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Generative AI models offer many possibilities for text creation and transformation. Current graphical user interfaces (GUIs) for prompting them lack support for iterative exploration, as they do not represent prompts as actionable interface…

Human-Computer Interaction · Computer Science 2025-03-28 Rifat Mehreen Amin , Oliver Hans Kühle , Daniel Buschek , Andreas Butz

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 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

World building forms the foundation of any task that requires narrative intelligence. In this work, we focus on procedurally generating interactive fiction worlds---text-based worlds that players "see" and "talk to" using natural language.…

Artificial Intelligence · Computer Science 2020-01-29 Prithviraj Ammanabrolu , Wesley Cheung , Dan Tu , William Broniec , Mark O. Riedl

While diffusion-based text-to-image (T2I) models provide a simple and powerful way to generate images, guiding this generation remains a challenge. For concepts that are difficult to describe through language, users may struggle to create…

Human-Computer Interaction · Computer Science 2023-08-11 John Joon Young Chung , Eytan Adar

In recent years Generative Machine Learning systems have advanced significantly. A current wave of generative systems use text prompts to create complex imagery, video, even 3D datasets. The creators of these systems claim a revolution in…

Computers and Society · Computer Science 2023-02-03 Jon McCormack , Camilo Cruz Gambardella , Nina Rajcic , Stephen James Krol , Maria Teresa Llano , Meng Yang

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

Recent technological advances popularized the use of image generation among the general public. Crafting effective prompts can, however, be difficult for novice users. To tackle this challenge, we developed PromptMap, a new interaction…

Human-Computer Interaction · Computer Science 2025-04-04 Krzysztof Adamkiewicz , Paweł W. Woźniak , Julia Dominiak , Andrzej Romanowski , Jakob Karolus , Stanislav Frolov

Creativity is a valuable human skill that has long been augmented through both analog and digital tools. Recent progress in generative AI, such as image generation, provides a disruptive technological solution to supporting human creativity…

Human-Computer Interaction · Computer Science 2025-06-05 Daniel Hove Paludan , Julie Fredsgård , Kasper Patrick Bährentz , Ilhan Aslan , Niels van Berkel

Text-to-image generative models have demonstrated remarkable capabilities in generating high-quality images based on textual prompts. However, crafting prompts that accurately capture the user's creative intent remains challenging. It often…

Human-Computer Interaction · Computer Science 2023-04-20 Stephen Brade , Bryan Wang , Mauricio Sousa , Sageev Oore , Tovi Grossman

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

We are witnessing a novel era of creativity where anyone can create digital content via prompt-based learning (known as prompt engineering). This paper investigates prompt engineering as a novel creative skill for creating AI art with…

Human-Computer Interaction · Computer Science 2024-07-08 Jonas Oppenlaender , Rhema Linder , Johanna Silvennoinen

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

We introduce PromptCanvas, a concept that transforms prompting into a composable, widget-based experience on an infinite canvas. Users can generate, customize, and arrange interactive widgets representing various facets of their text,…

Human-Computer Interaction · Computer Science 2025-06-05 Rifat Mehreen Amin , Oliver Hans Kühle , Daniel Buschek , Andreas Butz

Image generation using generative AI is rapidly becoming a major new source of visual media, with billions of AI generated images created using diffusion models such as Stable Diffusion and Midjourney over the last few years. In this paper…

Human-Computer Interaction · Computer Science 2024-01-29 Jon McCormack , Maria Teresa Llano , Stephen James Krol , Nina Rajcic

Text-to-image generation models are powerful but difficult to use. Users craft specific prompts to get better images, though the images can be repetitive. This paper proposes a Prompt Expansion framework that helps users generate…

Computer Vision and Pattern Recognition · Computer Science 2023-12-29 Siddhartha Datta , Alexander Ku , Deepak Ramachandran , Peter Anderson

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

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

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

We present an account of an ongoing practice-based Design Research programme that explores the interaction affordances of real-time AI image generators. Based on our experiences from three installations, we reflect on the design of PromptJ,…

Human-Computer Interaction · Computer Science 2025-04-10 Joseph Lindley , Roger Whitham
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