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In a similar study by Sandstrom et al [11], subjects reported emotional pleasantness in a societal environment, whereas positive and negative arousal at work. A daily mood assessment tool was proposed by Ma et al [12] that utilized mobile phone sensor data such as location, audio, text messages, accelerometer, and light to classify mood. However, this study considered limited contextual parameters, and the subjective variability as well as transitions of emotional states remained uninvestigated.
JMIR Mhealth Uhealth 2020;8(9):e17818
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