
High school students often experience reduced productivity during study sessions due to environmental distractions (noise, poor lighting, temperature) and unmanaged emotional states. Commercial affective computing systems are typically expensive and inaccessible. This study develops and evaluates a low-cost Raspberry Pi-based IoT desk assistant that monitors ambient conditions and delivers real-time visual feedback to enhance emotional awareness and focus.
IoT, student productivity, network, Raspberry Pi, Computer hardware, psychology, affective computing, programming, science
IoT, student productivity, network, Raspberry Pi, Computer hardware, psychology, affective computing, programming, science
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