KnowCovi-19, Vidura Chatbot, Science Gateways
This project aims to help cyberinfrastructure users (in health informatics, neuroscience, etc.) optimally accomplish scientific tasks (e.g., identifying useful information, running simulations, etc.) in the age of informational overload by developing and/or enhancing science gateways (e.g., KnowCOVID-19, CyNeuro) and an accompanying chatbot to provide user's support.
Named after a wise advisor in Indian mythology, Vidura is a chatbot designed to guide users to navigate the gateway platform to effectively (with quality) and efficiently (with speed) find the information users need.
The chatbot aims to overcome user support barriers by providing personalized assistance, particularly in times when human support is unavailable or costly. Initially prototyped within CyNeuro, a neuroscience science gateway, Vidura is adaptable across domains, benefiting diverse research and education communities. By facilitating interdisciplinary collaborations, the chatbot contributes to NSF's long-term investments in CI and SGs.
This sociotechnical project integrates human communication science, AI-powered conversational agents, and domain-specific modeling, advancing knowledge across social sciences, computer science, and neuroscience. Through its innovative approach, Vidura enhances access to critical CI resources, fostering collaboration and knowledge discovery. The project’s findings will inform best practices for implementing chatbots to support data- and computation-intensive research across scientific domains.
This is a collaboration with Prasad Calyam and Satish Nair in the Department of Electrical Engineering & Computer Science at the University of Missouri-Columbia (under OAC #2006816).
To learn more about IDL's CORE project, click on the following link to the NSF's website: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2007100&HistoricalAwards=false
Read some works from this project:
Kee, Kerk and Calyam, Prasad and Regunath, Hariharan "The Role of Vidura Chatbot in the Diffusion of KnowCOVID-19 Gateway" Human-Machine Communication , v.3 , 2021 https://doi.org/10.30658/hmc.3.4 Citation Details
Oruche, Roland and Gundlapalli, Vidya and Biswal, Aditya P. and Calyam, Prasad and Alarcon, Mauro Lemus and Zhang, Yuanxun and Bhamidipati, Naga Ramya and Malladi, Abhiram and Regunath, Hariharan "Evidence-Based Recommender System for a COVID-19 Publication Analytics Service" IEEE Access , v.9 , 2021 https://doi.org/10.1109/ACCESS.2021.3083583
Oruche, Roland and Milman, Eric and Lemus Alarcon, Mauro and Cheng, Xiyao and Pandey, Ashish and Wang, Songjie and Calyam, Prasad and Kee, Kerk "Science gateway adoption using plugin middleware for evidencebased healthcare data management" Concurrency and Computation: Practice and Experience , 2022 https://doi.org/10.1002/cpe.7195
Oruche, Roland and Milman, Eric D. and Cheng, Xiyao and Joish, Megha and Kulkarni, Chaitra and Sharma, Agrim and Kee, Kerk and Regunath, Hariharan and Calyam, Prasad "Measurement of Utility in User Access of COVID-19 Literature via AI-powered Chatbot" IEEE AIPR , 2021 https://doi.org/10.1109/AIPR52630.2021.9762160
Vekaria, K. and Calyam, P. and Sivarathri, S. and Wang, S. and Zhang, Y. and Pandey, A. and Chen, C. and Xu, D. and Joshi, T. and Nair, S.S. "Recommender-as-a-Service with Chatbot Guided Domain-science Knowledge Discovery in a Science Gateway" Wiley Concurrency and Computation: Practice and Experience , 2020 https://doi.org/10.1002/cpe.6080
Commentaires