19 citations · 24 across the 9 of their papers we have counts for
9 papers
An Infectious Disease Spread Simulation Based on Large Language Model Decision Making
Yonchanok Khaokaew, Ruochen Kong, Andreas Zufle +6
Modelling individual decision-making during infectious disease outbreaks is crucial for understanding behavioural dynamics and informing effective public health interventions. Prio…
Evaluating the Bias in LLMs for Surveying Opinion and Decision Making in Healthcare
Yonchanok Khaokaew, Flora D. Salim, Andreas Züfle +5
Generative agents have been increasingly used to simulate human behaviour in silico, driven by large language models (LLMs). These simulacra serve as sandboxes for studying human b…
COMODO: Cross-Modal Video-to-IMU Distillation for Efficient Egocentric Human Activity Recognition
Baiyu Chen, Wilson Wongso, Zechen Li +3
The goal of creating intelligent, human-centered wearable systems for continuous activity understanding faces a fundamental trade-off: Egocentric video-based models capture rich se…
WorkR: Occupation Inference for Intelligent Task Assistance
Yonchanok Khaokaew, Hao Xue, Mohammad Saiedur Rahaman +1
Occupation information can be utilized by digital assistants to provide occupation-specific personalized task support, including interruption management, task planning, and recomme…
CAPRI-FAIR: Integration of Multi-sided Fairness in Contextual POI Recommendation Framework
Francis Zac dela Cruz, Flora D. Salim, Yonchanok Khaokaew +1
Point-of-interest (POI) recommendation considers spatio-temporal factors like distance, peak hours, and user check-ins. Given their influence on both consumer experience and POI bu…
ZzzGPT: An Interactive GPT Approach to Enhance Sleep Quality
Yonchanok Khaokaew, Kaixin Ji, Thuc Hanh Nguyen +4
This paper explores the intersection of technology and sleep pattern comprehension, presenting a cutting-edge two-stage framework that harnesses the power of Large Language Models…