P Comp week 1: Translating Color Into Emotions Fantasy Device

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 First week...exciting exchange of ideas with 3xL ( 3 names, all start with L)

Real Emotion are hard to translate into words, specially in the heat of the moment. What if we converted the emotions into color. 

Existing emotion-detection methods rely on audiovisual cues or on-body sensors, but there are downsides to both techniques. Facial expressions are famously unreliable, while on-body sensors such as chest bands and ECG monitors are inconvenient to wear and become inaccurate if they change position over time. (M1).

Detecting emotions with wireless signal is fascinating, now the question is how to make a data visualization art project with this device.

The idea is to install a screen that has the silhouette of a person in a dark gallery space. An audio recorded by the person printed in the silhouette will play. 

Visitors will interact with the audio by having their emotions detected live while listening to the audio playing. On display there will be colors corresponding to the emotion the visitor is feeling while listening to the story.  

Other option

The people telling the story had their emotions recorded. Each emotion is categorized by a color, well an array of colors as the intensity of the feeling will determined the shade and opacity of color.  The tone of voice will determined the width of the stroke.On display there will be lines that will align with the tone of voice and colors corresponding to the emotion.





 

Research Source  

(M1)Detecting emotions with wireless signals

2016 MIT News | Massachusetts Institute of Technology

 




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