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Author: 11676

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"Having Lunch Now": Understanding How Users Engage with a Proactive Agent for Daily Planning and Self-Reflection

Conversational agents have been studied as tools to scaffold planning and self-reflection for productivity and well-being. While prior work has demonstrated positive outcomes, we still lack a clear understanding of what drives these results and how users behave and communicate with agents that act as coaches rather th…

Adnan Abbas et al.Virginia Tech

Human-Human-AI Triadic Programming: Uncovering the Role of AI Agent and the Value of Human Partner in Collaborative Learning

As AI assistance becomes embedded in programming practice, researchers have increasingly examined how these systems help learners generate code and work more efficiently. However, these studies often position AI as a replacement for human collaboration and overlook the social and learning-oriented aspects that emerge…

Taufiq Daryanto et al.Virginia Tech

"Are we writing an advice column for Spock here?" Understanding Stereotypes in AI Advice for Autistic Users

Autistic individuals sometimes disclose autism when asking LLMs for social advice, hoping for more personalized responses. However, they also recognize that these systems may reproduce stereotypes, raising uncertainty about the risks and benefits of disclosure. We conducted a mixed-methods study combining a large-scal…

Caleb Wohn et al.Virginia Tech

Perceiving and Countering Hate: The Role of Identity in Online Responses

This study investigates how online counterspeech, defined as direct responses to harmful online content with the intention of dissuading the perpetrator from further engaging in such behavior, is influenced by the match between a target of the hate speech and a counterspeech writer's identity. Using a sample of 458 En…

Kaike Ping et al.Virginia Tech

Recovering From a Crisis

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PITCH: Designing Agentic Conversational Support for Planning and Self-reflection

Effective planning and reflection are essential for knowledge workers' productivity and well-being, yet many struggle with them. While conversational agents (CAs) have shown promise, existing approaches rely on repetitive check-in without variance. We designed PITCH, a CA that checks in twice daily for morning plannin…

Adnan Abbas et al.Virginia Tech

How Managers Perceive AI-Assisted Conversational Training for Workplace Communication

Effective workplace communication is essential for managerial success, yet many managers lack access to tailored and sustained training. Although AI-assisted communication systems may offer scalable training solutions, little is known about how managers envision the role of AI in helping them improve their communicati…

Lance T Wilhelm et al.Virginia Tech

Reimagining Support: Exploring Autistic Individuals' Visions for AI in Coping with Negative Self-Talk

Autistic individuals often experience negative self-talk (NST), leading to increased anxiety and depression. While therapy is recommended, it presents challenges for many autistic individuals. Meanwhile, a growing number are turning to large language models (LLMs) for mental health support. To understand how autistic…

Buse Carik et al.Virginia Tech

Understanding the Relationship Between Social Identity and Self-Expression Through Animated Gifs on Social Media

GIFs afford a high degree of personalization, as they are often created from popular movie and video clips with diverse and realistic characters, each expressing a nuanced emotional state through a combination of characters' own unique bodily gestures and distinctive visual backgrounds. These properties of high person…

Marx Wang et al.University Of Washington

Session 2g: Identity, Visibility and Care in Online Spaces

Linguistically Differentiating Acts and Recalls of Racial Microaggressions on Social Media

In this work, we examine the linguistic signature of online racial microaggressions (acts) and how it differs from that of personal narratives recalling experiences of such aggressions (recalls) by Black social media users. We manually curate and annotate a corpus of acts and recalls from \textit{in-the-wild} social m…

Uma Sushmitha Gunturi et al.Virginia Tech

Session 1b: From Hate Speech and Propaganda to Online Public Deliberation

Leveraging Prompt-Based Large Language Models: Predicting Pandemic Health Decisions and Outcomes Through Social Media Language

We introduce a multi-step reasoning framework using prompt-based LLMs to examine the relationship between social media language patterns and trends in national health outcomes. Grounded in fuzzy-trace theory, which emphasizes the importance of “gists” of causal coherence in effective health communication, we introduce…

Xiaohan Ding et al.Virginia Tech

A Design Space for Intelligent and Interactive Writing Assistants

In our era of rapid technological advancement, the research landscape for writing assistants has become increasingly fragmented across various research communities. We seek to address this challenge by proposing a design space as a structured way to examine and explore the multidimensional space of intelligent and int…

Mina Lee et al.Stanford University

Paper Title	Authors	Research Topics
"Having Lunch Now": Understanding How Users Engage with a Proactive Agent for Daily Planning and Self-Reflection Conversational agents have been studied as tools to scaffold planning and self-reflection for productivity and well-being. While prior work has demonstrated positive outcomes, we still lack a clear understanding of what drives these results and how users behave and communicate with agents that act as coaches rather th…	AA Adnan Abbas et al.Virginia Tech
Human-Human-AI Triadic Programming: Uncovering the Role of AI Agent and the Value of Human Partner in Collaborative Learning As AI assistance becomes embedded in programming practice, researchers have increasingly examined how these systems help learners generate code and work more efficiently. However, these studies often position AI as a replacement for human collaboration and overlook the social and learning-oriented aspects that emerge…	TD Taufiq Daryanto et al.Virginia Tech
"Are we writing an advice column for Spock here?" Understanding Stereotypes in AI Advice for Autistic Users Autistic individuals sometimes disclose autism when asking LLMs for social advice, hoping for more personalized responses. However, they also recognize that these systems may reproduce stereotypes, raising uncertainty about the risks and benefits of disclosure. We conducted a mixed-methods study combining a large-scal…	CW Caleb Wohn et al.Virginia Tech
Perceiving and Countering Hate: The Role of Identity in Online Responses This study investigates how online counterspeech, defined as direct responses to harmful online content with the intention of dissuading the perpetrator from further engaging in such behavior, is influenced by the match between a target of the hate speech and a counterspeech writer's identity. Using a sample of 458 En…	KP Kaike Ping et al.Virginia Tech	Recovering From a Crisis
AdRecommended Learn AI Coding at CodeNow Structured lessons, hands-on projects, and continuous updates for people bringing AI into real development work. Explore Now
PITCH: Designing Agentic Conversational Support for Planning and Self-reflection Effective planning and reflection are essential for knowledge workers' productivity and well-being, yet many struggle with them. While conversational agents (CAs) have shown promise, existing approaches rely on repetitive check-in without variance. We designed PITCH, a CA that checks in twice daily for morning plannin…	AA Adnan Abbas et al.Virginia Tech
How Managers Perceive AI-Assisted Conversational Training for Workplace Communication Effective workplace communication is essential for managerial success, yet many managers lack access to tailored and sustained training. Although AI-assisted communication systems may offer scalable training solutions, little is known about how managers envision the role of AI in helping them improve their communicati…	LW Lance T Wilhelm et al.Virginia Tech
Reimagining Support: Exploring Autistic Individuals' Visions for AI in Coping with Negative Self-Talk Autistic individuals often experience negative self-talk (NST), leading to increased anxiety and depression. While therapy is recommended, it presents challenges for many autistic individuals. Meanwhile, a growing number are turning to large language models (LLMs) for mental health support. To understand how autistic…	BC Buse Carik et al.Virginia Tech
Understanding the Relationship Between Social Identity and Self-Expression Through Animated Gifs on Social Media GIFs afford a high degree of personalization, as they are often created from popular movie and video clips with diverse and realistic characters, each expressing a nuanced emotional state through a combination of characters' own unique bodily gestures and distinctive visual backgrounds. These properties of high person…	MW Marx Wang et al.University Of Washington	Session 2g: Identity, Visibility and Care in Online Spaces
Linguistically Differentiating Acts and Recalls of Racial Microaggressions on Social Media In this work, we examine the linguistic signature of online racial microaggressions (acts) and how it differs from that of personal narratives recalling experiences of such aggressions (recalls) by Black social media users. We manually curate and annotate a corpus of acts and recalls from \textit{in-the-wild} social m…	UG Uma Sushmitha Gunturi et al.Virginia Tech	Session 1b: From Hate Speech and Propaganda to Online Public Deliberation
Leveraging Prompt-Based Large Language Models: Predicting Pandemic Health Decisions and Outcomes Through Social Media Language We introduce a multi-step reasoning framework using prompt-based LLMs to examine the relationship between social media language patterns and trends in national health outcomes. Grounded in fuzzy-trace theory, which emphasizes the importance of “gists” of causal coherence in effective health communication, we introduce…	XD Xiaohan Ding et al.Virginia Tech
A Design Space for Intelligent and Interactive Writing Assistants In our era of rapid technological advancement, the research landscape for writing assistants has become increasingly fragmented across various research communities. We seek to address this challenge by proposing a design space as a structured way to examine and explore the multidimensional space of intelligent and int…	ML Mina Lee et al.Stanford University