{'fraction_non_alphanumeric': 0.015523932729624839, 'fraction_numerical': 0.0, 'mean_word_length': 5.142857142857143, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
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.