no code implementations • 15 May 2024 • Zekun Wu, Anna Maria Feit
This study examines the role of visual highlights in guiding user attention in drone monitoring tasks, employing a simulated interface for observation.
no code implementations • 22 Apr 2024 • Anwesha Das, Zekun Wu, Iza Škrjanec, Anna Maria Feit
Visual highlighting can guide user attention in complex interfaces.
no code implementations • 2 Apr 2024 • Zekun Wu, Sahan Bulathwela, Maria Perez-Ortiz, Adriano Soares Koshiyama
Recent advancements in Large Language Models (LLMs) have significantly increased their presence in human-facing Artificial Intelligence (AI) applications.
no code implementations • 13 Feb 2024 • Airlie Hilliard, Cristian Munoz, Zekun Wu, Adriano Soares Koshiyama
However, whereas LMs with fewer parameters exhibit similar behaviour in personality traits, newer and LMs with more parameters exhibit a broader range of personality traits, with increased agreeableness, emotional stability, and openness.
no code implementations • 1 Nov 2023 • Zekun Wu, Shahin Doroudian, Aidong Lu
This work presents a study on a comprehensive data collection of user behaviors, and our analysis approach with time-series classification methods.
no code implementations • 9 Apr 2022 • Zekun Wu, Kaiwei Wu
Assessing the health status (HS) of system/component has long been a challenging task in the prognostic and health management (PHM) study.