59 citations · 95 across the 16 of their papers we have counts for
5 papers · 1 filter
MindScape Study: Integrating LLM and Behavioral Sensing for Personalized AI-Driven Journaling Experiences
Subigya Nepal, Arvind Pillai, William Campbell +14
Mental health concerns are prevalent among college students, highlighting the need for effective interventions that promote self-awareness and holistic well-being. MindScape pionee…
Contextual AI Journaling: Integrating LLM and Time Series Behavioral Sensing Technology to Promote Self-Reflection and Well-being using the MindScape App
Subigya Nepal, Arvind Pillai, William Campbell +11
MindScape aims to study the benefits of integrating time series behavioral patterns (e.g., conversational engagement, sleep, location) with Large Language Models (LLMs) to create a…
MoodCapture: Depression Detection Using In-the-Wild Smartphone Images
Subigya Nepal, Arvind Pillai, Weichen Wang +9
MoodCapture presents a novel approach that assesses depression based on images automatically captured from the front-facing camera of smartphones as people go about their daily liv…
Social Isolation and Serious Mental Illness: The Role of Context-Aware Mobile Interventions
Subigya Nepal, Arvind Pillai, Emma M. Parrish +4
Social isolation is a common problem faced by individuals with serious mental illness (SMI), and current intervention approaches have limited effectiveness. This paper presents a b…
A Survey of Passive Sensing for Workplace Wellbeing and Productivity
Subigya K. Nepal, Gonzalo J. Martinez, Arvind Pillai +9
The modern workplace is undergoing a radical transformation, driven by technological advances that blur the boundaries between human capability and digital augmentation. At the for…