  We present Lemotif, an integrated natural language processing and image
generation system that uses machine learning to (1) parse a text-based input
journal entry describing the user's day for salient themes and emotions and (2)
visualize the detected themes and emotions in creative and appealing image
motifs. Synthesizing approaches from artificial intelligence and psychology,
Lemotif acts as an affective visual journal, encouraging users to regularly
write and reflect on their daily experiences through visual reinforcement. By
making patterns in emotions and their sources more apparent, Lemotif aims to
help users better understand their emotional lives, identify opportunities for
action, and track the effectiveness of behavioral changes over time. We verify
via human studies that prospective users prefer motifs generated by Lemotif
over corresponding baselines, find the motifs representative of their journal
entries, and think they would be more likely to journal regularly using a
Lemotif-based app.
