Seeking a Reference Frame for Cartographic Sonification

Brittell, Megen E.

doi:10.21785/icad2018.020

Cited by 3 publications

(2 citation statements)

References 33 publications

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“…It is worth mentioning that sonification has been increasingly implemented in projects that shared the challenge of creating acoustical representations of the city. These projects include the displaying of the London subway system information with reference sounds (Nickerson et al 2017), the exploration of mapping techniques used in urban planning and design (Adhitya and Kuuskankare 2011) and the organization of geospatial data in geographic maps (Brittell 2018). An inspirational project is the Metrosynth (Gover 2018) which creates a sonification system of the Montreal subway system running in HTML5.…”

Section: Sonification and Sound Artsmentioning

confidence: 99%

Looking for a place for Sonification

et al. 2021

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This paper discusses the concept of sonification aplied to the Sons de Silício exhibition and more specifically to the design of Buzu, an audiovisual installation that generates an auditory image of the São Paulo bus transportation system. Buzu makes perceptible information of both the system’s planning and behavior during a particular week in October 2017. The work is an artistic outcome of the InterSCity project, an inter‐institutional research initiative concerning the Future Internet and the Smart Cities. Along with the discussion of the Buzu creative process we will examine mining and processing strategies related to the sonification of big data, data‐to‐sound mapping methods, auditory structure for displaying the material and the public exhibition of the work in the context of an artistic event.

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Section: Sonification and Sound Artsmentioning

confidence: 99%

Looking for a place for Sonification

et al. 2021

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“…In addition, Alty and Rigas devised the tool AudioGraph that paired notes to represent geospatial data points. In their representation, timbre indicated a particular axis and frequency the distance along that axis [10,11].…”

Section: Location and Orientationmentioning

confidence: 99%

Exploring Sonic Parameter Mapping for Network Data Structures

Hansen¹,

Baltaxe-Admony²,

Kurniawan³

et al. 2019

Proceedings of the 25th International Conference on Auditory Display (ICAD 2019)

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In this paper, we explore how sonic features can be used to represent network data structures that deﬁne relationships between elements. Representations of networks are pervasive in contemporary life (social networks, route planning, etc), and network analysis is an increasingly important aspect of data science (data mining, biological modeling, deep learning, etc). We present our initial findings on the ability of users to understand, decipher, and recreate sound representations to support primary network tasks, such as counting the number of elements in a network, identifying connections between nodes, determining the relative weight of connections between nodes, and recognizing which category an element belongs to. The results of an initial exploratory study (n=6) indicate that users are able to conceptualize mappings between sounds and visual network features, but that when asked to produce a visual representation of sounds users tend to generate outputs that closely resemble familiar musical notation. A more in-depth pilot study (n=26) more speciﬁcally examined which sonic parameters (melody, harmony, timbre, rhythm, dynamics) map most effectively to network features (node count, node classiﬁcation, connectivity, edge weight). Our results indicate that users can conceptualize relationships between sound features and network features, and can create or use mappings between the aural and visual domains.

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