# Using Smartwatches in Stress Management, Mental Health, and Well-Being: A Systematic Review
## 3 Smartwatches as Stress Assessment Tools  
According to [PERSON] [12], their study is grounded in a multidimensional theoretical framework that combines the analysis of perceived benefits and risks with the monitoring of pre-existing lifestyle imbalances. Within this framework, the methodology relies on Likert-scale questionnaires designed to measure both objective and subjective parameters that determine the intention to continue using a smartwatch. Through analytical techniques, this study identifies how perceived benefits--such as increased productivity, entertainment, and enhancement of social image--activate psychological mechanisms of inspiration and well-being, which in turn positively influence the intention to continue using the device. This approach is characterized by a clear delineation of variables and the application of sequential mediation models that explain how internal psychological processes mediate the effect of perceived benefits on the consumer's final decision [12]. In addition, [PERSON] and [PERSON]'s [13] systematic review closely examines the uses of smartwatches to promote health and wellness, highlighting both their capabilities and limitations. Their methodology involves a rigorous database search using specific selection criteria, and findings are categorized based on device type (e.g., consumer-grade, developer devices, or prototypes), study goals, and application environments. The authors point out that although most studies focus on physical activity monitoring, the real value of smartwatches lies in their ability to support comprehensive health interventions--such as the self-management of chronic conditions, support for therapeutic programs, and continuous vital sign data collection. In addition, the review emphasizes technical and methodological challenges, such as the need for large-scale field studies, data reliability, and the integration of smartwatches with other technologies (e.g., Internet of Things), which are critical for their wider adoption in clinical settings. The Pomodoro technique, a popular strategy to avoid procrastination, is applied through the Foqus app by breaking tasks into 25 min sessions followed by 5 min breaks. \begin{table}
\begin{tabular}{c c c} \hline \hline
**Study Title** & **Algorithms Used** & **Purpose** \\ \hline [PERSON] et al. [4] & SVM, Naive Bayes, Logistic Regression, Random Forest, KNN & Stress detection using EDA signals. Algorithms were chosen based on their ability to manage multidimensional and nonlinear features. \\ [PERSON] et al. [5] & SVM, KNN, Random Forest, Logistic Regression & Evaluation of different signals (HRV, GSR, ST) and algorithms for smartwatch-based stress detection. \\ [PERSON] et al. [6] & k-Nearest Neighbors, Decision Tree, Random Forest & Biometric identification through daily activity recognition using mobile/time sensors. Classification between healthy and disordered individuals (e.g., schizophrenia, MDD, bipolar) using wearable data. \\ [PERSON] et al. [8] & k-Nearest Neighbors, Decision Tree, Random Forest & Motion-based identification models using smartwatch sensor data. Comparative accuracy evaluation of algorithms in mental health diagnosis. Stress level classification using GSR, RR interval, and temperature. \\ [PERSON] et al. [8] & BNN, ANN & Respiration rate prediction and final stress level classification using Boosting techniques. Social sensing through speech and activity signal analysis to detect behavioral patterns associated with mental health. \\ \hline \hline \end{tabular}
\end{table} 
Table 1: Overview of studies, algorithms used, and study purpose. This structure helps users maintain focus and avoid the fatigue that often accompanies long, uninterrupted work periods. The third feature is the use of positive reinforcement messages that support the user's mental state. The app displays encouraging phrases like \"Well done!\" after completing a task or session, providing psychological support. These messages enhance users' self-esteem and sense of achievement. [PERSON] et al.