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Generative Artificial Intelligence (GenAI) systems are increasingly being deployed across diverse industries and research domains. Developers and end-users interact with these systems through the use of prompting and prompt engineering.…

Studies of Generative AI (GenAI)-assisted creative workflows have focused on individuals overcoming challenges of prompting to produce what they envisioned. When designers work in teams, how do collaboration and prompting influence each…

Human-Computer Interaction · Computer Science 2025-09-29 Yuanning Han , Ziyi Qiu , Jiale Cheng , RAY LC

The rapid development of large language models is transforming software development. Beyond serving as code auto-completion tools in integrated development environments, large language models increasingly function as foundation models…

Software Engineering · Computer Science 2026-01-26 Junjie Shi , Weisong Sun , Zhenpeng Chen , Zhujun Wu , Xiaohong Chen , Zhi Jin , Yang Liu

Inductive qualitative methods have been a mainstay of education research for decades, yet it takes much time and effort to conduct rigorously. Recent advances in artificial intelligence, particularly with generative AI (GAI), have led to…

Computation and Language · Computer Science 2024-11-12 John Chen , Alexandros Lotsos , Lexie Zhao , Grace Wang , Uri Wilensky , Bruce Sherin , Michael Horn

In the realm of AI architectural design, the importance of prompts is becoming increasingly prominent. With advancements in artificial intelligence and large-scale model technology, more design tasks are being delegated to machine learning…

Human-Computer Interaction · Computer Science 2024-04-25 Xin Zhang , Wenwen Liu

Text-to-image generative models are a new and powerful way to generate visual artwork. However, the open-ended nature of text as interaction is double-edged; while users can input anything and have access to an infinite range of…

Human-Computer Interaction · Computer Science 2023-09-29 Vivian Liu , Lydia B. Chilton

Modern computing students often rely on both natural-language prompting and manual code editing to solve programming tasks. Yet we still lack a clear understanding of how these two modes are combined in practice, and how their usage varies…

The application of Large Language Models (LLMs) is growing in the productive completion of Software Engineering tasks. Yet, studies investigating the productive prompting techniques often employed a limited problem space, primarily focusing…

Software Engineering · Computer Science 2025-08-07 Sangwon Hyun , Hyunjun Kim , Jinhyuk Jang , Hyojin Choi , M. Ali Babar

Learning to use feature-rich software is a persistent challenge, but generative AI tools promise to lower this barrier by replacing complex navigation with natural language prompts. We investigated how people approach prompt-based tools for…

Human-Computer Interaction · Computer Science 2026-04-01 Kanak Gautam , Poorvi Bhatia , Parmit K. Chilana

This workshop paper presents a critical examination of the integration of Generative AI (Gen AI) into the academic writing process, focusing on the use of AI as a collaborative tool. It contrasts the performance and interaction of two AI…

Human-Computer Interaction · Computer Science 2024-04-26 Joseph Tu , Hilda Hadan , Derrick M. Wang , Sabrina A Sgandurra , Reza Hadi Mogavi , Lennart E. Nacke

Large Language Models (LLMs) are nowadays extensively used for various types of software engineering tasks, primarily code generation. Previous research has shown how suitable prompt engineering could help developers in improving their code…

Generative AI (GenAI) has fundamentally changed how knowledge workers, such as software developers, solve tasks and collaborate to build software products. Introducing innovative tools like ChatGPT and Copilot has created new opportunities…

Software Engineering · Computer Science 2024-05-06 Rasmus Ulfsnes , Nils Brede Moe , Viktoria Stray , Marianne Skarpen

GitHub's Copilot for Pull Requests (PRs) is a promising service aiming to automate various developer tasks related to PRs, such as generating summaries of changes or providing complete walkthroughs with links to the relevant code. As this…

Software Engineering · Computer Science 2024-02-15 Tao Xiao , Hideaki Hata , Christoph Treude , Kenichi Matsumoto

Introductory programming courses often emphasize mastering syntax and basic constructs before progressing to more complex and interesting programs. This bottom-up approach can be frustrating for novices, shifting the focus away from problem…

Computers and Society · Computer Science 2024-10-07 Chris Kerslake , Paul Denny , David H Smith , James Prather , Juho Leinonen , Andrew Luxton-Reilly , Stephen MacNeil

This study examines the impact of GitHub Copilot on a large sample of Copilot users (n=934,533). The analysis shows that users on average accept nearly 30% of the suggested code, leading to increased productivity. Furthermore, our research…

General Economics · Economics 2023-06-28 Thomas Dohmke , Marco Iansiti , Greg Richards

AI-powered coding assistants, like GitHub Copilot, are increasingly used to boost developers' productivity. However, their output quality hinges on the contextual richness of the prompts. Meanwhile, gaze behaviour carries rich cognitive…

Human-Computer Interaction · Computer Science 2025-11-12 Yasmine Elfares , Gül Çalikli , Mohamed Khamis

The abilities of Generative-Artificial Intelligence (AI) to produce real-time, sophisticated responses across diverse contexts has promised a huge potential in physics education, particularly in providing customized feedback. In this study,…

Physics Education · Physics 2025-08-14 Amogh Sirnoorkar , N. Sanjay Rebello

Interaction with Large Language Models (LLMs) is primarily carried out via prompting. A prompt is a natural language instruction designed to elicit certain behaviour or output from a model. In theory, natural language prompts enable…

Human-Computer Interaction · Computer Science 2024-03-15 Michael Desmond , Michelle Brachman

Generative AI (GenAI) has spurred the expectation of being creative, due to its ability to generate content, yet so far, its creativity has somewhat disappointed, because it is trained using existing data following human intentions to…

Artificial Intelligence · Computer Science 2024-05-14 Ming-Hui Huang , Roland T. Rust

Generative AI technologies promise to transform the product development lifecycle. This study evaluates the efficiency gains, areas for improvement, and emerging challenges of using GitHub Copilot, an AI-powered coding assistant. We…

Software Engineering · Computer Science 2024-06-27 Ruchika Pandey , Prabhat Singh , Raymond Wei , Shaila Shankar