Ambient Analytics: Calm Technology for Immersive Visualization and Sensemaking

Fuente: arXiv
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Auteurs principaux: Hubenschmid, Sebastian, Srinivasan, Arvind, Elmqvist, Niklas, Schmalstieg, Dieter, Sedlmair, Michael
Format: Preprint
Publié: 2026
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author Hubenschmid, Sebastian
Srinivasan, Arvind
Elmqvist, Niklas
Schmalstieg, Dieter
Sedlmair, Michael
author_facet Hubenschmid, Sebastian
Srinivasan, Arvind
Elmqvist, Niklas
Schmalstieg, Dieter
Sedlmair, Michael
contents Augmented reality has great potential for embedding data visualizations in the world around the user. While this can enhance users' understanding of their surroundings, it also bears the risk of overwhelming their senses with a barrage of information. In contrast, calm technologies aim to place information in the user's attentional periphery, minimizing cognitive load instead of demanding focused engagement. In this column, we explore how visualizations can be harmoniously integrated into our everyday life through augmented reality, progressing from visual analytics to ambient analytics.
format Preprint
id arxiv_https___arxiv_org_abs_2602_19809
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Ambient Analytics: Calm Technology for Immersive Visualization and Sensemaking
Hubenschmid, Sebastian
Srinivasan, Arvind
Elmqvist, Niklas
Schmalstieg, Dieter
Sedlmair, Michael
Human-Computer Interaction
Augmented reality has great potential for embedding data visualizations in the world around the user. While this can enhance users' understanding of their surroundings, it also bears the risk of overwhelming their senses with a barrage of information. In contrast, calm technologies aim to place information in the user's attentional periphery, minimizing cognitive load instead of demanding focused engagement. In this column, we explore how visualizations can be harmoniously integrated into our everyday life through augmented reality, progressing from visual analytics to ambient analytics.
title Ambient Analytics: Calm Technology for Immersive Visualization and Sensemaking
topic Human-Computer Interaction
url https://arxiv.org/abs/2602.19809