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cs.HC2024
ArticulatePro: A Comparative Study on a Proactive and Non-Proactive Assistant in a Climate Data Exploration Task
Roderick Tabalba, Christopher J. Lee, Giorgio Tran +2
Recent advances in Natural Language Interfaces (NLIs) and Large Language Models (LLMs) have transformed our approach to NLP tasks, shifting the focus towards a more Pragmatics-base…
cs.HC2024
Space to Teach: Content-Rich Canvases for Visually-Intensive Education
Jesse Harden, Nurit Kirshenbaum, Roderick Tabalba +8
With the decreasing cost of consumer display technologies making it easier for universities to have larger displays in classrooms, and the ubiquitous use of online tools such as co…
cs.HC2024
Abstracted Trajectory Visualization for Explainability in Reinforcement Learning
Yoshiki Takagi, Roderick Tabalba, Nurit Kirshenbaum +1
Explainable AI (XAI) has demonstrated the potential to help reinforcement learning (RL) practitioners to understand how RL models work. However, XAI for users who do not have RL ex…