Andrew Mackey Data-verified

OverviewAI-generated summary

Andrew Mackey's research interests span various domains, including the analysis of emotions in text and virtual reality applications. He has investigated methods for detecting fake news through emotion analysis and explored contrastive learning for conversational emotion recognition, utilizing knowledge enhancement from large language models. Mackey has also examined prompt distillation for emotion analysis. His work extends to practical applications, such as field-testing procedures for metallic pipelines collocated with HVDC powerlines and evaluating virtual reality design features for their impact on the efficiency and accuracy of electrical workforce training scenarios. Mackey holds an h-index of 7 with 27 total publications and 332 citations. He has collaborated with Susan Gauch, Israel Cuevas, and Kevin Labille, all from the University of Arkansas at Fayetteville.

Metrics

• h-index: 7
• Publications: 28
• Citations: 336