Pilot Study
Pilot studies are small-scale preliminary investigations designed to test the feasibility and effectiveness of a research method, intervention, or technology before undertaking a larger-scale study. Current research utilizes pilot studies across diverse fields, employing various model architectures such as large language models, deep learning networks (including transformers and convolutional neural networks), and Gaussian processes, depending on the specific application. These studies are crucial for refining methodologies, identifying potential challenges, and optimizing resource allocation, ultimately contributing to the rigor and efficiency of subsequent larger-scale research and improving the development of practical applications.
Papers
Assessing Human Interaction in Virtual Reality With Continually Learning Prediction Agents Based on Reinforcement Learning Algorithms: A Pilot Study
Dylan J. A. Brenneis, Adam S. Parker, Michael Bradley Johanson, Andrew Butcher, Elnaz Davoodi, Leslie Acker, Matthew M. Botvinick, Joseph Modayil, Adam White, Patrick M. Pilarski
Tackling Query-Focused Summarization as A Knowledge-Intensive Task: A Pilot Study
Weijia Zhang, Svitlana Vakulenko, Thilina Rajapakse, Yumo Xu, Evangelos Kanoulas