$WEAT questions commercial methods of biometric data interpretation
$WEAT are smart garments that track sweat output level and assign monetary values based on the wearer’s socio-economic status.
These garments are designed for a speculative alternate future where biometrics can be directly translated into a dollar value. This absurd translation is a commentary on how biometrics are currently being collected and interpreted.
Computing electronic sensors are becoming cheaper and more accessible. Coincide with the rise of wearable computing and the quantified-self movement, biometrics can now be collected in reliable ways. However, “real” understanding of the data is still a challenge because the meanings are up to the interpreters.
$weat, the project, questions current methods of biometric data interpretation. By proposing absurd methods of interpretation, the project proposes that the users can reclaim the interpretation process for themselves. Businesses collect biometric data from customers to gain an edge on the market. $weat asks what happens when the technology is used to further exploit lower socioeconomic groups. The project calls attention to the implications associated with the widespread collection of biometrics data on un-informed and under-represented minority groups.
My Role: UXUI, Product Development, Market Research
Tools used: Adobe Suite, Eagle CAD, Arduino, Solidworks, CNC
Philips Hue System
Smart lighting UX UI design explorations
Billy Dang @ 2018