Anon-Emoji: An Optical See-Through Augmented Reality System for Reducing Appearance Bias in Social Interactions

Research output: Contribution to conferencePaperResearchpeer-review

Standard

Anon-Emoji: An Optical See-Through Augmented Reality System for Reducing Appearance Bias in Social Interactions. / Belongie, Serge; Sun, Ran; Haraldsson, Harald; Zhao, Yuhang.

2019.

Research output: Contribution to conferencePaperResearchpeer-review

Harvard

Belongie, S, Sun, R, Haraldsson, H & Zhao, Y 2019, 'Anon-Emoji: An Optical See-Through Augmented Reality System for Reducing Appearance Bias in Social Interactions'. <https://vision.cornell.edu/se3/wp-content/uploads/2019/06/35_Ran_Sun_CVPR_Submission.pdf>

APA

Belongie, S., Sun, R., Haraldsson, H., & Zhao, Y. (2019). Anon-Emoji: An Optical See-Through Augmented Reality System for Reducing Appearance Bias in Social Interactions. https://vision.cornell.edu/se3/wp-content/uploads/2019/06/35_Ran_Sun_CVPR_Submission.pdf

Vancouver

Belongie S, Sun R, Haraldsson H, Zhao Y. Anon-Emoji: An Optical See-Through Augmented Reality System for Reducing Appearance Bias in Social Interactions. 2019.

Author

Belongie, Serge ; Sun, Ran ; Haraldsson, Harald ; Zhao, Yuhang. / Anon-Emoji: An Optical See-Through Augmented Reality System for Reducing Appearance Bias in Social Interactions. 4 p.

Bibtex

@conference{6807f84ef08c48d9a826903cdd18ef73,
title = "Anon-Emoji: An Optical See-Through Augmented Reality System for Reducing Appearance Bias in Social Interactions",
abstract = "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{\textquoteright}s facial features with an emotion-presenting emoji model in 3D space.",
author = "Serge Belongie and Ran Sun and Harald Haraldsson and Yuhang Zhao",
year = "2019",
language = "English",

}

RIS

TY - CONF

T1 - Anon-Emoji: An Optical See-Through Augmented Reality System for Reducing Appearance Bias in Social Interactions

AU - Belongie, Serge

AU - Sun, Ran

AU - Haraldsson, Harald

AU - Zhao, Yuhang

PY - 2019

Y1 - 2019

N2 - 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.

AB - 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.

M3 - Paper

ER -

ID: 304745735