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Human-AI Collaboration
Hands-Off or Hands-On? Variation in Area Chair Practices and Implications for AI Support
Area chairs (ACs) play a critical role in the peer-review process, managing conflicts and ensuring fair outcomes. Although AI tools …
Ines Arous
,
Neha Nayak Kennard
,
Andrei Mircea
,
Emily Kuang
,
Jackie Chi Kit Cheung
,
Andrew McCallum
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DOI
“I don’t want to engineer prompts, I want to engineer products”: 3D CAD Designers’ Views on Futuristic GenAI Concepts
Professional CAD designers are open to GenAI when it supports functionality and creativity, but they see it as a tool, partner, and mentor rather than a single fixed metaphor.
Emily Kuang
,
Jo Vermeulen
,
George Fitzmaurice
,
Justin Matejka
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MindTrellis: Co-Creating Knowledge Structures with AI through Interactive Visual Exploration
Knowledge workers face increasing challenges in synthesizing information from multiple documents into structured conceptual …
Xiang Li
,
Cara Li
,
Emily Kuang
,
Can Liu
,
Jian Zhao
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DOI
When Constraints Limit and Inspire: Characterizing Presentation Authoring Practices for Evolving Narratives
Authoring presentation slides involves navigating contextual constraints that shape how content is structured, adapted, and reused. …
Linxiu Zeng
,
Emily Kuang
,
Jian Zhao
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DOI
Standardizing the Evaluation of Usability Test Results: Criteria Development and Human-AI Collaborative Performance
The growing use of artificial intelligence (AI) across industries has spurred interest in its application to usability analysis. Yet, …
Emily Kuang
,
Luyao Shen
,
Ehsan Jahangirzadeh Soure
,
Mingming Fan
,
Kristen Shinohara
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DOI
"I'm Not Reading All of That": Understanding Software Engineers' Level of Cognitive Engagement with Agentic Coding Assistants
Over-reliance on AI systems can undermine users’ critical thinking and promote complacency, a risk intensified by the emergence …
Carlos Rafael Catalan
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Lheane Marie Dizon
,
Patricia Nicole Monderin
,
Emily Kuang
DOI
“It Became My Buddy, But I’m Not Afraid to Disagree”: A Multi-Session Study of UX Evaluators Collaborating with Conversational AI Assistants
AI-assisted usability analysis can potentially reduce the time and effort of finding usability problems, yet little is known about how …
Emily Kuang
,
Ehsan Jahangirzadeh Soure
,
Luyao Shen
,
Nitesh Goyal
,
Mingming Fan
,
Kristen Shinohara
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DOI
Beyond One User and One Model: Rethinking LLMs as Mediators in Collaborative Sensemaking and Ideation
As LLMs enter qualitative data workflows, they are predominantly designed for individual researchers rather than collaborative …
Pengqi Wang
,
Emily Kuang
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MultiUX: A Human-AI Collaborative Tool to Facilitate Multiple Usability Test Video Analyses
Analyzing multiple usability videos is essential for identifying common problems and prioritizing them. While existing tools assist in …
Luyao Shen
,
Qing Shi
,
Emily Kuang
,
Linjie Qiu
,
Shixu Zhou
,
Pan Hui
,
Mingming Fan
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DOI
AI as a Bridge Across Ages: Exploring The Opportunities of Artificial Intelligence in Supporting Inter-Generational Communication in Virtual Reality
Inter-generational communication plays a vital role in bridging generational gaps and fostering mutual understanding. However, it …
Qiuxin Du
,
Xiaoying Wei
,
Jiawei Li
,
Emily Kuang
,
Dongdong Weng
,
Mingming Fan
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DOI
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