Intelligent Conversational Agents and Neural Networks Lab
The Intelligent Conversational Agents and Neural Networks Lab is directed by Dr. Souvick Ghosh and is situated in the School of Information at the San José State University. The ICANN (pronounced: I can) Lab operates 100% online and includes students and collaborators from both graduate and undergraduate levels.
The research at the lab looks at multiple problems in the areas of information and data sciences from a socio-technical viewpoint. We support research, education, and professional activities related, which lies at the intersection of information retrieval, human-computer interaction, and deep neural networks. Our research questions and methodologies are shaped by our long-term vision to:
- design and develop user-centered models and theories for conversational search systems;
- catalyze research and innovation for social good using data-driven methodologies;
- promote fair, transparent and explainable machine learning models for prediction tasks.
Featured Projects
The ICANN team works at the intersection of intelligent conversational agents, deep learning, human-computer interaction, and social media analytics.
Understanding Man-machine Dialogues
A human-centered qualitative approach to understanding the dialogue patterns between the user and the intermediary for information seeking tasks.
User-centered Conversational Search Systems
This study aims to improve the existing state-of-the-art voice-based conversational systems by making them more human-like, user-friendly, explainable, and accessible.
Analyzing COVID-19 Tweets for Sentiment Markers
This exploratory study identifies the fine-grained sentiment expressed on COVID-19 related tweets to better understand the discourse around emergencies.