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researcher

J. Eichstaedt

4 papers hereh-index 399.6k citations123 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.AI2
  • cs.CL1
  • cs.HC1

identity via Semantic Scholar / OpenAlex

activity
20242026
collaborators

4 papers

cs.HC2026

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…

cs.CL2025

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…

cs.AI2025

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…

cs.AI2024

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…

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