Research
Exploring the intersection of human emotion, smartphone sensing, and social media behavior
Detecting Negative Emotions During Social Media Use on Smartphones
Exploring how smartphone sensor data — including touch interactions — can classify social media users' emotions during typical tasks like browsing and chatting. This work combines affective computing with HCI to build real-time emotion detection systems.
Amor: Supporting Emerging Adult Couples to Manage Finances
A mobile application that bridges emerging adult couples to pool and spend money together for a common goal. Amor helps couples explore activities that harmonize with their characteristics while encouraging them to achieve shared financial objectives.
Spotlight: Donate Your Stories
Addressing the growing number of single-person households in South Korea, focusing on male OPH in their 50s — a demographic on the blind spot of welfare. We investigated their living, economic, and social challenges to design meaningful interventions.