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Author: 3525

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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…

Jiachen Li et al.Northeastern University

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…

Niharika Mathur et al.Georgia Institute of Technology

“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…

Jiachen Li et al.Northeastern University

Getting 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.…

Reina Szeyi Chan et al.Northeastern University

Getting Things Done With AI

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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…

Szeyi Chan et al.Northeastern University

"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…

Tamara Zubatiy et al.Georgia Institute of Technology

Chatbots and Conversational Agents

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…

Jiachen Li et al.Northeastern University

Older Adults

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…

Georgianna E Lin et al.Georgia Institute of Technology

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…

Tamara Zubatiy et al.Georgia Institute of Technology

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…

Jessica Pater et al.Parkview Health

Exploring Indicators of Digital Self-Harm with Eating Disorder Patients: A Case Study

Digital self-harm encompasses a variety of activities, including the use of social media to facilitate or amplify mental illness-related behaviors. To understand the extent of these behaviors and their impacts, we conducted an in-depth case study with three patients who are in recovery from an eating disorder. We coll…

Jessica A. Pater et al.Georgia Institute of Technology

Health

"Notjustgirls": Exploring Male-related Eating Disordered Content across Social Media Platforms

Eating disorders (EDs) are a worldwide public health concern that impact approximately 10% of the U.S. population. Our previous research characterized these behaviors across online spaces. These characterizations have used clinical terminology, and their lexical variants, to identify ED content online. However, previo…

Jessica A. Pater et al.Georgia Institute of Technology

MyPath: Investigating Breast Cancer Patients’ Use of Personalized Health Information

Following a cancer diagnosis, patients must cope with numerous physical, emotional, and practical challenges. While health information exists to help patients learn how to manage these challenges, health information seeking often declines over time, recalling information is difficult, and limited time with healthcare…

Maia Jacobs et al.

Harvard University

Health and Relationships

Paper Title	Authors	Research Topics
emoji_events 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…	JL Jiachen Li et al.Northeastern University
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…	NM Niharika Mathur et al.Georgia Institute of Technology
“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…	JL Jiachen Li et al.Northeastern University	Getting 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.…	RC Reina Szeyi Chan et al.Northeastern University	Getting Things Done With AI
AdRecommended Learn AI Coding at CodeNow Structured lessons, hands-on projects, and continuous updates for people bringing AI into real development work. Explore Now
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…	SC Szeyi Chan et al.Northeastern University
"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…	TZ Tamara Zubatiy et al.Georgia Institute of Technology	Chatbots and Conversational Agents
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…	JL Jiachen Li et al.Northeastern University	Older Adults
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…	GL Georgianna E Lin et al.Georgia Institute of Technology
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…	TZ Tamara Zubatiy et al.Georgia Institute of Technology
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…	JP Jessica Pater et al.Parkview Health
Exploring Indicators of Digital Self-Harm with Eating Disorder Patients: A Case Study Digital self-harm encompasses a variety of activities, including the use of social media to facilitate or amplify mental illness-related behaviors. To understand the extent of these behaviors and their impacts, we conducted an in-depth case study with three patients who are in recovery from an eating disorder. We coll…	JP Jessica A. Pater et al.Georgia Institute of Technology	Health
"Notjustgirls": Exploring Male-related Eating Disordered Content across Social Media Platforms Eating disorders (EDs) are a worldwide public health concern that impact approximately 10% of the U.S. population. Our previous research characterized these behaviors across online spaces. These characterizations have used clinical terminology, and their lexical variants, to identify ED content online. However, previo…	JP Jessica A. Pater et al.Georgia Institute of Technology
MyPath: Investigating Breast Cancer Patients’ Use of Personalized Health Information Following a cancer diagnosis, patients must cope with numerous physical, emotional, and practical challenges. While health information exists to help patients learn how to manage these challenges, health information seeking often declines over time, recalling information is difficult, and limited time with healthcare…	MJ Maia Jacobs et al.Harvard University	Health and Relationships