most citedInvestigating Affective Use and Emotional Well-being on ChatGPT

17 citations · 18 across the 5 of their papers we have counts for

collaborators

6 papers

cs.HC2025★ 17 cited

Investigating Affective Use and Emotional Well-being on ChatGPT

Jason Phang, Michael Lampe, Lama Ahmad +8

As AI chatbots see increased adoption and integration into everyday life, questions have been raised about the potential impact of human-like or anthropomorphic AI on users. In thi…

cs.HC2025

How AI and Human Behaviors Shape Psychosocial Effects of Extended Chatbot Use: A Longitudinal Randomized Controlled Study

Cathy Mengying Fang, Auren R. Liu, Valdemar Danry +8

As people increasingly seek emotional support and companionship from AI chatbots, understanding how such interactions impact mental well-being becomes critical. We conducted a four…

cs.CY2024

Towards Ethical Personal AI Applications: Practical Considerations for AI Assistants with Long-Term Memory

Eunhae Lee

One application area of long-term memory (LTM) capabilities with increasing traction is personal AI companions and assistants. With the ability to retain and contextualize past int…

cs.HC2024

The Power of Perception in Human-AI Interaction: Investigating Psychological Factors and Cognitive Biases that Shape User Belief and Behavior

Eunhae Lee

This thesis investigates the psychological factors that influence belief in AI predictions, comparing them to belief in astrology- and personality-based predictions, and examines t…

cs.HC2024★ 1 cited

Super-intelligence or Superstition? Exploring Psychological Factors Influencing Belief in AI Predictions about Personal Behavior

Eunhae Lee, Pat Pataranutaporn, Judith Amores +1

Could belief in AI predictions be just another form of superstition? This study investigates psychological factors that influence belief in AI predictions about personal behavior,…

cs.LG2024

The impact of model size on catastrophic forgetting in Online Continual Learning

Eunhae Lee

This study investigates the impact of model size on Online Continual Learning performance, with a focus on catastrophic forgetting. Employing ResNet architectures of varying sizes,…