30 citations · 74 across the 10 of their papers we have counts for
11 papers
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…
PsychAdapter: Adapting LLM Transformers to Reflect Traits, Personality and Mental Health
Huy Vu, Huy Anh Nguyen, Adithya V Ganesan +8
Artificial intelligence-based language generators are now a part of most people's lives. However, by default, they tend to generate "average" language without reflecting the ways i…
Explaining GPTs' Schema of Depression: A Machine Behavior Analysis
Adithya V Ganesan, Vasudha Varadarajan, Yash Kumar Lal +9
Use of large language models such as ChatGPT (GPT-4/GPT-5) for mental health support has grown rapidly, emerging as a promising route to assess and help people with mood disorders…
Large Language Models Show Human-like Social Desirability Biases in Survey Responses
Aadesh Salecha, Molly E. Ireland, Shashanka Subrahmanya +3
As Large Language Models (LLMs) become widely used to model and simulate human behavior, understanding their biases becomes critical. We developed an experimental framework using B…
Robust language-based mental health assessments in time and space through social media
Siddharth Mangalik, Johannes C. Eichstaedt, Salvatore Giorgi +8
Compared to physical health, population mental health measurement in the U.S. is very coarse-grained. Currently, in the largest population surveys, such as those carried out by the…
Empathic Conversations: A Multi-level Dataset of Contextualized Conversations
Damilola Omitaomu, Shabnam Tafreshi, Tingting Liu +5
Empathy is a cognitive and emotional reaction to an observed situation of others. Empathy has recently attracted interest because it has numerous applications in psychology and AI,…