Elizabeth D. Mynatt

schoolGeorgia Institute of Technologybar_chart#582 Global Rank

Total Papers

HCI Rank

#582

Research Areas

Years Active

Recent Publications

Exploring the Future of AI in Clinical Collaboration: A Study on Tumor Board Case Preparation

Multidisciplinary tumor boards (MTBs) bring specialists together to identify therapies for complex cancer cases, but preparing for them is time-intensive. Clinicians must extract key details from extensive records and evaluate treatment options. While large language models (LLMs) show promise in medicine for basic tas…

CHI '26CorrespondingHuman-LLM Collaboration +2

Sometimes You Need Facts, and Sometimes a Hug: Understanding Older Adults’ Preferences for Explanations in LLM-Based Conversational AI Systems

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 prior work has emphasized the importance of AI explainability in building user trust, relatively little is known about older adults’ requirem…

CSCW '252nd AuthorGetting Things Done With AI

“Always Nice and Confident, Sometimes wrong": Developer’s Experiences Engaging Generative AI Chatbots Versus Human-Powered Q&A Platforms

Software engineers have historically relied on human-powered Q&A platforms, like Stack Overflow (SO), as coding aids. With the rise of generative AI, developers have adopted AI chatbots, such as ChatGPT, in their software development process. Recognizing the potential parallels between human-powered Q&A platforms and…

CSCW '255th+ AuthorGetting Things Done With AI

"Mango Mango, How to Let The Lettuce Dry Without A Spinner?'': Exploring User Perceptions of Using An LLM-Based Conversational Assistant Toward Cooking Partner

The rapid advancement of Large Language Models (LLMs) has created numerous potentials for integration with conversational assistants (CAs) assisting people in their daily tasks, particularly due to their extensive flexibility. However, users' real-world experiences interacting with these assistants remain unexplored.…

DIS '255th+ AuthorElderly Care & Dementia Support +1

Insights from Designing Context-Aware Meal Preparation Assistance for Older Adults with Mild Cognitive Impairment (MCI) and Their Care Partners

Older adults with mild cognitive impairment (MCI) often face challenges during meal preparation, such as forgetting ingredients, skipping steps, or leaving appliances on, which can compromise their safety and independence. Our study explores the design of context-aware assistive technologies for meal preparation using…

CSCW '23CorrespondingChatbots and Conversational Agents

"I don’t know how to help with that” - Learning from Limitations of Modern Conversational Agent Systems in Caregiving Networks

While commercial conversational agents (CA) (i.e. Google assistant, Siri, Alexa) are widely used, these systems have limitations in error-handling, flexibility, personalization and overall dialogue management that are amplified in care coordination settings. In this paper, we synthesize and articulate these limitation…

CSCW '235th+ AuthorOlder Adults

Privacy vs. Awareness: Relieving the Tension between Older Adults and Adult Children When Sharing In-home Activity Data

While aging adults frequently prefer to "age in place", their children can worry about their well-being, especially when they live at a distance. Many in-home systems are designed to monitor the real-time status of seniors at home and provide information to their adult children. However, we observed that the needs and…

CHI '222nd AuthorChronic Disease Self-Management (Diabetes, Hypertension, etc.) +1

Investigating Culturally Responsive Design for Menstrual Tracking and Sharing Practices Among Individuals with Minimal Sexual Education

Human-Computer Interaction (HCI) research on menstrual tracking has emphasized the need for more inclusive design of mechanisms for tracking and sharing information on menstruation. We investigate menstrual tracking and data-sharing attitudes and practices in educated, young (20-30 years old) menstruating individuals…

CHI '21CorrespondingIntelligent Voice Assistants (Alexa, Siri, etc.) +2

Empowering Dyads of Older Adults With Mild Cognitive Impairment And Their Care Partners Using Conversational Agents

Conversational agents (CAs) such as Google Home or Alexa offer empowering opportunities for dyads composed of older adults with mild cognitive impairment (MCI) and their care partners. CAs support coordination and planning between the two, and can amplify the support that the care partner needs to provide. In this stu…

CHI '21CorrespondingMental Health Apps & Online Support Communities +1

Charting the Unknown: Challenges in the Clinical Assessment of Patients' Technology Use Related to Eating Disorders

A growing body of research in HCI focuses on understanding how social media and other social technologies impact a given user’s mental health, including eating disorders. In this paper, we review the results of an interview study with 10 clinicians spanning various specialties who treat people with eating disorders, i…

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