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Raising Curiosity about Open Data via the ‘Physiradio’ Musicalization IoT Device Cover

Raising Curiosity about Open Data via the ‘Physiradio’ Musicalization IoT Device

Open Access
|Oct 2020

Figures & Tables

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Figure 1

Frequencies of senses usage in the 51 DP papers analysed.

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Figure 2

Can you spot the device? (hint: LEDs).

Table 1

The mapping table. L# is the listening order used during the field tests. (*) relative humidity ≥ 85%.

L#MoodGenresWeatherColour
1Annoyed, frustated, irritatedClassicalSmoke, haze, sand (annoying and polluted weather)Magenta
2Angry, aggressiveMetalClear and high humidity (*)Red
3Sleepy, bored, tiredSmooth jazzRain, clouds, fog, mist, drizzleBlue violet
4Happy (feeling good, delighted…)Summer hits (mix of sun and popular music)ClearYellow
5FearHeavy/extreme metalThunderstorm, tornado, squall, ash, dust (dangerous weather)Dark green
6Sad, depressedvlo fiRain, clouds, fog, mist, drizzle and high humidity (*)Dark blue
7Xmas is comingChristmas songsSnowWhite
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Figure 3

The Physiradio prototype: outside and inside.

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Figure 4

Relative matches per listening. The left box shows the listening order during the field tests and the relative matching rates, namely when the user guessed the right mapping, plotted on the right box. Number of subjects: 58.

Language: English
Submitted on: Jun 11, 2020
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Accepted on: Sep 30, 2020
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Published on: Oct 21, 2020
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2020 Andrea Trentini, Simone Scaravati, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.