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Abstract
Today’s young people face increasing psychological stress due to academic pressure, social isolation, and digital distractions. Traditional stress management apps often rely on static scripts, limiting their effectiveness. NieNie introduces an adaptive rhythmic system that combines wearable-based stress detection, rhythm biofeedback, and real-time guidance from large language models (LLMs).
By connecting physiological signals (e.g., HRV) with interactive squeezing gameplay, NieNie dynamically generates rhythm-based interventions and supportive language prompts. This embodied loop fosters immersive emotional regulation, offering a playful yet effective approach to stress relief. Preliminary studies highlight its potential to transform stress management into an adaptive, engaging, and scalable experience.
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Citation
Yu, Yichen, & Wang, Qiaoran. 2025.
NieNie: Adaptive Rhythmic System for Stress Relief with LLM-Based Guidance.
In Proceedings of the 2025 ACM International Symposium on Wearable Computers (ISWC ’25), October 12–16, 2025, Espoo, Finland. ACM. https://doi.org/10.1145/3714394.3750586
@inproceedings{yu2025nienie,
author = {Yu, Yichen and Wang, Qiaoran and Meng, [Co-Author]},
title = {NieNie: Adaptive Rhythmic System for Stress Relief with LLM-Based Guidance},
booktitle = {Proceedings of the 2025 ACM International Symposium on Wearable Computers (ISWC '25)},
year = {2025},
pages = {1--5},
publisher = {ACM},
address = {Espoo, Finland},
doi = {10.1145/3714394.3750586},
isbn = {979-8-4007-1481-8/25/10}
}