8 citations · 16 across the 6 of their papers we have counts for
7 papers
Machine Learning and Time-Series Foundation Models for Day-Ahead Electricity Forecasting in a University Building
Amey Vasulkar, Samuel Kernan Freire, Arie-Willem de Leeuw +1
Day-ahead electricity forecasts can help building operators schedule heating, ventilation, and other services around anticipated demand. Choosing a forecasting model also requires…
Understanding Mental Models of Generative Conversational Search and The Effect of Interface Transparency
Chadha Degachi, Samuel Kernan Freire, Evangelos Niforatos +1
The experience and adoption of conversational search is tied to the accuracy and completeness of users' mental models -- their internal frameworks for understanding and predicting…
Factory Operators' Perspectives on Cognitive Assistants for Knowledge Sharing: Challenges, Risks, and Impact on Work
Samuel Kernan Freire, Tianhao He, Chaofan Wang +2
In the shift towards human-centered manufacturing, our two-year longitudinal study investigates the real-world impact of deploying Cognitive Assistants (CAs) in factories. The CAs…
Knowledge Sharing in Manufacturing using Large Language Models: User Evaluation and Model Benchmarking
Samuel Kernan Freire, Chaofan Wang, Mina Foosherian +3
Recent advances in natural language processing enable more intelligent ways to support knowledge sharing in factories. In manufacturing, operating production lines has become incre…
Enhancing ICU Patient Recovery: Using LLMs to Assist Nurses in Diary Writing
Samuel Kernan Freire, Margo MC van Mol, Carola Schol +1
Intensive care unit (ICU) patients often develop new health-related problems in their long-term recovery. Health care professionals keeping a diary of a patient's stay is a proven…
Conversational Assistants in Knowledge-Intensive Contexts: An Evaluation of LLM- versus Intent-based Systems
Samuel Kernan Freire, Chaofan Wang, Evangelos Niforatos
Conversational Assistants (CA) are increasingly supporting human workers in knowledge management. Traditionally, CAs respond in specific ways to predefined user intents and convers…
Safeguarding Crowdsourcing Surveys from ChatGPT with Prompt Injection
Chaofan Wang, Samuel Kernan Freire, Mo Zhang +7
ChatGPT and other large language models (LLMs) have proven useful in crowdsourcing tasks, where they can effectively annotate machine learning training data. However, this means th…