31 citations · 58 across the 30 of their papers we have counts for
8 papers · 1 filter
Search or Chat? Comparing How We Learn About Debated Topics
Ran Yu, Alisa Rieger, Rabia Karatoprak Ersen +1
As large language models (LLMs) become more integrated into everyday information platforms, chat-based systems are emerging as a popular alternative to traditional web searches, es…
ECHO: An Open Research Platform for Evaluation of Chat, Human Behavior, and Outcomes
Jiqun Liu, Nischal Dinesh, Ran Yu
ECHO (Evaluation of Chat, Human behavior, and Outcomes) is an open research platform designed to support reproducible, mixed-method studies of human interaction with both conversat…
Seeing to Think? How Source Transparency Design Shapes Interactive Information Seeking and Evaluation in Conversational AI
Jiangen He, Jiqun Liu
Conversational AI systems increasingly function as primary interfaces for information seeking, yet how they present sources to support information evaluation remains under-explored…
Not All Transparency Is Equal: Source Presentation Effects on Attention, Interaction, and Persuasion in Conversational Search
Jiangen He, Jiqun Liu
Conversational search systems increasingly provide source citations, yet how citation or source presentation formats influence user engagement remains unclear. We conducted a crowd…
Your plan may succeed, but what about failure? Investigating how people use ChatGPT for long-term life task planning
Ben Wang, Jiqun Liu
Long-term life task planning is inherently complex and uncertain, yet little is known about how emerging AI systems support this process. This study investigates how people use Cha…
Human-Centered Explainability in Interactive Information Systems: A Survey
Yuhao Zhang, Jiaxin An, Ben Wang +2
Human-centered explainability has become a critical foundation for the responsible development of interactive information systems, where users must be able to understand, interpret…
Trapped by Expectations: Functional Fixedness in LLM-Enabled Chat Search
Jiqun Liu, Jamshed Karimnazarov, Ryen W. White
Functional fixedness, a cognitive bias that restricts users' interactions with a new system or tool to expected or familiar ways, limits the full potential of Large Language Model…
Task Supportive and Personalized Human-Large Language Model Interaction: A User Study
Ben Wang, Jiqun Liu, Jamshed Karimnazarov +1
Large language model (LLM) applications, such as ChatGPT, are a powerful tool for online information-seeking (IS) and problem-solving tasks. However, users still face challenges in…