activity
20212024
most citedConversational Assistants in Knowledge-Intensive Contexts: An Evaluation of LLM- versus Intent-based Systems

8 citations · 19 across the 6 of their papers we have counts for

collaborators

6 papers

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★ 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…

cs.HC2023

Using Thermal Imaging to Measure Hand Hygiene Quality

Chaofan Wang, Weiwei Jiang, Kangning Yang +5

Hand hygiene has long been promoted as the most effective way to prevent the transmission of infection. However, due to the low compliance and quality of hand hygiene reported in p…

cs.HC2021★ 4 cited

InfoPrint: Embedding Information into 3D Printed Objects

Weiwei Jiang, Chaofan Wang, Zhanna Sarsenbayeva +5

We present a technique to embed information invisible to the eye inside 3D printed objects. The information is integrated in the object model, and then fabricated using off-the-she…