Xiaohan Ding

schoolVirginia Techbar_chart#1857 Global Rank

Total Papers

HCI Rank

#1857

Research Areas

Years Active

Recent Publications

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…

CHI '263rd AuthorHuman-LLM Collaboration +2

"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…

CUI '252nd AuthorHuman-LLM Collaboration +1

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…

CHI '253rd AuthorHuman-LLM Collaboration +1

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…

CSCW '243rd AuthorSession 1b: From Hate Speech and Propaganda to Online Public Deliberation

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…

CHI '241st AuthorHuman-LLM Collaboration +2

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…

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