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Generative AI models are increasingly being integrated into human task workflows, enabling the production of expressive content across a wide range of contexts. Unlike traditional human-AI design methods, the new approach to designing…

Human-Computer Interaction · Computer Science 2025-04-01 Hari Subramonyam , Divy Thakkar , Andrew Ku , Jürgen Dieber , Anoop Sinha

This paper presents 3Description, an experimental human-AI collaborative approach for intuitive 3D modeling. 3Description aims to address accessibility and usability challenges in traditional 3D modeling by enabling non-professional…

Human-Computer Interaction · Computer Science 2025-06-30 Zhuodi Cai

Design inspiration is crucial for establishing the direction of a design as well as evoking feelings and conveying meanings during the conceptual design process. Many practice designers use text-based searches on platforms like Pinterest to…

Human-Computer Interaction · Computer Science 2024-07-18 Ye Wang , Nicole B. Damen , Thomas Gale , Voho Seo , Hooman Shayani

Generative AI for the creation of images is becoming a staple in the toolkit of digital artists and visual designers. The interaction with these systems is mediated by \emph{prompting}, a process in which users write a short text to…

Computers and Society · Computer Science 2024-02-20 Maddalena Torricelli , Mauro Martino , Andrea Baronchelli , Luca Maria Aiello

Well-designed prompts can guide text-to-image models to generate amazing images. However, the performant prompts are often model-specific and misaligned with user input. Instead of laborious human engineering, we propose prompt adaptation,…

Computation and Language · Computer Science 2024-01-01 Yaru Hao , Zewen Chi , Li Dong , Furu Wei

Text-to-3D generative AI systems create navigable environments from natural language prompts, but unlike text-to-image generation, evaluation requires embodied exploration of spatial coherence, scale, and navigability. We present the first…

Human-Computer Interaction · Computer Science 2026-03-17 Aung Pyae

This paper examines the art practices, artwork, and motivations of prolific users of the latest generation of text-to-image models. Through interviews, observations, and a user survey, we present a sampling of the artistic styles and…

Human-Computer Interaction · Computer Science 2023-03-23 Minsuk Chang , Stefania Druga , Alex Fiannaca , Pedro Vergani , Chinmay Kulkarni , Carrie Cai , Michael Terry

Generative AI, such as image generation models and large language models, stands to provide tremendous value to end-user programmers in creative and knowledge workflows. Current research methods struggle to engage end-users in a realistic…

Human-Computer Interaction · Computer Science 2023-12-29 Advait Sarkar , Ian Drosos , Rob Deline , Andrew D. Gordon , Carina Negreanu , Sean Rintel , Jack Williams , Benjamin Zorn

While recent advancements in artificial intelligence (AI) language models demonstrate cutting-edge performance when working with English texts, equivalent models do not exist in other languages or do not reach the same performance level.…

Computation and Language · Computer Science 2022-12-26 Noga Mudrik , Adam S. Charles

Text-to-image generative models, specifically those based on diffusion models like Imagen and Stable Diffusion, have made substantial advancements. Recently, there has been a surge of interest in the delicate refinement of text prompts.…

Computer Vision and Pattern Recognition · Computer Science 2024-04-08 Wenyi Mo , Tianyu Zhang , Yalong Bai , Bing Su , Ji-Rong Wen , Qing Yang

Traditional visualisation designers often start with sketches before implementation. With generative AI, these sketches can be turned into AI-generated visualisations using specific prompts. However, guiding AI to create compelling visuals…

Human-Computer Interaction · Computer Science 2024-09-04 Aron E. Owen , Jonathan C. Roberts

Generative AI (GenAI) tools are increasingly integrated into design workflows. While text prompts remain the primary input method for GenAI image tools, designers often struggle to craft effective ones. Moreover, research has primarily…

Human-Computer Interaction · Computer Science 2025-04-09 Hyerim Park , Malin Eiband , Andre Luckow , Michael Sedlmair

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

Aligning text-to-image generation with user intent remains challenging, as users frequently provide ambiguous inputs and struggle with model idiosyncrasies. We propose Adaptive Prompt Elicitation (APE), a technique that adaptively poses…

Human-Computer Interaction · Computer Science 2026-04-22 Xinyi Wen , Lena Hegemann , Xiaofu Jin , Shuai Ma , Antti Oulasvirta

Text-to-image generation models have grown in popularity due to their ability to produce high-quality images from a text prompt. One use for this technology is to enable the creation of more accessible art creation software. In this paper,…

Human-Computer Interaction · Computer Science 2023-09-06 Atieh Taheri , Mohammad Izadi , Gururaj Shriram , Negar Rostamzadeh , Shaun Kane

This paper presents the development of an AI-powered workflow that uses Large Language Models (LLMs) to assist in drafting schematic architectural floor plans from natural language prompts. The proposed system interprets textual input to…

Artificial Intelligence · Computer Science 2025-09-03 Jayakrishna Duggempudi , Lu Gao , Ahmed Senouci , Zhe Han , Yunpeng Zhang

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

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

Text-to-image models are enabling efficient design space exploration, rapidly generating images from text prompts. However, many generative AI tools are imperfect for product design applications as they are not built for the goals and…

Human-Computer Interaction · Computer Science 2025-01-22 Leah Chong , I-Ping Lo , Jude Rayan , Steven Dow , Faez Ahmed , Ioanna Lykourentzou

Conceptual architecture involves a highly creative exploration of novel ideas, often taken from other disciplines as architects consider radical new forms, materials, textures and colors for buildings. While today's generative AI systems…

Neural and Evolutionary Computing · Computer Science 2024-04-03 Soo Ling Lim , Peter J Bentley , Fuyuki Ishikawa