University Of Georgia: Research Institution — Prolific Citations Library

Browse 4 peer-reviewed papers from University Of Georgia spanning Social and Emotional Human-AI Interaction, Psychosocial Effects of AI Chatbot Use (2023–2025). Research powered by Prolific's high-quality participant data.

This page lists 4 peer-reviewed papers from researchers at University Of Georgia in the Prolific Citations Library, a curated collection of research powered by high-quality human data from Prolific.

Papers (4 of 4)

Longitudinal Study on Social and Emotional Use of AI Conversational Agent

Authors: Mohit Chandra, Javier Hernandez, Gonzalo Ramos, Mahsa Ershadi, Ananya Bhattacharjee, Judith Amores, Ebele Okoli, Ann Paradiso, Shahed Warreth, Jina Suh

Year: 2025

Published in: ArXiv

Institution: Georgia Institute of Technology, Microsoft Research, University of Toronto, Microsoft

Research Area: Social and Emotional Human-AI Interaction, Psychosocial Effects of AI Chatbot Use

Discipline: Social Science

This study found that active use of conversational AI tools significantly increased perceived attachment, empathy, and emotional support from AI, while showing the potential for improving social and emotional interactions with proper safeguards.

Methods: Participants were divided into two groups: one group used conversational AI tools actively (AU, n=89), and a baseline group used AI and the internet regularly (BU, n=60). Emotional and social interaction measures were tracked over five weeks.

Key Findings: Perceived attachment towards AI, AI empathy, comfort in using AI for emotional support, stress management, and discussion of personal topics.

Sample Size: 149
I know this looks bad, but I can explain: Understanding when AI should explain actions in human-AI teams

Authors: R Zhang, C Flathmann, G Musick, B Schelble

Year: 2024

Published in: ACM Transactions on ..., 2024 - dl.acm.org

Institution: North Carolina State University, University of North Carolina at Charlotte, University of Georgia, University of Michigan

Research Area: Explainable AI (XAI), Human-AI Teaming, Human-Computer Interaction (HCI)

Discipline: Robotics, Artificial Intelligence

Explored how AI explanations impact human trust and team effectiveness in human-AI teams, finding that explanations increase trust when AI disobeys orders but reduce trust when AI lies, with individual characteristics influencing these perceptions.

Methods: Conducted an online experiment analyzing participant responses to scenarios where AI explained its actions within a teamwork context, comparing trust in AI versus human teammates.

Key Findings: Impact of AI explanations on human trust, team effectiveness, and how these vary with teammate identity (human or AI) and participant characteristics (e.g., gender, ethical framework).

DOI: https://doi.org/10.1145/3635474

Citations: 28

Sample Size: 156
Attributions toward artificial agents in a modified Moral Turing Test

Authors: Eyal Aharoni, Sharlene Fernandes, Daniel J. Brady, Caelan Alexander, Michael Criner, Kara Queen, Javier Rando, Eddy Nahmias, Victor Crespo

Year: 2024

Published in: Nature

Institution: Duke University, ETH Zurich, Georgia State University

Research Area: Moral Responsibility, Agency in AI, Human-AI Moral Interaction

Discipline: Artificial Intelligence Ethics
Safe RLHF: Safe reinforcement learning from human feedback

Authors: J Dai, X Pan, R Sun, J Ji, X Xu, M Liu, Y Wang

Year: 2023

Published in: arXiv preprint arXiv ..., 2023 - arxiv.org

Institution: Cornell University, Georgia Institute of Technology

Research Area: Reinforcement Learning from Human Feedback (RLHF), Safe AI, Reinforcement Learning

Discipline: Artificial Intelligence, Machine Learning

DOI: https://doi.org/10.48550/arXiv.2310.12773

Citations: 598