2 citations · 2 across the 3 of their papers we have counts for
4 papers
Measuring "Success" In the Transition from Pre- to Post-LLM Conversational Agents through the Lens of Interaction & Explanations for Older Adults
Tamara Zubatiy, Niharika Mathur, Reina Chan +5
Conversational agents (CAs) for older adults have moved through at least two distinct eras, split by the emergence of large language models (LLMs) at the end of 2022. The first era…
"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…