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Crafting a rich and unique environment is crucial for fictional world-building, but can be difficult to achieve since illustrating a world from scratch requires time and significant skill. We investigate the use of recent multi-modal image…

Human-Computer Interaction · Computer Science 2023-08-28 Hai Dang , Frederik Brudy , George Fitzmaurice , Fraser Anderson

Interactive 3D model texture editing presents enhanced opportunities for creating 3D assets, with freehand drawing style offering the most intuitive experience. However, existing methods primarily support sketch-based interactions for…

Computer Vision and Pattern Recognition · Computer Science 2026-02-02 Yudi Zhang , Yeming Geng , Lei Zhang

Prompting is central to interaction with AI systems, yet many users struggle to explore alternative directions, articulate creative intent, or understand how variations in prompts shape model outputs. We introduce prompt recommender systems…

Human-Computer Interaction · Computer Science 2026-01-23 Jason Kim , Maria Teleki , James Caverlee

Large Language Models (LLMs) have gained widespread popularity due to their ability to perform ad-hoc Natural Language Processing (NLP) tasks with a simple natural language prompt. Part of the appeal for LLMs is their approachability to the…

Human-Computer Interaction · Computer Science 2025-02-25 Aditi Mishra , Utkarsh Soni , Anjana Arunkumar , Jinbin Huang , Bum Chul Kwon , Chris Bryan

Text-to-image generation model is able to generate images across a diverse range of subjects and styles based on a single prompt. Recent works have proposed a variety of interaction methods that help users understand the capabilities of…

Human-Computer Interaction · Computer Science 2023-07-19 Seungho Baek , Hyerin Im , Jiseung Ryu , Juhyeong Park , Takyeon Lee

Building on Papert (1980)'s idea of children talking to computers, we propose ChatLogo, a hybrid natural-programming language interface for agent-based modeling and programming. We build upon previous efforts to scaffold ABM & P learning…

Human-Computer Interaction · Computer Science 2023-08-17 John Chen , Uri Wilensky

State-of-the-art visual generative AI tools hold immense potential to assist users in the early ideation stages of creative tasks -- offering the ability to generate (rather than search for) novel and unprecedented (instead of existing)…

Computer Vision and Pattern Recognition · Computer Science 2025-09-05 Evans Xu Han , Alice Qian Zhang , Haiyi Zhu , Hong Shen , Paul Pu Liang , Jane Hsieh

The trade-off between expressiveness and interpretability remains a core challenge when building human-centric predictive models for classification and decision-making. While symbolic rules offer interpretability, they often lack…

Artificial Intelligence · Computer Science 2024-06-26 Ruochen Wang , Si Si , Felix Yu , Dorothea Wiesmann , Cho-Jui Hsieh , Inderjit Dhillon

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

Recent advances in Large Language Models (LLMs) have introduced a new paradigm for software development, where source code is generated from natural language prompts. While this paradigm significantly boosts development productivity,…

Human-Computer Interaction · Computer Science 2026-05-06 Jinsheng Ba , Sverrir Thorgeirsson , Zhendong Su

By simply composing prompts, developers can prototype novel generative applications with Large Language Models (LLMs). To refine prototypes into products, however, developers must iteratively revise prompts by evaluating outputs to diagnose…

Human-Computer Interaction · Computer Science 2024-02-28 Tae Soo Kim , Yoonjoo Lee , Jamin Shin , Young-Ho Kim , Juho Kim

Generative AI has demonstrated unprecedented creativity in the field of computer vision, yet such phenomena have not been observed in natural language processing. In particular, large language models (LLMs) can hardly produce written works…

Computation and Language · Computer Science 2024-06-18 Jing Chen , Xinyu Zhu , Cheng Yang , Chufan Shi , Yadong Xi , Yuxiang Zhang , Junjie Wang , Jiashu Pu , Rongsheng Zhang , Yujiu Yang , Tian Feng

Text-to-image generative models can be tremendously valuable in supporting creative tasks by providing inspirations and enabling quick exploration of different design ideas. However, one common challenge is that users may still not be able…

Human-Computer Interaction · Computer Science 2025-10-06 Yuhan Guo , Xingyou Liu , Xiaoru Yuan , Kai Xu

With the growing capabilities of large language models (LLMs), they are increasingly applied in areas like intelligent customer service, code generation, and knowledge management. Natural language (NL) prompts act as the ``APIs'' for…

Software Engineering · Computer Science 2025-08-12 Zhenchang Xing , Yang Liu , Zhuo Cheng , Qing Huang , Dehai Zhao , Daniel Sun , Chenhua Liu

Architects adopt visual scripting and parametric design tools to explore more expansive design spaces (Coates, 2010), refine their thinking about the geometric logic of their design (Woodbury, 2010), and overcome conventional software…

Computation and Language · Computer Science 2024-12-05 Moritz Rietschel , Fang Guo , Kyle Steinfeld

Deep generative models have the potential to fundamentally change the way we create high-fidelity digital content but are often hard to control. Prompting a generative model is a promising recent development that in principle enables…

Human-Computer Interaction · Computer Science 2022-09-07 Hai Dang , Lukas Mecke , Florian Lehmann , Sven Goller , Daniel Buschek

Generative text-to-image models have gained great popularity among the public for their powerful capability to generate high-quality images based on natural language prompts. However, developing effective prompts for desired images can be…

Artificial Intelligence · Computer Science 2023-11-02 Yingchaojie Feng , Xingbo Wang , Kam Kwai Wong , Sijia Wang , Yuhong Lu , Minfeng Zhu , Baicheng Wang , Wei Chen

In this work, we explore explicit Large Language Model (LLM)-powered support for the iterative design of computer programs. Program design, like other design activity, is characterized by navigating a space of alternative problem…

Human-Computer Interaction · Computer Science 2025-03-11 J. D. Zamfirescu-Pereira , Eunice Jun , Michael Terry , Qian Yang , Björn Hartmann

Prompting-based user interfaces (UIs) shift the task of defining and accessing relevant functions from developers to users. However, how UIs shape this flexibility has not yet been investigated explicitly. We explored interaction with Large…

Human-Computer Interaction · Computer Science 2024-10-15 Florian Lehmann , Daniel Buschek

Introduction: The application of Artificial Intelligence in games has evolved significantly, allowing for dynamic content generation. However, its use as a core gameplay co-creation tool remains underexplored. Objective: This paper proposes…

Artificial Intelligence · Computer Science 2025-11-21 Emanuel C. Silva , Emily S. M. Salum , Gabriel M. Arantes , Matheus P. Pereira , Vinicius F. Oliveira , Alessandro L. Bicho