Abstract
Data visualization, and to a lesser extent data sonification, are classic tools to the scientific community. However, these two approaches are very rarely combined, although they are highly complementary: our visual system is good at recognizing spatial patterns, whereas our auditory system is better tuned for temporal patterns. In this article, data representation methods are proposed that combine visualization, sonification, and spatial audio techniques, in order to optimize the user’s perception of spatial and temporal patterns in a single display, to increase the feeling of immersion, and to take advantage of multimodal integration mechanisms. Three seismic data sets are used to illustrate the methods, covering different physical phenomena, time scales, spatial distributions, and spatio-temporal dynamics. The methods are adapted to the specificities of each data set, and to the amount of information that the designer wants to display. This leads to further developments, namely the use of audification with two time scales, the switch from pure audification to time-modulated noise, and the switch from pure audification to sonic icons. First user feedback from live demonstrations indicates that the methods presented in this article seem to enhance the perception of spatio-temporal patterns, which is a key parameter to the understanding of seismically active systems, and a step towards apprehending the processes that drive this activity.
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Data availability
all datasets used in this study are available on the web at the following addresses (see also the manuscript):
- https://www.usgs.gov/volcanoes/kilauea/monitoring
- https://www.usgs.gov/observatories/hawaiian-volcano-observatory
Notes
This process, known as audification, is maybe the first sonification technique that was used: in 1878 the early technology of telephone was used to listen to nervous impulses in muscles [5], cited by Dombois [6]; in 1924 bat scream recordings were slowed down and listened to [7]. On the contrary, electromagnetic waves have too high frequencies to be audible, they need to be slowed down for tuning the frequencies down until they reach our hearing range.
Wave Field Synthesis.
Vector-Based Amplitude Panning.
Distance-Based Amplitude Panning.
Head-Related Transfer Functions.
Description available at http://floriandombois.net/works/circum-pacific.html. See also Dombois’s “Surf” (2006) at http://floriandombois.net/works/acceleration.html and “Acceleration 2,200” (2003) at http://floriandombois.net/works/acceleration.html ; all URLs last retrieved June 16, 2021.
Part of this work was presented as a demo (no paper issued) at the Computer Music Multidisciplinary Research (CMMR) Symposium in Marseille, France, in October 2019.
Information available at https://volcanoes.usgs.gov/observatories/hvo/.
Information at https://pnsn.org/seismograms.
Freely available through an interactive web interface: https://www.pnsn.org/tremor.
Details available at http://www.fdsn.org/networks/detail/Y4_2014/.
Ardour is an open source digital audio workstation available at https://ardour.org/.
Words uttered by the listeners are in italic font.
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Acknowledgements
The authors would like to thank everyone who allowed them to make the audio-visual representations public: thanks to the CMMR organization team and attendance, thanks to the organizers and audience of the Open House days at LDEO/Columbia University, Junia, and Université Catholique de Lille, for giving helpful feedback.
Thanks also to Josh Crozier from the Department of Earth Sciences at the University of Oregon for generating the Kilauea waveform dataset from the catalog.
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Paté, A., Farge, G., Holtzman, B.K. et al. Combining audio and visual displays to highlight temporal and spatial seismic patterns. J Multimodal User Interfaces 16, 125–142 (2022). https://doi.org/10.1007/s12193-021-00378-8
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DOI: https://doi.org/10.1007/s12193-021-00378-8