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20242026
most citedConversate: Supporting Reflective Learning in Interview Practice Through Interactive Simulation and Dialogic Feedback

40 citations · 64 across the 11 of their papers we have counts for

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Showing 2024 · cs.HCShow all

5 papers · 2 filters

cs.HC2024★ 40 cited

Conversate: Supporting Reflective Learning in Interview Practice Through Interactive Simulation and Dialogic Feedback

Taufiq Daryanto, Xiaohan Ding, Lance T. Wilhelm +3

Job interviews play a critical role in shaping one's career, yet practicing interview skills can be challenging, especially without access to human coaches or peers for feedback. R…

cs.HC2024★ 2 cited

Exploring Large Language Models Through a Neurodivergent Lens: Use, Challenges, Community-Driven Workarounds, and Concerns

Buse Carik, Kaike Ping, Xiaohan Ding +1

Despite the increasing use of large language models (LLMs) in everyday life among neurodivergent individuals, our knowledge of how they engage with, and perceive LLMs remains limit…

cs.HC2024★ 2 cited

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…

cs.HC2024★ 4 cited

Behind the Counter: Exploring the Motivations and Barriers of Online Counterspeech Writing

Kaike Ping, Anisha Kumar, Xiaohan Ding +1

Current research mainly explores the attributes and impact of online counterspeech, leaving a gap in understanding of who engages in online counterspeech or what motivates or deter…

cs.HC2024★ 8 cited

Linguistically Differentiating Acts and Recalls of Racial Microaggressions on Social Media

Uma Sushmitha Gunturi, Anisha Kumar, Xiaohan Ding +1

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 aggress…