PhD Student at Georgia Tech studying Human-Centered Computing with a specialization in Human-Computer Interaction.
My research is concerned with exploring the potential of conversational AI technology to assist older adults with Mild Cognitive Impairment (MCI). I'm interested in studying how different approaches to explainability and transparency in collaborative AI systems can engender trust in them in the context of older adults for which I primarily engage use-inspired qualitative research methods. My research interests broadly include Human-AI Interaction, Explainable Artificial Intelligence and design of Conversational Assistants. I'm advised by Dr. Elizabeth Mynatt and Dr. Andrea Parker in the School of Interactive Computing at Georgia Tech. I also work with Dr. Larry P. Heck in the School of Electrical and Computer Engineering on a Vertically Integrated Project for designing next generation conversational AI systems in mixed-reality domains.
MS Human-Computer Interaction - Georgia Tech (Class of 2021)
BS Computer Science and Engineering - Vellore Institute of Technology (Class of 2019)
Niharika Mathur, Kunal Dhodapkar, Tamara Zubatiy, Jiachen Li, Brian D. Jones, Elizabeth D. Mynatt
The 24th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS ’22), 14 pages.
[Best Paper Award]
2. Empowering Dyads of Older Adults With Mild Cognitive Impairment And Their Care Partners Using Conversational Agents. Link
Tamara Zubatiy, Kayci L. Vickers, Niharika Mathur, Elizabeth D. Mynatt
CHI Conference on Human Factors in Computing Systems (CHI ’21), 15 pages.
3. Sentiment analysis of the #MeToo movement using neutrosophy: Application of single-valued neutrosophic sets. Link
lanthenral Kandasamy, W.B. Vasantha, Niharika Mathur, Mayank Bisht, Florentin Smarandache
Optimization Theory Based on Neutrosophic and Plithogenic Sets, Academic Press, 2020, 18 pages.
Some featured projects -