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Exploring Augmented Reality Waste Data Representations for Eco Feedback

Authors :
Ambre Assor
Arnaud Prouzeau
Pierre Dragicevic
Martin Hachet
Popular interaction with 3d content (Potioc)
Laboratoire Bordelais de Recherche en Informatique (LaBRI)
Université de Bordeaux (UB)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Centre National de la Recherche Scientifique (CNRS)-Université de Bordeaux (UB)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Centre National de la Recherche Scientifique (CNRS)-Inria Bordeaux - Sud-Ouest
Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)
ANR-19-CE33-0012,EMBER,Visualisations situées pour l'analyse de données personnelles(2019)
Source :
CHI EA '23: Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, CHI 2023-Conference on Human Factors in Computing Systems, CHI 2023-Conference on Human Factors in Computing Systems, Apr 2023, Hambourg, Germany. pp.1-4, ⟨10.1145/3544549.3583905⟩
Publication Year :
2023
Publisher :
HAL CCSD, 2023.

Abstract

International audience; In this demo, we show how Augmented Reality can be used to visualize waste accumulation data in an engaging and visceral way.The negative impact humans have on the environment is partly caused by thoughtless consumption leading to unnecessary waste. Alikely contributing factor is the relative invisibility of waste: waste produced by individuals is either out of their sight or quickly taken away. Nevertheless, waste disposal systems sometimes break down, creating natural information displays of waste production that can have educational value. We take inspiration from such natural displays and introduce a class of situated visualizations we call augmented-reality waste accumulation visualizations or ARwavs, which are literal representations of waste data embedded in users’ familiar environment. We implemented examples of ARwavs and will present them at the venue.

Details

Language :
English
Database :
OpenAIRE
Journal :
CHI EA '23: Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, CHI 2023-Conference on Human Factors in Computing Systems, CHI 2023-Conference on Human Factors in Computing Systems, Apr 2023, Hambourg, Germany. pp.1-4, ⟨10.1145/3544549.3583905⟩
Accession number :
edsair.doi.dedup.....f0e8a013761d1ca442c46c1b651dd2ee
Full Text :
https://doi.org/10.1145/3544549.3583905⟩