When XR and AI Meet - A Scoping Review on Extended Reality and Artificial Intelligence

要旨

Research on Extended Reality (XR) and Artificial Intelligence (AI) is booming, which has led to an emerging body of literature in their intersection. However, the main topics in this intersection are unclear, as are the benefits of combining XR and AI. This paper presents a scoping review that highlights how XR is applied in AI research and vice versa. We screened 2619 publications from 203 international venues published between 2017 and 2021, followed by an in-depth review of 311 papers. Based on our review, we identify five main topics at the intersection of XR and AI, showing how research at the intersection can benefit each other. Furthermore, we present a list of commonly used datasets, software, libraries, and models to help researchers interested in this intersection. Finally, we present 13 research opportunities and recommendations for future work in XR and AI research.

著者
Teresa Hirzle
University of Copenhagen, Copenhagen, Denmark
Florian Müller
LMU Munich, Munich, Germany
Fiona Draxler
LMU Munich, Munich, Germany
Martin Schmitz
Saarland University, Saarbrücken, Germany
Pascal Knierim
Bundeswehr University Munich, Munich, Germany
Kasper Hornbæk
University of Copenhagen, Copenhagen, Denmark
論文URL

https://doi.org/10.1145/3544548.3581072

動画

会議: CHI 2023

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2023.acm.org/)

セッション: Theory and Model Development

Hall D
6 件の発表
2023-04-26 01:35:00
2023-04-26 03:00:00