39 citations · 67 across the 6 of their papers we have counts for
6 papers
Human Decision-Making with Persuasive and Narrative LLM Explanations
Laura R. Marusich, Mary Grace Kozuch Dhooghe, Jonathan Z. Bakdash +1
Large language models (LLMs) have the potential to aid and improve human decision-making in classification tasks, not only by providing fairly accurate predictions, but also in the…
Using AI Uncertainty Quantification to Improve Human Decision-Making
Laura R. Marusich, Jonathan Z. Bakdash, Yan Zhou +1
AI Uncertainty Quantification (UQ) has the potential to improve human decision-making beyond AI predictions alone by providing additional probabilistic information to users. The ma…
Augmented Reality and Mixed Reality Measurement Under Different Environments: A Survey on Head-Mounted Devices
Hung-Jui Guo, Jonathan Z. Bakdash, Laura R. Marusich +1
Augmented Reality (AR) and Mixed Reality (MR) have been two of the most explosive research topics in the last few years. Head-Mounted Devices (HMDs) are essential intermediums for…
Dynamic X-Ray Vision in Mixed Reality
Hung-Jui Guo, Jonathan Z. Bakdash, Laura R. Marusich +1
X-ray vision, a technique that allows users to see through walls and other obstacles, is a popular technique for Augmented Reality (AR) and Mixed Reality (MR). In this paper, we de…
Does Explainable Artificial Intelligence Improve Human Decision-Making?
Yasmeen Alufaisan, Laura R. Marusich, Jonathan Z. Bakdash +2
Explainable AI provides insight into the "why" for model predictions, offering potential for users to better understand and trust a model, and to recognize and correct AI predictio…
Malware in the Future? Forecasting of Analyst Detection of Cyber Events
Jonathan Z. Bakdash, Steve Hutchinson, Erin G. Zaroukian +5
There have been extensive efforts in government, academia, and industry to anticipate, forecast, and mitigate cyber attacks. A common approach is time-series forecasting of cyber a…