Egocentric Sonification of Continuous Spatial Data in Situated Analytics

Autor: Berger, M.
In:

2020 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)

Autor: IEEE
ISBN: 978-1-7281-6532-5
DOI: 10.1109/VRW50115.2020.00180
Seite: 659 - 660
Jahr: 2020

Einordung:
Institut: Professur Geodäsie und Geoinformatik

Abstract:
The combination of increasingly ubiquitous spatial data and Augmented Reality (AR) facilitates interactive, spatially embedded reasoning for users who are physically present in a data environment. Many techniques from visual and immersive analytics carry over into this ”Situated Analytics” context. However, continuous, wide-area datasets like air quality records are difficult to display visually without obscuring a large part of the real environment. Established egocentric techniques usually represent a detailed view of the near field at the expense of the larger data context. We present an approach towards a situated sonification that can restore the surrounding data context.

Zur Publikation: Mitarbeiter, Projekte
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