publications

auto-psych: Automating the science of mind using agent-driven theory discovery and experimentation (under review)

AI-guided stimuli discovery and generation to optimize facial emotion perception studies in autism (under review)

Predicting affective connotation of visualizations from their constituent colors. IEEE Transactions on Visualization and Computer Graphics. (in press)

CHART-6: Human-Centered Evaluation of Data Visualization Understanding in Vision-Language Models (under review)

Evaluating steering techniques using human similarity judgments

Uncovering the computational ingredients of human-like representations in large language models

Color-concept associations reveal a new conceptual space (in press)

Large language models estimate fine-grained human color-concept associations

Presenting large language models as companions affects what mental capacities people attribute to them

Affective color scales for visualizations of continuous data
Best Paper Honorable Mention

Encqa: Benchmarking vision-language models on visual encodings for charts

AI-enhanced semantic feature norms for 786 concepts
Computational Modeling Prize in Applied Cognition @ CogSci & Best Paper Award @ ICLR BiAlign Workshop

Drawings of THINGS: A large-scale drawing dataset of 1,854 object concepts

Using drawings and deep neural networks to characterize the building blocks of human visual similarity

Shaping vision through drawing

Evaluating human and machine understanding of data visualizations

The role of shared labels and experiences in representational alignment

Categories vs semantic features: What shape the similarities people discern in photographs of objects?

Color semantics for visual communication

Conceptual structure coheres in human cognition but not in large language models

SEVA: Leveraging sketches to evaluate alignment between human and machine visual abstraction

Leveraging Artificial Neural Networks to Enhance Diagnostic Efficiency in Autism Spectrum Disorder: A Study on Facial Emotion Recognition

Human-machine cooperation for semantic feature listing

Semantic feature verification in FLAN-T5

Evaluating machine comprehension of sketch meaning at different levels of abstraction

Context matters: A theory of semantic discriminability for perceptual encoding systems
Best Paper Honorable Mention

How does task structure shape representations in deep neural networks?

Communicating semantic part information in drawings