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nmathur35@gatech.edu

Technology Square Research Building

85 5th St NW, 

Atlanta, GA. 30332 

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PhD Student at Georgia Tech studying Human-Centered Computing (HCC) with a specialization in Human-Computer Interaction (HCI).

In my research, I explore the design and evaluation of explanations in rule-based Conversational AI systems and their role in aging in place for older adults and their caregivers. I'm interested in studying how different approaches to explainability and transparency in collaborative AI systems can improve the conversational user experience. My research interests include Human-AI Interaction, Human-Centered Explainable AI and designing for older adults. My doctoral advisors are Dr. Elizabeth Mynatt and Dr. Sonia Chernova in the School of Interactive Computing at Georgia Tech and my research is generously supported by Emory Healthcare's Brain Health Center and the NSF AI Institute for Collaborative Assistance and Responsive Interaction for Networked Groups (AI-CARING).

Education: 
Ph.D. Human-Centered Computing (HCC) - Georgia Tech (2021 - )
M.S. Human-Computer Interaction (HCI)
- Georgia Tech (2019 - 2021)
B.Tech. Computer Science and Engineering - Vellore Institute of Technology (2015 - 2019)
 

Publications

Workshops

1. Categorizing Sources of Information for Explanations in Conversational AI Systems in the Home for Older Adults Aging in Place. Link

Niharika Mathur, Elizabeth D. Mynatt

ACM CHI 2024 Workshop on Human-Centered Explainable AI (HCXAI)‬, 5 pages. 
 

Conferences

1. "Why did you say that?": Recommendations for Understanding Explainability in Conversational AI systems for Older Adults with MCI. Link

Niharika Mathur, Tamara Zubatiy, Agata Rozga, Elizabeth D. Mynatt

15th International Conference on Ubiquitous Computing and Ambient ‪Intelligence UCAmI 2023‬, 6 pages.

2. “I don’t know how to help with that” - Learning from Limitations of Modern Conversational Agent Systems. Link

Tamara Zubatiy, Niharika Mathur, Larry Heck, Kayci Vickers, Agata Rozga, Elizabeth D. Mynatt

The 26th ACM Conference On Computer-Supported Cooperative Work and Social Computing (CSCW’23), 22 pages.

​3. 🏆 [Best Paper Award]  A Collaborative Approach to Support Medication Management in Older Adults with Mild Cognitive Impairment Using Conversational Assistants (CAs). Link  

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.
 

4. 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.
 

5. 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.
 

A few of my older and current projects - 

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