Preprints & under review
2026
Multi-Turn Neural Transparency: Surfacing Neural Activations Improves User Calibration to LLM Behavioral Drift
Under review · arXiv:2605.15455
arXiv ↗ 2025
“My Boyfriend is AI”: A Computational Analysis of Human-AI Companionship in Reddit’s AI Community
Pre-print · arXiv:2509.11391
arXiv ↗ 2025
Atlas of Human-AI Interaction (v1): An Interactive Meta-Science Platform for Large-Scale Research Literature Sensemaking
Pre-print · arXiv:2509.25499
arXiv ↗ Journal articles
2026
A systematic investigation reveals dissociable effects of ageing on implicit and explicit components of sensorimotor learning
Nature Human Behaviour
DOI ↗ 2026
Human–AI collaboration: Trade-offs between performance and preferences
Cognitive Research: Principles and Implications, 11(1), 18
DOI ↗ 2025
What large language models know and what people think they know
Nature Machine Intelligence, 7(2), 221–231
DOI ↗ Conference proceedings
2026
What If AI Lived Inside Your Mind? Simulating “Neural Integration” of Human and AI through Mechanistic Interpretability as Provocation
Augmented Humans International Conference (AHs ’26), 223–238
2025
Neural Transparency: Mechanistic Interpretability Interfaces for Anticipating Model Behaviors for Personalized AI
31st International Conference on Intelligent User Interfaces (IUI ’26), 868–884
DOI ↗ 2024
Learning with AI Assistance: A Path to Better Task Performance or Dependence?
ACM Collective Intelligence Conference (CI ’24), Boston, MA, 10–17
DOI ↗ Workshop papers & posters
2026
Dissociating the Internal Representations of Sycophancy in LLMs
ICML ’26 Mechanistic Interpretability Workshop, Seoul · arXiv:2607.07003
arXiv ↗ 2026
AI-Wrapped: Participatory, Privacy-Preserving Measurement of Longitudinal LLM Use In-the-Wild
CHI ’26 Bi-Align Workshop · arXiv:2602.18415
arXiv ↗ 2023
Differential effect of age on implicit and explicit motor learning processes
Neural Control of Movement Conference (NCM ’23), Victoria, BC
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