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2021 · conference

A User-Oriented Approach to Space-Adaptive Augmentation

Proceedings of the 2021 CHI Conference on Human Factors in Computing SystemsTop-tier

ACM CHI — the top-tier conference in human-computer interaction.

DOI: 10.1145/3411764.3445675

Abstract

Space-adaptive algorithms aim to effectively align the virtual with the real to provide immersive user experiences for Augmented Reality(AR) content across various physical spaces. While such measures are reliant on real spatial features, efforts to understand those features from the user’s perspective and reflect them in designing adaptive augmented spaces have been lacking. For this, we compared factors of narrative experience in six spatial conditions during the gameplay of Fragments, a space-adaptive AR detective game. Configured by size and furniture layout, each condition afforded disparate degrees of traversability and visibility. Results show that whereas centered furniture clusters are suitable for higher presence in sufficiently large rooms, the same layout leads to lower narrative engagement. Based on our findings, we suggest guidelines that can enhance the effects of space adaptivity by considering how users perceive and navigate augmented space generated from different physical environments.

Citation

@inproceedings{shin2021user,
  title = {A User-Oriented Approach to Space-Adaptive Augmentation},
  author = {Jaeeun Shin and Boram Yoon and Dooyoung Kim and Woontack Woo},
  booktitle = {Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems},
  year = {2021},
  doi = {10.1145/3411764.3445675},
  url = {https://doi.org/10.1145/3411764.3445675}
}

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