Face Value

Face Value 

In "Face Value", players get attributes that describe a person without giving any information about their gender or looks (f.e. name, age, job, social status, living conditions, ...). In a 2D character creator they then design a character that matches their image of this person. Their choices for each prompt (f.e. skin color, hair length, ...) get collected in a data bank and players then get a statistic of all players choices at the end. This data could then be used to identify biases.

 This project was made by four students in the context of the European Game Science Lab (EGSL) Game Jam. This four-day-Event was all about reflecting on societal and cognitive biases and creating a prototype that engages with these themes.

Team HEVININE

Helene Voß
Vinni Vogel
Nicole Huwe
Nele Richter