2 citations · 2 across the 6 of their papers we have counts for
7 papers
"The Only Thing Certain About This is Uncertainty": Exploring Informal Care Coordination Practices Among Older Adults with Mild Cognitive Impairment
Josey M. Benandi, Niharika Mathur, Sangha Park +3
Older adults aging in place often have informal support systems to help them maintain independence and quality of life. As they age, many older adults deal with the onset of Mild C…
Explanations as Dialogues: Toward Human-Centered Conversational Explainable AI
Niharika Mathur, Smit Desai
As AI systems become increasingly conversational, a gap emerges wherein explanations are studied as static artifacts, yet in practice, are experienced as dialogue. In this provocat…
Tell Me Why, When, and How: Effects of Personality, Evidence, and Context on Older Adults' Perceptions of Conversational AI Explanations
Niharika Mathur, Hasibur Rahman, Smit Desai
Large Language Model-based voice assistants (LLM-VAs) have shown potential to support older adults aging in place through proactive reminders, health information, and everyday assi…
"Who wants to be nagged by AI?": Investigating the Effects of Agreeableness on Older Adults' Perception of LLM-Based Voice Assistants' Explanations
Niharika Mathur, Hasibur Rahman, Smit Desai
LLM-based voice assistants (VAs) increasingly support older adults aging in place, yet how an assistant's agreeableness shapes explanation perception remains underexplored. We cond…
"It feels like hard work trying to talk to it": Understanding Older Adults' Experiences of Encountering and Repairing Conversational Breakdowns with AI Systems
Niharika Mathur, Tamara Zubatiy, Agata Rozga +1
Designing Conversational AI systems to support older adults requires more than usability and reliability, it also necessitates robustness in handling conversational breakdowns. In…
Sometimes You Need Facts, and Sometimes a Hug: Understanding Older Adults' Preferences for Explanations in LLM-Based Conversational AI Systems
Niharika Mathur, Tamara Zubatiy, Agata Rozga +2
Designing Conversational AI systems to support older adults requires these systems to explain their behavior in ways that align with older adults' preferences and context. While pr…
Categorizing Sources of Information for Explanations in Conversational AI Systems for Older Adults Aging in Place
Niharika Mathur, Tamara Zubatiy, Elizabeth Mynatt
As the permeability of AI systems in interpersonal domains like the home expands, their technical capabilities of generating explanations are required to be aligned with user expec…