5 papers
Within-person prediction of depressive symptom change using year-long Screenome data and CES-D assessments
Merve Cerit, Andrea Mock, Vryan Almanon Feliciano +4
Predicting whether an individual's depressive symptoms will worsen, remain stable, or improve over the coming weeks can enable earlier and more targeted care, yet prospective withi…
Daily Affect Fluctuations in Phone Screen Content Predict Anxiety and Depressive Symptoms
Christopher A. Kelly, Yikun Chi, Nicholas Haber +5
The relationship between digital media use and mental health remains poorly understood, in part because real-world digital behavior is rarely captured at scale. This intensive long…
Learning Next Action Predictors from Human-Computer Interaction
Omar Shaikh, Valentin Teutschbein, Kanishk Gandhi +8
Truly proactive AI systems must anticipate what we will do next. This foresight demands far richer information than the sparse signals we type into our prompts -- it demands reason…
Media Content Atlas: A Pipeline to Explore and Investigate Multidimensional Media Space using Multimodal LLMs
Merve Cerit, Eric Zelikman, Mu-Jung Cho +4
As digital media use continues to evolve and influence various aspects of life, developing flexible and scalable tools to study complex media experiences is essential. This study i…
Personality Differences Drive Conversational Dynamics: A High-Dimensional NLP Approach
Julia R. Fischer, Nilam Ram
This paper investigates how the topical flow of dyadic conversations emerges over time and how differences in interlocutors' personality traits contribute to this topical flow. Lev…