Anon-Emoji: An Optical See-Through Augmented Reality System for Reducing Appearance Bias in Social Interactions
Research output: Contribution to conference › Paper › Research › peer-review
Facial expressions are an important part of human communication. At the same time, faces also reveal aspects of our identities – ethnicity, gender, or even sexual orientation – that can surface biases held by our counterparts and lead to downstream inequalities in our social interactions. However, we do not have the option to entirely change what we look like, or at least hide the identities that our faces might expose. As Optical See-Through (OST) Augmented Reality (AR) headsets possess the advantages of near-eyes display and better depth alignment between virtual renderings and the environment, we decided on an OST AR approach for the solution. In this paper, we present a system designed for OST AR headsets that occludes the subject’s facial features with an emotion-presenting emoji model in 3D space.
Original language | English |
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Publication date | 2019 |
Number of pages | 4 |
Publication status | Submitted - 2019 |
Externally published | Yes |
ID: 304745735