Location-Aware Adaptation of Augmented Reality Narratives


The recent popularity of augmented reality (AR) devices has enabled players to participate in interactive narratives through virtual events and characters populated in a real-world environment, where different actions may lead to different story branches. In this paper, we propose a novel approach to adapt narratives to real spaces for AR experiences. Our optimization-based approach automatically assigns contextually compatible locations to story events, synthesizing a navigation graph to guide players through different story branches while considering their walking experiences. We validated the effectiveness of our approach for adapting AR narratives to different scenes through experiments and user studies.

Keywords: interactive narratives, augmented reality, storytelling, path generation


Location-Aware Adaptation of Augmented Reality Narratives
Wanwan Li*, Changyang Li*, Minyoung Kim, Haikun Huang, Lap-Fai Yu
ACM Conference on Human Factors in Computing Systems (CHI 2023)
[Main paper] [Supplementary material] [YouTube]
* indicates equally contributed


title={Location-Aware Adaptation of Augmented Reality Narratives},
author={ Wanwan Li and Changyang Li and Minyoung Kim and Haikun Huang and Lap-Fai Yu},
booktitle={Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems},

Experiment Results

Main Video

WanWan Li*

George Mason University

Changyang Li*

George Mason University

Minyoung Kim

George Mason University

Haikun Huang

George Mason University

Lap-Fai Yu

George Mason University

* indicates equally contributed