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20232026
most citedConversational Assistants in Knowledge-Intensive Contexts: An Evaluation of LLM- versus Intent-based Systems

8 citations · 16 across the 6 of their papers we have counts for

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cs.HC2025

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…

cs.HC2024

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…

cs.HC2024★ 5 cited

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…

cs.HC2024★ 1 cited

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…

cs.HC2024★ 8 cited

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…

cs.HC2023★ 2 cited

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…