THIR 2 at the NTCIR-13 Lifelog-2 Task : Bridging Technology and Psychology through the Lifelog Personality , Mood and Sleep Quality

In this paper, we use lifelog data provided by NTCIR13 and voluntarily gathered lifelog data on other users to give insights in four psychological categories. These categories include study of big five personality traits, mood detection, music mood and style detection and sleep quality prediction. The results on big five personality traits, including five binary classifiers of openness to experience, conscientiousness, extraversion, agreeableness and neuroticism, is a five digit in base-2 numeral system. The classifications of mood and music style are based on Thayer’s twodimensional model of mood. For sleep quality, we use three classes of high quality, borderline and poor quality sleep. To the best of our knowledge, this is the first research to link the physical data collected in lifelog and psychological analysis of user’s life. Our study shows encouraging results that existence of such kind of link is meaningful. We show the results predicted by our models and other statistics on mental health and psychological aspects of user’s life using our mental health insight tool.

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