4 papers
Evaluating LLM Usage for Efficient and Explainable Numerical and Classified Implicit Sentiment Analysis of Product Desirability
Sherri Weitl-Harms, John Hastings
Qualitative product feedback can reveal nuanced user experiences, but its implicit sentiment is difficult to measure. This paper presents a scalable and interpretable framework tha…
Utilizing Large Language Models to Synthesize Product Desirability Datasets
John D. Hastings, Sherri Weitl-Harms, Joseph Doty +2
This research explores the application of large language models (LLMs) to generate synthetic datasets for Product Desirability Toolkit (PDT) testing, a key component in evaluating…
Using LLMs to Establish Implicit User Sentiment of Software Desirability
Sherri Weitl-Harms, John D. Hastings, Jonah Lum
This study explores the use of LLMs for providing quantitative zero-shot sentiment analysis of implicit software desirability, addressing a critical challenge in product evaluation…
Cyber Security Operations Educational Gamification Application Listing
Sherri Weitl-Harms, Adam Spanier, John D. Hastings
This listing contains a total of 80 gamification applications (GA)s used in cyber security operations (CSO) undergraduate education, from 74 publications, published between 2007 an…