-Universität München (LMU), Florian Müller

Primary Contact: Teresa Hirzle, University of Copenhagen, Department of Computer Science