The Situational Influences of AR Face and Body Filters

Through digital augmentation it is already possible to smooth one's skin, don virtual bunny ears, or sparkle. With future augmented reality glasses we will be able to see and wear such augmentations while out and about. Yet, the effects of these digital changes to our appearance are presently poorly understood. We investigate how different kinds of facial and bodily augmentations influence how we are perceived by others. For this purpose we recruited four speakers to enact eight different scenarios, creating a dataset of 32 short videos. We apply a selection of beautification and scenario-specific augmented reality filters to these clips to create a set of 160 videos. We then evaluate how the speakers in these videos are perceived through a crowdsourced study with 165 participants. Our analysis shows that filters indeed have an effect on how speakers are perceived, modulating effects from other sources, such as who is speaking. The direction and magnitude of this effect is filter-dependent, pointing to the potential of designing them for specific social situations.

Authors

Institutions

Publication Details

Journal
ACM Transactions on Applied Perception
Published
2026-07-18
DOI
https://doi.org/10.1145/3832309
Primary Topic
Face recognition and analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Situational Influences of AR Face and Body Filters

Henning Pohl
ACM Transactions on Applied Perception
Face recognition and analysis
article

The Situational Influences of AR Face and Body Filters

Henning Pohl
article en

Abstract

Through digital augmentation it is already possible to smooth one's skin, don virtual bunny ears, or sparkle. With future augmented reality glasses we will be able to see and wear such augmentations while out and about. Yet, the effects of these digital changes to our appearance are presently poorly understood. We investigate how different kinds of facial and bodily augmentations influence how we are perceived by others. For this purpose we recruited four speakers to enact eight different scenarios, creating a dataset of 32 short videos. We apply a selection of beautification and scenario-specific augmented reality filters to these clips to create a set of 160 videos. We then evaluate how the speakers in these videos are perceived through a crowdsourced study with 165 participants. Our analysis shows that filters indeed have an effect on how speakers are perceived, modulating effects from other sources, such as who is speaking. The direction and magnitude of this effect is filter-dependent, pointing to the potential of designing them for specific social situations.

ACM Transactions on Applied Perception
Aalborg University (DK)
Reduced inequalities
Openalex Percentile: Top 8%
Face recognition and analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.