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Interaction Techniques to Control Information Clutter in a Pervasive Augmented Reality Scenario

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HCI International 2023 – Late Breaking Papers (HCII 2023)

Abstract

The recent concept of Pervasive Augmented Reality (PAR) predicts the use of Augmented Reality (AR) in every aspect of our daily life to help access, produce and present information and services from various different sources around users. However, as far as the authors know, no study explored how design interaction techniques can be implemented in a complex and overwhelming PAR environment where information clutter is generated from multiple sources with very different political, social and economic interests. The contributions of this paper are 1) an evaluation of a PAR street-like environment with multiple producers of information, 2) a proposition of four different strategies, and their related interaction techniques, to help users tackle information clutter around them and 3) guidelines on expected interactions for managing such flow of information, based on participants’ feedback.

M. Cauz and Thibaut Septon—These authors Contributed equally to this publication.

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Acknowledgments

Research for this article was carried out with the FLARA-CC and OPTIMIS projects funded by Pole MecaTech. We also thank all the participants from the pilot and experimental studies for their participation.

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Correspondence to Maxime Cauz .

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Cauz, M., Septon, T., Dumas, B. (2023). Interaction Techniques to Control Information Clutter in a Pervasive Augmented Reality Scenario. In: Chen, J.Y.C., Fragomeni, G., Fang, X. (eds) HCI International 2023 – Late Breaking Papers . HCII 2023. Lecture Notes in Computer Science, vol 14058. Springer, Cham. https://doi.org/10.1007/978-3-031-48050-8_1

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  • DOI: https://doi.org/10.1007/978-3-031-48050-8_1

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