Self-Monitoring of Emotions: a Novel Personal Informatics Solution for an Enhanced Self-Reporting

Personal Informatics systems help people to collect personally relevant information for the purpose of self-reflection and self-knowledge. Moods and emotions are ones of the most complex data to gather, since a complete automation is impossible due to the need for a cognitive interpretation by the person. The goal of this paper is to present a novel Personal Informatics solution which overcomes some limitations in tracking emotions. To this aim, we propose a complex PI solution based on tangible interface and automatic tracking which support users in tracking their emotions with a limited cognitive load. Our initial efforts on these key directions will be described.

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