Part of Face Value

Face to Face

Ningli Zhu

2019, video, duration 7 minutes 

Face to Face reflects on the intimate connections between humans and emotion recognition software, and the moments when boundaries are blurred between human and technology, between the self and the other. This fictional video essay investigates how algorithmic systems have become implemented in human interactions, and how this affects our representation and expression of identity. Face to Face exposes how facial recognition technology categorises our faces and reduces them to binary codes, while also drawing attention to the ways these systems allow for alternative explorations of our digital identities and new possibilities for people with social anxiety. 


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