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cs.HC2026
Evaluating Visual Prompts with Eye-Tracking Data for MLLM-Based Human Activity Recognition
Jae Young Choi, Seon Gyeom Kim, Hyungjun Yoon +7
Large Language Models (LLMs) have emerged as foundation models for IoT applications such as human activity recognition (HAR). However, directly applying high-frequency and multi-di…
cs.HC2025
Chart-to-Experience: Benchmarking Multimodal LLMs for Predicting Experiential Impact of Charts
Seon Gyeom Kim, Jae Young Choi, Ryan Rossi +2
The field of Multimodal Large Language Models (MLLMs) has made remarkable progress in visual understanding tasks, presenting a vast opportunity to predict the perceptual and emotio…