Filters uncovered: investigating the impact of AR face filters and self-view on videoconference fatigue and affect
The rise of videoconferencing amidst the COVID-19 pandemic has brought about a new phenomenon, videoconference fatigue (VF), which refers to the emotional and physical exhaustion felt after videoconference meetings. Features of videoconference platforms, such as the self-view function and small scre...
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| Main Authors: | , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/178548 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | The rise of videoconferencing amidst the COVID-19 pandemic has brought about a new phenomenon, videoconference fatigue (VF), which refers to the emotional and physical exhaustion felt after videoconference meetings. Features of videoconference platforms, such as the self-view function and small screen size, increases self-awareness and cognitive load, resulting in increased negative affect and VF. However, AR face filters can soften facial expressions to reduce self-awareness and increase positive affect. Drawing from the theory of objective self-awareness, this study thus assesses the influence of AR face filters and self-view on users’ affect and perceived VF, through a 2 × 2 dyadic between-subjects experiment (N = 154). Our findings do not support the theory of objective self-awareness. Using AR face filters led to higher VF, but neither AR face filters nor self-view was significantly associated with affect. An alternative theory such as the expectancy violations theory may explain such results. Theoretical and practical implications are discussed. |
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