39 citations · 86 across the 9 of their papers we have counts for
9 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…
An experimental study of the influence of anonymous information on social media users
Boleslaw K. Szymanski, Brendan Cross, John Hulton +3
Increasingly, people use social media for their day-to-day interactions and as a source of information, even though much of this information is practically anonymous. This raises t…
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…