Lieblingsfarbe, visualisiert in einem Würfel, wobei jede Achse einer anderen Farbe entspricht (Rot, Grün, Blau). Das Differenzbild zeigt, wo ein Geschlecht stärker ausgeprägt ist. Einen vollständigen 3D-Plot mit Schiebereglern für Geschlecht und Alter finden Sie hier: 3D-Ansicht. [OC]
Von andyviner
5 Kommentare
Forest Moss Green vs Blue
The visualization is awesome! I run a small website, a tiny color guessing game and many poeple suggested to do a chart split by gender (but unfortunatly I don’t track the gender). Your articles is intersting in the sense of guessing the gender based on the color perception.
Btw, the link to Github does not work (https://github.com/andreasviner/portfolio/tree/main/main/projects_data/2020-colour-polygraph) (in fact none of the links at the end seem to work)
> **THE QUESTION**
> Does ***which colours you prefer***, and ***how you click on them***, carry enough signal to predict who you are? I had a hunch the answer was yes, and I wanted the dataset to be big enough that the answer wasn’t a coincidence.
This one… well, yes, of course. If this wasn’t the case, your passive digital profile on websites would be meaningless to advertisers.
**> THE SURVEY**
> Participants answered three demographic questions (age, gender and a 1 to 10 mood rating), then completed twenty trials. Each trial showed four colour swatches and asked them to pick the one they liked best. After all twenty, the sixteen surviving favourites were paired off in groups of four, then in a final round of four, until one colour was left standing.
Alongside the picks, the survey quietly logged the meta-signal: how long each response took, where on the swatch the click landed, whether the cursor wavered, and the order participants tended to scan the options.
Maybe I’m missing something… how was response speed and dwell time data presented in the cubes?
As a red-green-blue color blind person, I can not express with language how maddening I find this. 😄
Everybody likes sky it seems