25 citations · 88 across the 21 of their papers we have counts for
27 papers
Open Benchmark of AI Impact on Humans (ImpactBench): an expert-guided, open platform for the holistic evaluation of AI impact on humans
Chayapatr Archiwaranguprok, Krystal Kirkland, Rachel Poonsiriwong +17
The present work is concerned with how to measure, at scale, the multi-dimensional impact of generative AI models on the individuals who use them. In service of this goal, we intro…
Durably Reducing Belief in Women's Health Misinformation Through Culturally Adaptive AI Videos
Anku Rani, Kokil Jaidka, Shruti Sharma +5
Health misinformation disproportionately harms women, yet interventions rarely address the community norms that sustain false beliefs. We test whether culturally adaptive AI-genera…
AI Watchdog: Agent Interfaces for Detecting and Defending Against Manipulative Dark Patterns in AI Conversations
Rachel Poonsiriwong, Chayapatr, Archiwaranguprok +4
Conversational AI increasingly shapes consequential decisions, yet users have limited support for recognizing and resisting manipulation. We present AI Watchdog, a browser-based ag…
CultureScore: Evaluating Cultural Faithfulness in Video Generation Models
Anku Rani, Wei Dai, Shravan Nayak +3
As video generation models like Veo 3.1 and LTX-2 advance, their ability to accurately represent diverse global cultures remains a critical yet understudied frontier. Current metri…
Before You Scroll Again: Predicting Regretful Social Media Sessions from In-the-Wild Contextual and Wearable Sensing
Sally Ahmed, Jan Enkmann, Kye Shimizu +5
Users often feel regret after using social media, making regret a more ecologically valid target than screen time for understanding when phone use becomes problematic. Existing sel…
Breaking Negative Cycles: A Reflection-To-Action System For Adaptive Change
Minsol Michelle Kim, Daniel M. Low, David Lafond +8
Breaking negative mental health cycles, including rumination and recurring regrets, requires reflection that translates awareness into behavioral change. Grounded in the Transtheor…
Simulating Psychological Risks in Human-AI Interactions: Real-Case Informed Modeling of AI-Induced Addiction, Anorexia, Depression, Homicide, Psychosis, and Suicide
Chayapatr Archiwaranguprok, Constanze Albrecht, Pattie Maes +2
As AI systems become increasingly integrated into daily life, their potential to exacerbate or trigger severe psychological harms remains poorly understood and inadequately tested.…
VoiceMorph: How AI Voice Morphing Reveals the Boundaries of Auditory Self-Recognition
Kye Shimizu, Minghan Gao, Ananya Ganesh +1
This study investigated auditory self-recognition boundaries using AI voice morphing technology, examining when individuals cease recognizing their own voice. Through controlled mo…
Dialogues with AI Reduce Beliefs in Misinformation but Build No Lasting Discernment Skills
Anku Rani, Valdemar Danry, Paul Pu Liang +2
Given the growing prevalence of fake information, including increasingly realistic AI-generated news, there is an urgent need to train people to better evaluate and detect misinfor…
Atlas of Human-AI Interaction (v1): An Interactive Meta-Science Platform for Large-Scale Research Literature Sensemaking
Chayapatr Archiwaranguprok, Awu Chen, Sheer Karny +3
Human-AI interaction researchers face an overwhelming challenge: synthesizing insights from thousands of empirical studies to understand how AI impacts people and inform effective…
"My Boyfriend is AI": A Computational Analysis of Human-AI Companionship in Reddit's AI Community
Pat Pataranutaporn, Sheer Karny, Chayapatr Archiwaranguprok +3
The emergence of AI companion applications has created novel forms of intimate human-AI relationships, yet empirical research on these communities remains limited. We present the f…
Large Language Models Predict Human Well-being -- But Not Equally Everywhere
Pat Pataranutaporn, Nattavudh Powdthavee, Chayapatr Archiwaranguprok +1
Subjective well-being is a key metric in economic, medical, and policy decision-making. As artificial intelligence provides scalable tools for modelling human outcomes, it is cruci…
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…
Can AI Solve the Peer Review Crisis? A Large Scale Cross Model Experiment of LLMs' Performance and Biases in Evaluating over 1000 Economics Papers
Pat Pataranutaporn, Nattavudh Powdthavee, Chayapatr Achiwaranguprok +1
This study examines the potential of large language models (LLMs) to augment the academic peer review process by reliably evaluating the quality of economics research without intro…
AI persuading AI vs AI persuading Humans: LLMs' Differential Effectiveness in Promoting Pro-Environmental Behavior
Alexander Doudkin, Pat Pataranutaporn, Pattie Maes
Pro-environmental behavior (PEB) is vital to combat climate change, yet turning awareness into intention and action remains elusive. We explore large language models (LLMs) as tool…
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…
Algorithmic Inheritance: Surname Bias in AI Decisions Reinforces Intergenerational Inequality
Pat Pataranutaporn, Nattavudh Powdthavee, Pattie Maes
Surnames often convey implicit markers of social status, wealth, and lineage, shaping perceptions in ways that can perpetuate systemic biases and intergenerational inequality. This…
OceanChat: The Effect of Virtual Conversational AI Agents on Sustainable Attitude and Behavior Change
Pat Pataranutaporn, Alexander Doudkin, Pattie Maes
Marine ecosystems face unprecedented threats from climate change and plastic pollution, yet traditional environmental education often struggles to translate awareness into sustaine…
Chatbot Companionship: A Mixed-Methods Study of Companion Chatbot Usage Patterns and Their Relationship to Loneliness in Active Users
Auren R. Liu, Pat Pataranutaporn, Pattie Maes
Companion chatbots offer a potential solution to the growing epidemic of loneliness, but their impact on users' psychosocial well-being remains poorly understood, raising critical…
Synthetic Human Memories: AI-Edited Images and Videos Can Implant False Memories and Distort Recollection
Pat Pataranutaporn, Chayapatr Archiwaranguprok, Samantha W. T. Chan +2
AI is increasingly used to enhance images and videos, both intentionally and unintentionally. As AI editing tools become more integrated into smartphones, users can modify or anima…
Text2Tradition: From Epistemological Tensions to AI-Mediated Cross-Cultural Co-Creation
Pat Pataranutaporn, Chayapatr Archiwaranguprok, Phoomparin Mano +3
This paper introduces Text2Tradition, a system designed to bridge the epistemological gap between modern language processing and traditional dance knowledge by translating user-gen…
People over trust AI-generated medical responses and view them to be as valid as doctors, despite low accuracy
Shruthi Shekar, Pat Pataranutaporn, Chethan Sarabu +2
This paper presents a comprehensive analysis of how AI-generated medical responses are perceived and evaluated by non-experts. A total of 300 participants gave evaluations for medi…
Conversational AI Powered by Large Language Models Amplifies False Memories in Witness Interviews
Samantha Chan, Pat Pataranutaporn, Aditya Suri +3
This study examines the impact of AI on human false memories -- recollections of events that did not occur or deviate from actual occurrences. It explores false memory induction th…
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,…