Akademik Veri Yönetim Sistemi
4th Eurasian Conference on Human-Computer Interaction (HCI-E 2025), Baku, Azerbaycan, 5 - 06 Aralık 2025, ss.1-14, (Tam Metin Bildiri)
Nowadays, increasing workload, fast-paced lifestyles negatively affect individuals' mental well-being by increasing stress. However, effective technological solutions for stress management are often inaccessible due to high costs and processing power requirements. This study presents a low-cost mobile recommendation application capable of stress detection in real time using electroencephalography (EEG) data from a single-channel NeuroSky MindWave Mobile 2 device. The application analyzes the data with low processing power to assess stress levels and provides personalized relaxation suggestions such as music, breathing exercises, or meditation. Furthermore, a user study with 28 participants revealed that EEG based measurements and self-reported scores of State-Trait Anxiety Inventory (STAI) reflected users' stress levels in a similar way. Additionally, user experience evaluation of the application revealed high perceived usability and a generally positive interaction experience based on UMUX-Lite score of 86.31 and AttrakDiff score of 1.89. These findings suggest that the application can support mental well-being through accessible, real-time stress detection and interactive feedback mechanisms. In addition, the results highlight the potential of EEG-based mobile technologies in promoting emotional wellness and offer a promising example of user-centered design for quality-of-life enhancement.