Original title: AI-Driven Analysis of the Effects of Recreational Activities to Well-Being using Physiological Responses: A survey
Aditi Site, Tarmo Lipping · September 2026
Well-being includes our mental, physical, social, and thinking health. Fun recreational activities help improve it, but tracking how much they help is tricky because people usually just fill out personal surveys. The authors looked at research that uses artificial intelligence to study physical body signals instead. These signals include heart rate, changes in heart rate rhythms, skin reactions, and brain activity. By reading these body signs, computer tools can measure well-being in a clear, measurable way. The authors reviewed past studies to see how researchers collected this data, what activities they tested, and how they analyzed the results. Finally, the authors designed a new setup to improve how future projects collect, analyze, and display this well-being information.
Imagine trying to figure out if gardening improves your mood, but you're unsure if it's the plants, the sunlight, or the physical activity. It's hard to pinpoint the exact cause. In this paper, researchers use sensors to monitor your body's reactions, like heart rate, while you garden, giving a clearer measure of how the activity itself affects your well-being.
This matters because well-being affects everyone's quality of life, and using body signals provides a more accurate way to evaluate what activities truly benefit us, beyond subjective self-reports.
This study is a review, so it does not present new experimental data. The proposed framework is theoretical and has not been tested in practice. It focuses on summarizing existing work, not on proving causal links between activities and well-being.
Ask anything about this paper. Answers come from its abstract, and say so when the abstract doesn't cover your question.
AI-Driven Analysis of the Effects of Recreational Activities to Well-Being using Physiological Responses: A survey — Aditi Site, Tarmo Lipping
Abstract licence: CC0
Explanation generated by Synthesis from the abstract — it is not the original paper. This is a preprint, so it hasn't necessarily been peer reviewed.