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

Maxime Cauz; Thibaut Septon; Bruno Dumas

doi:10.1007/978-3-031-48050-8_1

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

Maxime Cauz, Thibaut Septon, Bruno Dumas

Résultats de recherche: Contribution dans un livre/un catalogue/un rapport/dans les actes d'une conférence › Chapitre (revu par des pairs) › Revue par des pairs

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Résumé

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.

langue originale	Anglais
titre	HCI International 2023 – Late Breaking Papers - 25th International Conference on Human-Computer Interaction, HCII 2023, Proceedings
rédacteurs en chef	Jessie Y. C. Chen, Gino Fragomeni, Xiaowen Fang
Pages	3-21
Nombre de pages	19
Les DOIs	https://doi.org/10.1007/978-3-031-48050-8_1
Etat de la publication	Publié - 2023
Evénement	25th International Conference on Human-Computer Interaction - AC Bella Sky Hotel and Bella Center, Copenhagen, Danemark Durée: 23 juil. 2023 → 28 juil. 2023

Série de publications

Nom	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	14058
ISSN (imprimé)	0302-9743
ISSN (Electronique)	1611-3349

Une conférence

Une conférence	25th International Conference on Human-Computer Interaction
Titre abrégé	HCI International 2023
Pays/Territoire	Danemark
La ville	Copenhagen
période	23/07/23 → 28/07/23

Accès au document

10.1007/978-3-031-48050-8_1

Accepted ManuscriptAccepted author manuscript, 22 MB

Autres fichiers et liens

Lien vers la publication sur Scopus

Contient cette citation

Cauz, M., Septon, T., & Dumas, B. (2023). Interaction Techniques to Control Information Clutter in a Pervasive Augmented Reality Scenario. Dans J. Y. C. Chen, G. Fragomeni, & X. Fang (eds.), HCI International 2023 – Late Breaking Papers - 25th International Conference on Human-Computer Interaction, HCII 2023, Proceedings (p. 3-21). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol 14058). https://doi.org/10.1007/978-3-031-48050-8_1

Cauz, Maxime ; Septon, Thibaut ; Dumas, Bruno. / Interaction Techniques to Control Information Clutter in a Pervasive Augmented Reality Scenario. HCI International 2023 – Late Breaking Papers - 25th International Conference on Human-Computer Interaction, HCII 2023, Proceedings. Editeur / Jessie Y. C. Chen ; Gino Fragomeni ; Xiaowen Fang. 2023. p. 3-21 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Cauz, M , Septon, T & Dumas, B 2023, Interaction Techniques to Control Information Clutter in a Pervasive Augmented Reality Scenario. Dans JYC Chen, G Fragomeni & X Fang (eds), HCI International 2023 – Late Breaking Papers - 25th International Conference on Human-Computer Interaction, HCII 2023, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), VOL. 14058, p. 3-21, 25th International Conference on Human-Computer Interaction
, Copenhagen, Danemark, 23/07/23. https://doi.org/10.1007/978-3-031-48050-8_1

Interaction Techniques to Control Information Clutter in a Pervasive Augmented Reality Scenario. / Cauz, Maxime ; Septon, Thibaut ; Dumas, Bruno.
HCI International 2023 – Late Breaking Papers - 25th International Conference on Human-Computer Interaction, HCII 2023, Proceedings. Ed. / Jessie Y. C. Chen; Gino Fragomeni; Xiaowen Fang. 2023. p. 3-21 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol 14058).

Résultats de recherche: Contribution dans un livre/un catalogue/un rapport/dans les actes d'une conférence › Chapitre (revu par des pairs) › Revue par des pairs

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AB - 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.

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Cauz M , Septon T , Dumas B. Interaction Techniques to Control Information Clutter in a Pervasive Augmented Reality Scenario. Dans Chen JYC, Fragomeni G, Fang X, rédacteurs en chef, HCI International 2023 – Late Breaking Papers - 25th International Conference on Human-Computer Interaction, HCII 2023, Proceedings. 2023. p. 3-21. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-031-48050-8_1