activity
20222026
most citedContextual AI Journaling: Integrating LLM and Time Series Behavioral Sensing Technology to Promote Self-Reflection and Well-being using the MindScape App

59 citations · 90 across the 14 of their papers we have counts for

collaborators
Showing 2026Show all

9 papers · 1 filter

cs.CL2026

Scaling Therapy Supervision: Assessing Psychotherapy Fidelity Using Large Language Models

Arvind Pillai, Alexis Roach, Jason Holden +11

Psychotherapy fidelity assessment measures how faithfully a therapist adheres to a treatment protocol, a critical determinant of positive patient outcomes. However, fidelity assess…

cs.HC2026

What do AI chatbots do after users decline therapeutic redirection for suicide thoughts?

Subigya Nepal, Ruth Heo, Emma M Parrish +1

Safety evaluations of artificial intelligence (AI) chatbots focus on therapeutic redirection, statements urging users who disclose suicide thoughts to seek help from crisis lines o…

cs.HC2026

Faithful Where It Can Be Checked: Auditing a Reflection Agent Against Its System Prompt in a Randomized Trial

Subigya K. Nepal, Serena Soh, Noah Vinoya +3

Conversational agents are increasingly used to guide reflection. A recent randomized trial compared a GPT-4o career reflection agent with the same program in a static journaling su…

cs.HC2026

Cyber Exodus: Burnout Symptoms, Exit Intention, and Peer Response in Online Cybersecurity Communities

Nadia Mehjabin, Ji Hyun Kim, Laura Barnes +3

Security practitioners burn out at high rates, and the resulting attrition is itself a security problem. This workforce is hard to study: security operations centers are closed to…

cs.HC2026

Not All Nudges Land: Behavioral Controllability and Elaboration Quality in AI-Supported Journaling

Nadia Mehjabin, Henry Kautz, Subigya Nepal

AI journaling tools can tailor prompts to a person's own sensed behavior, but it is unclear which behaviors respond to them. We analyzed 369 journal entries from an eight-week pass…

cs.LG2026

TimeSRL: Generalizable Time-Series Behavioral Modeling via Semantic RL-Tuned LLMs -- A Case Study in Mental Health

Yuang Fan, Lilin Xu, Millie Wu +8

Longitudinal passive sensing enables continuous health prediction, yet models often fail under cross-dataset distribution shifts. Traditional ML overfits cohort-specific artifacts,…

cs.SI2026

The Structure and Dynamics of the Online MAHA-sphere

Sabit Ahmed, Subigya Nepal, Henry Kautz

The "Make America Healthy Again" (MAHA) movement has created a complex ideological ecosystem within online communities, where advocacy for healthier lifestyles and whole-food diets…

cs.HC2026

Causal Stories from Sensor Traces: Auditing Epistemic Overreach in LLM-Generated Personal Sensing Explanations

Shanshan Zhu, Han Zhang, J. Doris Chi +2

LLMs are increasingly used to explain personal sensing data, translating traces of activity and mood into natural-language accounts of why an anomalous day may have occurred. Howev…

cs.HC2026

PULSE: Agentic Investigation with Passive Sensing for Proactive Affective Intervention in Cancer Survivorship

Zhiyuan Wang, Subigya Nepal, Ariful Islam +5

Cancer survivors face elevated rates of depression, anxiety, and emotional distress, yet self-report may be unavailable at some moments when support is relevant, a challenge we ter…