@inproceedings{10.1145/3706599.3719827,
author = {Li, Chaojing and Watson, Zillah and Pan, Xueni and Gillies, Marco Fyfe Pietro},
title = {Forced Smile Creates Positive Mood: A Qualitative Analysis With A VR Experience},
year = {2025},
isbn = {9798400713958},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3706599.3719827},
doi = {10.1145/3706599.3719827},
abstract = {We developed a VR project that uses smile tracking as a novel interaction mechanic to foster emotional well-being and prompt reflection on the meaning of a smile in social connection. This is based on a broad literature that indicates that ‘faking’ a smile can result in a genuine improvement in mood. We conducted an experiment in 60 participants within two between-groups and analyzed the qualitative data of 11 selected participants in this paper in order to understand in detail what the experience of faking smiles is like. Through guided exploration in a VR environment and smile-triggered transformations of NPCs, players reported improved mood, relaxation, and a sense of healing. Although some initially perceived the mechanic of the smile as ‘forced’, they ultimately transitioned to genuine amusement and deeper engagement. In addition, the experience highlighted the participants’ realization that their real-world smiles are sometimes too subtle, potentially affecting social bonds.},
booktitle = {Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems},
articleno = {284},
numpages = {8},
keywords = {Virtual Reality, Smile Interaction, Social Connection, Qualitative Research, Affective Design, Emotional Well-being},
location = {
},
series = {CHI EA '25}
}

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