no code implementations • 10 Jun 2025 • Nataliya Kosmyna, Eugene Hauptmann, Ye Tong Yuan, Jessica Situ, Xian-Hao Liao, Ashly Vivian Beresnitzky, Iris Braunstein, Pattie Maes
In a fourth session, LLM users were reassigned to Brain-only group (LLM-to-Brain), and Brain-only users were reassigned to LLM condition (Brain-to-LLM).
no code implementations • 18 May 2025 • Nikhil Singh, Manuel Cherep, Pattie Maes
The fidelity with which neural networks can now generate content such as music presents a scientific opportunity: these systems appear to have learned implicit theories of the structure of such content through statistical learning alone.
1 code implementation • 4 Apr 2025 • Jason Phang, Michael Lampe, Lama Ahmad, Sandhini Agarwal, Cathy Mengying Fang, Auren R. Liu, Valdemar Danry, Eunhae Lee, Samantha W. T. Chan, Pat Pataranutaporn, Pattie Maes
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.
no code implementations • 31 Mar 2025 • Wazeer Zulfikar, Treyden Chiaravalloti, Jocelyn Shen, Rosalind Picard, Pattie Maes
People inherently use experiences of their past while imagining their future, a capability that plays a crucial role in mental health.
no code implementations • 10 Mar 2025 • Dünya Baradari, Nataliya Kosmyna, Oscar Petrov, Rebecah Kaplun, Pattie Maes
Generative AI is transforming education by enabling personalized, on-demand learning experiences.
no code implementations • 3 Mar 2025 • 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.
no code implementations • 5 Feb 2025 • Pat Pataranutaporn, Alexander Doudkin, Pattie Maes
Through a between-subjects experiment (N=900), we compared three conditions: (1) Static Scientific Information, providing conventional environmental education through text and images; (2) Static Character Narrative, featuring first-person storytelling from 3D-rendered marine creatures; and (3) Conversational Character Narrative, enabling real-time dialogue with AI-powered marine characters.
no code implementations • 31 Jan 2025 • Pat Pataranutaporn, Nattavudh Powdthavee, Chayapatr Achiwaranguprok, Pattie Maes
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 introducing systematic bias.
1 code implementation • 23 Jan 2025 • Pat Pataranutaporn, Nattavudh Powdthavee, Pattie Maes
Our findings show that elite surnames consistently increase AI-generated perceptions of power, intelligence, and wealth, which in turn influence AI-driven decisions in high-stakes contexts.
no code implementations • 13 Sep 2024 • Pat Pataranutaporn, Chayapatr Archiwaranguprok, Samantha W. T. Chan, Elizabeth Loftus, Pattie Maes
AI-edited visuals significantly increased false recollections, with AI-generated videos of AI-edited images having the strongest effect (2. 05x compared to control).
2 code implementations • 13 Aug 2024 • Eunhae Lee, Pat Pataranutaporn, Judith Amores, Pattie Maes
Through an experiment with 238 participants, we examined how cognitive style, paranormal beliefs, AI attitudes, personality traits, and other factors affect perceived validity, reliability, usefulness, and personalization of predictions from different sources.
no code implementations • 11 Aug 2024 • Shruthi Shekar, Pat Pataranutaporn, Chethan Sarabu, Guillermo A. Cecchi, Pattie Maes
This problematic reaction was comparable if not more to the reaction they displayed towards doctors' responses.
1 code implementation • 8 Aug 2024 • Samantha Chan, Pat Pataranutaporn, Aditya Suri, Wazeer Zulfikar, Pattie Maes, Elizabeth F. Loftus
However, confidence in these false memories remained higher than the control after one week.
no code implementations • 31 Jul 2024 • Valdemar Danry, Pat Pataranutaporn, Matthew Groh, Ziv Epstein, Pattie Maes
Advanced Artificial Intelligence (AI) systems, specifically large language models (LLMs), have the capability to generate not just misinformation, but also deceptive explanations that can justify and propagate false information and erode trust in the truth.
no code implementations • 11 Jul 2024 • Wazeer Zulfikar, Nishat Protyasha, Camila Canales, Heli Patel, James Williamson, Laura Sarnie, Lisa Nowinski, Nataliya Kosmyna, Paige Townsend, Sophia Yuditskaya, Tanya Talkar, Utkarsh Oggy Sarawgi, Christopher McDougle, Thomas Quatieri, Pattie Maes, Maria Mody
Adults who are minimally verbal with autism spectrum disorder (mvASD) have pronounced speech difficulties linked to impaired motor skills.
no code implementations • 21 May 2024 • Pat Pataranutaporn, Kavin Winson, Peggy Yin, Auttasak Lapapirojn, Pichayoot Ouppaphan, Monchai Lertsutthiwong, Pattie Maes, Hal Hershfield
We introduce "Future You," an interactive, brief, single-session, digital chat intervention designed to improve future self-continuity--the degree of connection an individual feels with a temporally distant future self--a characteristic that is positively related to mental health and wellbeing.
1 code implementation • 26 Jun 2021 • Pulkit Tandon, Shubham Chandak, Pat Pataranutaporn, Yimeng Liu, Anesu M. Mapuranga, Pattie Maes, Tsachy Weissman, Misha Sra
Video represents the majority of internet traffic today, driving a continual race between the generation of higher quality content, transmission of larger file sizes, and the development of network infrastructure.
1 code implementation • ICML Workshop URL 2021 • Mina Khan, P Srivatsa, Advait Rane, Shriram Chenniappa, Rishabh Anand, Sherjil Ozair, Pattie Maes
Data-efficiency and generalization are key challenges in deep learning and deep reinforcement learning as many models are trained on large-scale, domain-specific, and expensive-to-label datasets.
no code implementations • 2 Jun 2021 • Mina Khan, P Srivatsa, Advait Rane, Shriram Chenniappa, Asadali Hazariwala, Pattie Maes
Self-supervised or weakly supervised models trained on large-scale datasets have shown sample-efficient transfer to diverse datasets in few-shot settings.
no code implementations • 22 May 2021 • Mina Khan, Pattie Maes
We created a wearable system, called PAL, for wearable, personalized, and privacy-preserving egocentric visual context detection.
1 code implementation • 21 Apr 2021 • Utkarsh Sarawgi, Rishab Khincha, Wazeer Zulfikar, Satrajit Ghosh, Pattie Maes
Reliability of machine learning (ML) systems is crucial in safety-critical applications such as healthcare, and uncertainty estimation is a widely researched method to highlight the confidence of ML systems in deployment.
1 code implementation • 19 Nov 2020 • Rishab Khincha, Utkarsh Sarawgi, Wazeer Zulfikar, Pattie Maes
In this work, we propose a simple yet effective approach that clusters similar input features together using hierarchical clustering and then trains proportionately split neural networks with a joint loss.
1 code implementation • 3 Oct 2020 • Utkarsh Sarawgi, Wazeer Zulfikar, Rishab Khincha, Pattie Maes
Reliability in Neural Networks (NNs) is crucial in safety-critical applications like healthcare, and uncertainty estimation is a widely researched method to highlight the confidence of NNs in deployment.
1 code implementation • 25 Sep 2020 • Utkarsh Sarawgi, Wazeer Zulfikar, Rishab Khincha, Pattie Maes
Our work further demonstrates its applicability in a multi-modal setting using a benchmark Alzheimer's dataset and also shows how deep split ensembles can highlight hidden modality-specific biases.
1 code implementation • 30 Aug 2020 • Utkarsh Sarawgi, Wazeer Zulfikar, Nouran Soliman, Pattie Maes
Our system achieves state-of-the-art test accuracy, precision, recall, and F1-score of 83. 3% each for AD classification, and state-of-the-art test root mean squared error (RMSE) of 4. 60 for MMSE score regression.
2 code implementations • 25 Nov 2018 • Abhay Koushik, Judith Amores, Pattie Maes
We present the first real-time sleep staging system that uses deep learning without the need for servers in a smartphone application for a wearable EEG.