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This full research paper investigates the impact of generative AI (GenAI) on the learner experience, with a focus on how learners engage with and utilize the information it provides. In e-learning environments, learners often need to…

人机交互 · 计算机科学 2026-01-21 Hannah Kim , Sergei L. Kosakovsky Pond , Stephen MacNeil

Generative AI tools such as chatGPT are poised to change the way people engage with online information. Recently, Microsoft announced their "new Bing" search system which incorporates chat and generative AI technology from OpenAI. Google…

人机交互 · 计算机科学 2023-07-11 Robert Capra , Jaime Arguello

At its core, information access and seeking is an interactive process. In existing search engines, interactions are limited to a few pre-defined actions, such as "requery", "click on a document", "scrolling up/down", "going to the next…

信息检索 · 计算机科学 2024-07-17 Mohammad Aliannejadi , Jacek Gwizdka , Hamed Zamani

This paper presents a user study (N=22) where participants used an interface combining Web Search and a Generative AI-Chat feature to solve health-related information tasks. We study how people behaved with the interface, why they behaved…

人机交互 · 计算机科学 2025-04-08 Kerstin Mayerhofer , Rob Capra , David Elsweiler

Conversational generative AI systems such as ChatGPT are transforming how people seek and engage with information online. Unlike traditional search engines, these systems support open-ended, conversational inquiry, yet it remains unclear…

人机交互 · 计算机科学 2026-04-14 Yulin Yu , Yizhou Li , Siddharth Suri , Scott Counts

Generative AI (GenAI) search tools are increasingly used for information seeking, yet their design tends to encourage cognitive offloading, which may lead to passive engagement, selective attention, and informational homogenization.…

人机交互 · 计算机科学 2026-03-23 Anjali Singh , Karan Taneja , Zhitong Guan , Soo Young Rieh

The broad adoption of Generative AI (GenAI) is impacting Computer Science education, and recent studies found its benefits and potential concerns when students use it for programming learning. However, most existing explorations focus on…

人机交互 · 计算机科学 2025-10-08 Xinying Hou , Ruiwei Xiao , Runlong Ye , Michael Liut , John Stamper

The rapid adoption of generative AI-powered search engines like ChatGPT, Perplexity, and Gemini is fundamentally reshaping information retrieval, moving from traditional ranked lists to synthesized, citation-backed answers. This shift…

信息检索 · 计算机科学 2025-09-15 Mahe Chen , Xiaoxuan Wang , Kaiwen Chen , Nick Koudas

Large Language Models (LLMs) are rapidly reshaping information retrieval by enabling interactive, generative, and inference-driven search. While traditional keyword-based search remains central to web and academic information access, it…

信息检索 · 计算机科学 2025-12-02 Zhitong Guan , Yi Wang

This research explores the opportunities of Generative AI (GenAI) in the realm of higher education through the design and development of a multimodal chatbot for an undergraduate course. Leveraging the ChatGPT API for nuanced text-based…

人机交互 · 计算机科学 2025-09-25 Johnny Chan , Yuming Li

Generative AI (GenAI) chatbots are becoming increasingly integrated into virtual assistant technologies, yet their success hinges on the ability to gather meaningful user feedback to improve interaction quality, system outcomes, and overall…

人机交互 · 计算机科学 2025-04-22 Janet Rafner , Ryan Q. Guloy , Eden W. Wen , Catherine M. Chiodo , Jacob Sherson

his paper explores what kinds of questions are best served by the way generative AI (GenAI) using Large Language Models(LLMs) that aggregate and package knowledge, and when traditional curated web-sourced search results serve users better.…

人机交互 · 计算机科学 2024-10-17 Ted Selker , Yunzi Wu

The rise of generative AI as a primary information source presents a paradigm shift from traditional web search. This paper presents a large-scale empirical study quantifying the fundamental differences between the results returned by…

信息检索 · 计算机科学 2026-05-19 Mahe Chen , Xiaoxuan Wang , Kaiwen Chen , Nick Koudas

Generative AI (GenAI) tools are transforming information seeking, but their fluent, authoritative responses risk overreliance and discourage independent verification and reasoning. Rather than replacing the cognitive work of users, GenAI…

人机交互 · 计算机科学 2026-01-19 Markus Bink , Marten Risius , Udo Kruschwitz , David Elsweiler

Large Language Models (LLMs) increasingly power generative search engines which, in turn, drive human information seeking and decision making at scale. The extent to which humans trust generative artificial intelligence (GenAI) can…

计算机与社会 · 计算机科学 2025-04-10 Haiwen Li , Sinan Aral

The experience and adoption of conversational search is tied to the accuracy and completeness of users' mental models -- their internal frameworks for understanding and predicting system behaviour. Thus, understanding these models can…

人机交互 · 计算机科学 2025-06-05 Chadha Degachi , Samuel Kernan Freire , Evangelos Niforatos , Gerd Kortuem

The convergence of generative AI and web search is reshaping problem-solving for programmers. However, the lack of understanding regarding their interplay in the information-seeking process often leads programmers to perceive them as…

人机交互 · 计算机科学 2024-06-18 Ryan Yen , Nicole Sultanum , Jian Zhao

The continuing, explosive developments in generative artificial intelligence (GenAI), built on large language models and related algorithms, has led to much excitement and speculation about the potential impact of this new technology.…

计算机与社会 · 计算机科学 2025-03-11 Veda C. Storey , Wei Thoo Yue , J. Leon Zhao , Roman Lukyanenko

As a cornerstone of modern information access, search engines have become indispensable in everyday life. With the rapid advancements in AI and natural language processing (NLP) technologies, particularly large language models (LLMs),…

计算与语言 · 计算机科学 2025-08-07 Fengran Mo , Kelong Mao , Ziliang Zhao , Hongjin Qian , Haonan Chen , Yiruo Cheng , Xiaoxi Li , Yutao Zhu , Zhicheng Dou , Jian-Yun Nie

Generative search systems are increasingly replacing link-based retrieval with AI-generated summaries, yet little is known about how these systems differ in sources, language, and fidelity to cited material. We examine responses to 11,000…

信息检索 · 计算机科学 2026-03-18 Michelle Huang , Agam Goyal , Koustuv Saha , Eshwar Chandrasekharan
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