10 papers · 1 filter
Adaptive Captioning with Emotional Cues: Supporting DHH and Neurodivergent Learners in STEM
Sunday David Ubur, Eugenia Ha Rim Rho, Denis Gracanin
Real-time captioning is vital for Deaf and Hard of Hearing (DHH) and neurodivergent learners (e.g., those with ADHD), yet it often omits emotional and non-verbal cues essential for…
"Are we writing an advice column for Spock here?" Understanding Stereotypes in AI Advice for Autistic Users
Caleb Wohn, Buse Ãarık, Xiaohan Ding +3
Autistic individuals sometimes disclose autism when asking LLMs for social advice, hoping for more personalized responses. However, they also recognize that these systems may repro…
Human-Human-AI Triadic Programming: Uncovering the Role of AI Agent and the Value of Human Partner in Collaborative Learning
Taufiq Daryanto, Xiaohan Ding, Kaike Ping +4
As AI assistance becomes embedded in programming practice, researchers have increasingly examined how these systems help learners generate code and work more efficiently. However,…
Designing Human-AI Collaboration to Support Learning in Counterspeech Writing
Xiaohan Ding, Kaike Ping, Uma Sushmitha Gunturi +7
Online hate speech has become increasingly prevalent on social media, causing harm to individuals and society. While automated content moderation has received considerable attentio…
Designing Conversational AI to Support Think-Aloud Practice in Technical Interview Preparation for CS Students
Taufiq Daryanto, Sophia Stil, Xiaohan Ding +7
One challenge in technical interviews is the think-aloud process, where candidates verbalize their thought processes while solving coding tasks. Despite its importance, opportuniti…
How Managers Perceive AI-Assisted Conversational Training for Workplace Communication
Lance T. Wilhelm, Xiaohan Ding, Kirk McInnis Knutsen +2
Effective workplace communication is essential for managerial success, yet many managers lack access to tailored and sustained training. Although AI-assisted communication systems…