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Sonifying an Office Gadget to Indicate Air Quality

Name: Sonifying an Office Gadget to Indicate Air Quality
Keywords: Air quality levels, Other Engineering and Technologies, User study, Design, Cultural models, Musik, Indoor air pollution, Preventive action, Concrete modeling, Abstract modeling

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 01 Jan 2022 Sweden English Publisher:Zenodo

Authors: Selfridge, Rod; Barone, Carlo; Pauletto, Sandra;

doi: 10.5281/zenodo.6572709 , 10.5281/zenodo.6572708

Sonifying an Office Gadget to Indicate Air Quality

- Summary
- Subjects
- Metrics

Abstract

Poor indoor air quality can produce headaches, fatigue, as well as respiratory and vision issues. Sonification might provide a way to increase people’s awareness of their surrounding’s air quality and activate preventive actions. In this paper we present the prototype of a sonically augmented interactive office gadget that provides information about air quality when a person interacts with it. We report the results of a user study comparing four sonification models (Abstract, Musical, Concrete and Cultural Models). Results show that the Abstract, Musical and Concrete models are equally effective in displaying air quality levels, while the Cultural model performs less well. Additionally, the Concrete and Musical models are preferred over the Abstract and Cultural models as their sonic qualities are considered more appropriate for what they aim to represent. As a result of this study, we aim to further develop the Musical and Concrete models as well as a Hybrid Model that combines the main characteristics of both.

Sound for Energy

QC 20220607

SonicFunc

Country

Sweden

Related Organizations

Royal Institute of Technology
Sweden

Keywords

Air quality levels, Other Engineering and Technologies, User study, Design, Cultural models, Musik, Indoor air pollution, Preventive action, Concrete modeling, Abstract modeling, Air quality, Concretes, Sonifications, Annan teknik, Indoor air quality, Music, Hybrid model

Impact byBIP!

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	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average