RePrompt: Automatic Prompt Editing to Refine AI-Generative Art Towards Precise Expressions

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High-Resolution Image Synthesis with Latent Diffusion Models

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Learning Transferable Visual Models From Natural Language Supervision

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Aion Framework: Dimensional Emergence of AI Consciousness, Observer-Induced Collapse, and Cosmological Portal Dynamics

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Analyzing and Improving the Image Quality of StyleGAN

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Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing

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Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing

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Large Scale GAN Training for High Fidelity Natural Image Synthesis

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5th International Conference on Learning Representations (ICLR 17)

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Learning to Prompt for Vision-Language Models

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The Power of Scale for Parameter-Efficient Prompt Tuning

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The Power of Scale for Parameter-Efficient Prompt Tuning

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Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding

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Taming Transformers for High-Resolution Image Synthesis

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Hierarchical Text-Conditional Image Generation with CLIP Latents

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Prefix-Tuning: Optimizing Continuous Prompts for Generation

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Anchors: High-Precision Model-Agnostic Explanations

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Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision

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Concreteness ratings for 40 thousand generally known English word lemmas

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GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

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AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts

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CLIPScore: A Reference-free Evaluation Metric for Image Captioning

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How Can We Know What Language Models Know?

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AVA: A large-scale database for aesthetic visual analysis

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Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm

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Exploring CLIP for Assessing the Look and Feel of Images

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Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance

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High-Resolution Image Synthesis with Latent Diffusion Models

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Introducing the Open Affective Standardized Image Set (OASIS)

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Online panels in social science research: Expanding sampling methods beyond Mechanical Turk

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Design Guidelines for Prompt Engineering Text-to-Image Generative Models

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AI Chains: Transparent and Controllable Human-AI Interaction by Chaining Large Language Model Prompts

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Photo Aesthetics Ranking Network with Attributes and Content Adaptation

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Building a Large Scale Dataset for Image Emotion Recognition: The Fine Print and The Benchmark

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CARER: Contextualized Affect Representations for Emotion Recognition

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A taxonomy of prompt modifiers for text-to-image generation

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Are Explanations Helpful? A Comparative Study of the Effects of Explanations in AI-Assisted Decision-Making

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VQGAN-CLIP: Open Domain Image Generation and Editing with Natural Language Guidance

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Novice-AI Music Co-Creation via AI-Steering Tools for Deep Generative Models

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How Art Changes Your Brain: Differential Effects of Visual Art Production and Cognitive Art Evaluation on Functional Brain Connectivity

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Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little

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Interactive and Visual Prompt Engineering for Ad-hoc Task Adaptation With Large Language Models

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Interactive and Visual Prompt Engineering for Ad-hoc Task Adaptation with Large Language Models

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DALL-EVAL: Probing the Reasoning Skills and Social Biases of Text-to-Image Generation Models

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Scalable Bayesian Rule ListsPreprint

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The Perception and Evaluation of Visual Art

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Opal: Multimodal Image Generation for News Illustration

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Personalized Image Aesthetics Assessment with Rich Attributes

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Design of Digital Workplace Stress-Reduction Intervention Systems: Effects of Intervention Type and Timing

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Empathy, Einfühlung, and aesthetic experience: the effect of emotion contagion on appreciation of representational and abstract art using fEMG and SCR

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A Theory of Usable Information Under Computational ConstraintsPreprint

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Empathetic Conversational Systems: A Review of Current Advances, Gaps, and Opportunities

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Effects of Aesthetic Chills on a Cardiac Signature of Emotionality

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WikiArt Emotions: An Annotated Dataset of Emotions Evoked by Art

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What Context Features Can Transformer Language Models Use?

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Counseling Through Images: Using Photography to Guide the Counseling Process and Achieve Treatment Goals

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Intellingo

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Initial Images: Using Image Prompts to Improve Subject Representation in Multimodal AI Generated Art

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What does the brain tell us about abstract art?

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Directed Diversity: Leveraging Language Embedding Distances for Collective Creativity in Crowd Ideation

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What are you thinking?: Using CBT and Storytelling to Improve Mental Health Among College Students

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VQGAN-CLIP: Open Domain Image Generation and Editing with Natural Language GuidancePreprint

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Art and Emotions

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AI Chains: Transparent and Controllable Human-AI Interaction by Chaining Large Language Model PromptsPreprint

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DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generation ModelsPreprint

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Interpretable Directed Diversity: Leveraging Model Explanations for Iterative Crowd Ideation

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AffectGAN: Affect-Based Generative Art Driven by Semantics

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Do the Best Design Ideas (Really) Come from Conceptually Distant Sources of Inspiration?

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Therapist art making as a means of helping service users with anxiety problems

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CLIPasso: Semantically-Aware Object SketchingPreprint

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Leveraging CLIP for Image Emotion Recognition.

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Cococo: AI-Steering Tools for Music Novices Co-Creating with Generative Models.

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SalienTrack: providing salient information for semi-automated self-tracking feedback with model explanationsPreprint

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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

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PromptMagician: Interactive Prompt Engineering for Text-to-Image Creation

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PromptCharm: Text-to-Image Generation through Multi-modal Prompting and Refinement

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PromptPaint: Steering Text-to-Image Generation Through Paint Medium-like Interactions

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When and How to Use AI in the Design Process? Implications for Human-AI Design Collaboration

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Prompt Aloud!: Incorporating image-generative AI into STEAM class with learning analytics using prompt data

Lee, U., Han, A., Lee, J., Lee, E., Kim, J., Kim, H., & Lim, C. (2024) · Education and Information Technologies · doi:10.1007/s10639-023-12150-4 · Cited by 107 · see citing works

The Promise and Peril of ChatGPT in Higher Education: Opportunities, Challenges, and Design Implications

Park, H., & Ahn, D. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642785 · Cited by 84 · see citing works

Authorship in artificial intelligence‐generated works: Exploring originality in text prompts and artificial intelligence outputs through philosophical foundations of copyright and collage protection

Mazzi, F. (2024) · The Journal of World Intellectual Property · doi:10.1111/jwip.12310 · Cited by 74 · see citing works

ID.8: Co-Creating Visual Stories with Generative AI

Antony, V. N., & Huang, C.-M. (2024) · ACM Transactions on Interactive Intelligent Systems · doi:10.1145/3672277 · Cited by 81 · see citing works

"I look at it as the king of knowledge": How Blind People Use and Understand Generative AI Tools

Adnin, R., & Das, M. (2024) · The 26th International ACM SIGACCESS Conference on Computers and Accessibility · doi:10.1145/3663548.3675631 · Cited by 73 · see citing works

Generative AI in the Wild: Prospects, Challenges, and Strategies

Sun, Y., Jang, E., Ma, F., & Wang, T. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642160 · Cited by 64 · see citing works

How do people experience the images created by generative artificial intelligence? An exploration of people's perceptions, appraisals, and emotions related to a Gen-AI text-to-image model and its creations

Rapp, A., Lodovico, C. D., Torrielli, F., & Di, L. (2024) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2024.103375 · Cited by 67 · see citing works

Student Interaction with NewtBot: An LLM-as-tutor Chatbot for Secondary Physics Education

Lieb, A., & Goel, T. (2024) · CHI Extended Abstracts · doi:10.1145/3613905.3647957 · Cited by 80 · see citing works

GenQuery: Supporting Expressive Visual Search with Generative Models

Son, K., Choi, D., Kim, T. S., Kim, Y., & Kim, J. (2024) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642847 · Cited by 53 · see citing works

ABScribe: Rapid Exploration & Organization of Multiple Writing Variations in Human-AI Co-Writing Tasks using Large Language Models

Reza, M., Laundry, N. M., Musabirov, I., Dushniku, P., Yu, Z. Y. “., Mittal, K., Grossman, T., Liut, M., Kuzminykh, A., & Williams, J. J. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3641899 · Cited by 52 · see citing works

AIdeation: Designing a Human-AI Collaborative Ideation System for Concept Designers

Wang, W.-F., Lu, C.-T., Ponsa i Campanyà, N., Chen, B.-Y., & Chen, M. Y. (2025) · Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3714148 · Cited by 50 · see citing works

Fashioning Creative Expertise with Generative AI: Graphical Interfaces for Design Space Exploration Better Support Ideation Than Text Prompts

Davis, R. L., Wambsganß, T., Jiang, W., Kim, K. G., Käser, T., & Dillenbourg, P. (2024) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642908 · Cited by 48 · see citing works

Enhancing student GAI literacy in digital multimodal composing through development and validation of a scale

Liu, M., Zhang, L. J., & Zhang, D. (2025) · Computers in Human Behavior · doi:10.1016/j.chb.2025.108569 · Cited by 43 · see citing works

"When He Feels Cold, He Goes to the Seahorse"—Blending Generative AI into Multimaterial Storymaking for Family Expressive Arts Therapy

Liu, D., Zhou, H., & An, P. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642852 · Cited by 38 · see citing works

A Preliminary Exploration of YouTubers' Use of Generative-AI in Content Creation

Lyu, Y., Zhang, H., Niu, S., & Cai, J. (2024) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3613905.3651057 · Cited by 37 · see citing works

ConstitutionMaker: Interactively Critiquing Large Language Models by Converting Feedback into Principles

Petridis, S., Wedin, B. D., Wexler, J., Pushkarna, M., Donsbach, A., Goyal, N., Cai, C. J., & Terry, M. (2024) · Proceedings of the 29th International Conference on Intelligent User Interfaces · doi:10.1145/3640543.3645144 · Cited by 31 · see citing works

Prompt Evolution for Generative AI: A Classifier-Guided Approach

Wong, M., Ong, Y.-S., Gupta, A., Bali, K. K., & Chen, C. (2023) · IEEE Conference on Artificial Intelligence (CAI) · doi:10.1109/cai54212.2023.00105 · Cited by 29 · see citing works

Generative AI for Film Creation: A Survey of Recent Advances

Zhang, R., Yu, B., Min, J., Xin, Y., Wei, Z., Shi, J. N., Huang, M., Kong, X., Xin, N. L., Jiang, S., et al. (2025) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw67362.2025.00623 · Cited by 43 · see citing works

IntentTuner: An Interactive Framework for Integrating Human Intentions in Fine-tuning Text-to-Image Generative Models

Zeng, X., Gao, Z., Ye, Y., & Zeng, W. (2024) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642165 · Cited by 30 · see citing works

Designing for Human-Agent Alignment: Understanding what humans want from their agents

Goyal, N., Chang, M., & Terry, M. A. (2024) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3613905.3650948 · Cited by 27 · see citing works

AutoSpark: Supporting Automobile Appearance Design Ideation with Kansei Engineering and Generative AI

Chen, L., Jing, Q., Tsang, Y., Wang, Q., Liu, R., Xia, D., Zhou, Y., & Sun, L. (2024) · ACM Symposium on User Interface Software and Technology (UIST) · doi:10.1145/3654777.3676337 · Cited by 29 · see citing works

Could ChatGPT Imagine: Content Control for Artistic Painting Generation Via Large Language Models

Lu, Y., Guo, C., Dou, Y., Dai, X., & Wang, F. (2023) · Journal of Intelligent & Robotic Systems · doi:10.1007/s10846-023-01956-6 · Cited by 25 · see citing works

Generative AI in User-Generated Content

Hua, Y., Niu, S., Cai, J., Chilton, L. B., Heuer, H., & Wohn, D. Y. (2024) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3613905.3636315 · Cited by 30 · see citing works

In Whose Voice?: Examining AI Agent Representation of People in Social Interaction through Generative Speech

Hwang, A. H., Siy, J. O., Shelby, R. M., & Lentz, A. (2024) · Designing Interactive Systems Conference · doi:10.1145/3643834.3661555 · Cited by 26 · see citing works

PrompTHis: Visualizing the Process and Influence of Prompt Editing During Text-to-Image Creation

Guo, Y., Shao, H., Liu, C., Xu, K., & Yuan, X. (2024) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2024.3408255 · Cited by 25 · see citing works

IdeationWeb: Tracking the Evolution of Design Ideas in Human-AI Co-Creation

Shen, H., Shen, L., Wu, W., & Zhang, K. (2025) · Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713375 · Cited by 24 · see citing works

A Map of Exploring Human Interaction Patterns with LLM: Insights into Collaboration and Creativity

Li, J., Li, J., & Su, Y. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-60615-1_5 · Cited by 26 · see citing works

“Journey of Finding the Best Query”: Understanding the User Experience of AI Image Generation System

Kim, S., Eun, J., Oh, C., & Lee, J. (2024) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2024.2307670 · Cited by 23 · see citing works

Explainability and vision foundation models: A survey

Kazmierczak, R., Berthier, É., Frehse, G., & Franchi, G. (2025) · Information Fusion · doi:10.1016/j.inffus.2025.103184 · Cited by 37 · see citing works

From Fake Perfects to Conversational Imperfects: Exploring Image-Generative AI as a Boundary Object for Participatory Design of Public Spaces

Guridi, J. A., Hwang, A. H., Santo, D., Goula, M., Cheyre, C., Humphreys, L., & Rangel, M. (2025) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3710912 · Cited by 24 · see citing works

Beyond Numbers: Creating Analogies to Enhance Data Comprehension and Communication with Generative AI

Chen, Q., Shuai, W., Zhang, J., Sun, Z., & Cao, N. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642480 · Cited by 20 · see citing works

The Affective Nature of AI-Generated News Images: Impact on Visual Journalism

Paik, S., Bonna, S., Novozhilova, E., Gao, G., Kim, J., Wijaya, D. T., & Betke, M. (2023) · International Conference on Affective Computing and Intelligent Interaction and workshops · doi:10.1109/acii59096.2023.10388166 · Cited by 17 · see citing works

From Digital Art to Crypto Art: The Evolution of Art Brought by NFT

Guan, M. Y., Li, J., Hu, J., Gu, Z., Wang, Y., Lu, Z., & Wang, K. Y. (2024) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2024.2395088 · Cited by 16 · see citing works

Evaluation of Prompt Engineering on the Performance of a Large Language Model in Document Information Extraction

Chen, L.-C., Weng, H.-T., Pardeshi, M. S., Chen, C.-M., Sheu, R., & Pai, K.-C. (2025) · Electronics · doi:10.3390/electronics14112145 · Cited by 16 · see citing works

PromptMap: An Alternative Interaction Style for AI-Based Image Generation

Adamkiewicz, K., Woźniak, P. W., Dominiak, J., Romanowski, A., Karolus, J., & Frolov, S. (2025) · ACM International Conference on Intelligent User Interfaces (IUI) · doi:10.1145/3708359.3712150 · Cited by 13 · see citing works

Human-AI co-creation or conflict? Mapping art students’ diverse perspectives on creative identity with genAI: A Q methodology study

Wu, X., Tran, T. T. M., Zhou, Q., Sun, J., Wu, H., & Wang, X. (2026) · Education and Information Technologies · doi:10.1007/s10639-026-13914-4 · Cited by 13 · see citing works

Using ChatGPT and Midjourney to Generate Chinese Landscape Painting of Tang Poem ‘The Difficult Road to Shu’

Chen, H.-C., & Chen, Z. (2023) · International Journal of Social Sciences and Artistic Innovations · doi:10.35745/ijssai2023v03.02.0001 · Cited by 12 · see citing works

Challenges and Opportunities for Responsible Prompting

de Santana, V. F. (2024) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3613905.3636268 · Cited by 12 · see citing works

Creative Blends of Visual Concepts

Sun, Z., Zhang, Z., Zhang, Y., Lü, M., Lischinski, D., Cohen‐Or, D., & Huang, H. F. (2025) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713683 · Cited by 12 · see citing works

How Do People Develop Folk Theories of Generative AI Text-to-Image Models? A Qualitative Study on How People Strive to Explain and Make Sense of GenAI

Lodovico, C. D., Torrielli, F., Di, L., & Rapp, A. (2025) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2025.2491009 · Cited by 12 · see citing works

Text2AC: A Framework for Game-Ready 2D Agent Character(AC) Generation from Natural Language

Sun, Q., Luo, Q., Ni, Y., & Mi, H. (2024) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3613905.3651049 · Cited by 11 · see citing works

Exploring the Potential of Generative AI in DIY Assistive Technology Design by Occupational Therapists

Li, M., & Aflatoony, L. (2024) · International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS) · doi:10.1145/3663548.3688506 · Cited by 11 · see citing works

The Contemporary Art of Image Search: Iterative User Intent Expansion via Vision-Language Model

Ye, Y., Zhu, Q., Xiao, S., Kang Zhang, A., & Zeng, W. (2024) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3641019 · Cited by 11 · see citing works

StyleFactory: Towards Better Style Alignment in Image Creation through Style-Strength-Based Control and Evaluation

Zhou, M., Zhang, D., You, W., Yu, Z., Wu, Y., Pan, C., Liu, H., Lao, T., & Chen, P. (2024) · ACM Symposium on User Interface Software and Technology (UIST) · doi:10.1145/3654777.3676370 · Cited by 11 · see citing works

Cultural Relevance Index: Measuring Cultural Relevance in AI-Generated Images

Elsharif, W., Agus, M., Alzubaidi, M., & She, J. P. M. (2024) · IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR) · doi:10.1109/mipr62202.2024.00071 · Cited by 9 · see citing works

Human-Guided Image Generation for Expanding Small-Scale Training Image Datasets

Chen, C., Lv, F., Guan, Y., Wang, P., Yu, S., Zhang, Y., & Tang, Z. (2025) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2025.3567053 · Cited by 9 · see citing works

POEM: Interactive Prompt Optimization for Enhancing Multimodal Reasoning of Large Language Models

He, J., Wang, X., Liu, S., Wu, G., Silva, C. T., & Qu, H. (2025) · IEEE Pacific Visualization Conference (PacificVis) · doi:10.1109/pacificvis64226.2025.00010 · Cited by 14 · see citing works

DesignManager: An Agent-Powered Copilot for Designers to Integrate AI Design Tools into Creative Workflows

You, W., Lu, Y., Ma, Z., Li, N., Zhou, M., Zhao, X., Chen, P., & Sun, L. (2025) · ACM Transactions on Graphics · doi:10.1145/3730919 · Cited by 9 · see citing works

Explainable Generative AI: A Two-Stage Review of Existing Techniques and Future Research Directions

Kumarage, P. M., & Saarela, M. (2026) · AI · doi:10.3390/ai7010031 · Cited by 11 · see citing works

A Novel Scheme for Generating Context-Aware Images Using Generative Artificial Intelligence

Kim, H., Choi, J.-H., & Choi, J. (2024) · IEEE Access · doi:10.1109/access.2024.3368871 · Cited by 9 · see citing works

A User-Friendly Framework for Generating Model-Preferred Prompts in Text-to-Image Synthesis

Hei, N., Guo, Q., Wang, Z., Wang, Y., Wang, H., & Zhang, W. (2024) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v38i3.27986 · Cited by 9 · see citing works

Construction and Application of Traffic Accident Knowledge Graph Based on LLM

Hou, Y., Shao, Y., Han, Z., & Ye, Z. (2025) · SAE technical papers on CD-ROM/SAE technical paper series · doi:10.4271/2025-01-7139 · Cited by 8 · see citing works

Understanding the Potentials and Limitations of Prompt-based Music Generative AI

Choi, Y., Moon, J., Yoo, J., & Hong, J.-H. (2025) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713762 · Cited by 8 · see citing works

Research on the Construction and Application of Earthquake Emergency Information Knowledge Graph Based on Large Language Models

Zhou, W., Huang, M., Liu, S., You, Q., & Meng, F. (2025) · IEEE Access · doi:10.1109/access.2025.3586370 · Cited by 8 · see citing works

SketchGPT: A Sketch-based Multimodal Interface for Application-Agnostic LLM Interaction

Huang, Z., Gao, C., Shan, Y., Hu, H., Li, Q., Deng, X., Ma, C., Lai, Y., Liu, Y., Tian, F., et al. (2025) · ACM Symposium on User Interface Software and Technology (UIST) · doi:10.1145/3746059.3747598 · Cited by 8 · see citing works

A Data Perspective on Enhanced Identity Preservation for Diffusion Personalization

He, X., Cao, Z., Kolkin, N., Yu, L., Wan, K., Rhodin, H., & Kalarot, R. (2025) · IEEE Winter Conference on Applications of Computer Vision · doi:10.1109/wacv61041.2025.00372 · Cited by 8 · see citing works

Investigating intelligent generation of multimodal creative stimuli in conceptual design: strategies and implications

Li, Z., Chen, P., Wu, Y., Yao, J., Zhang, H., Liu, X., & Sun, L. (2025) · Journal of Engineering Design · doi:10.1080/09544828.2025.2527517 · Cited by 7 · see citing works

Let’s Think Step by Step: Effects of Chain-of-Thought Prompt Coaching on Users’ Perceptions and Trust in Image Generative AI Tools

Chen, C., & Zhao, X. (2025) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2025.2530762 · Cited by 7 · see citing works

Responsible Prompting Recommendation: Fostering Responsible AI Practices in Prompting-Time

de Santana, V. F., Berger, S., Candello, H. C. D. S. P., Machado, T., Sanctos, C. S., Su, T., & Williams, L. (2025) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713365 · Cited by 8 · see citing works

Understanding User Perceptions and the Role of AI Image Generators in Image Creation Workflows

Han, S.-J., & Fussell, S. R. (2025) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713227 · Cited by 5 · see citing works

IEDS: Exploring an Intelli-Embodied Design Space Combining Designer, AR, and GAI to Support Industrial Conceptual Design

Zhang, H., Chen, P., Yang, J., Wu, Y., Jiang, Z., Xie, X., You, W., & Sun, L. (2025) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713528 · Cited by 7 · see citing works

Initiating the Global AI Dialogues: Laypeople Perspectives on the Future Role of genAI in Society from Nigeria, Germany and Japan

Hohendanner, M., Ullstein, C., Onyekwelu, B. A., Katirai, A., Kuribayashi, J., Babalola, O., Ema, A., & Großklags, J. (2025) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3714322 · Cited by 5 · see citing works

MentalImager: Exploring Generative Images for Assisting Support-Seekers' Self-Disclosure in Online Mental Health Communities

Zhang, H., Zhang, J., Zhou, Y., Louie, R., Kim, T., Guo, Q., Li, S., & Peng, Z. (2025) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3711031 · Cited by 6 · see citing works

GenTune: Toward Traceable Prompts to Improve Controllability of Image Refinement in Environment Design

Wang, W.-F., Lee, T.-Y., Lu, C.-T., Hsu, C., Campanyà, N. P. I., Chen, Y., Chen, M. Y., & Chen, B. (2025) · ACM Symposium on User Interface Software and Technology (UIST) · doi:10.1145/3746059.3747774 · Cited by 5 · see citing works

Content and Relation Fuzzy Mitigation Framework for Intent Perception

Zhang, W., Qi, H., Wang, S., Lin, Z., & Wang, B. (2024) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2024.3476948 · Cited by 4 · see citing works

Can LLMs Recommend More Responsible Prompts?

de Santana, V. F., Berger, S., Machado, T., Macedo, M. M. G., Sanctos, C. S., Williams, L., & WU, Z. ‐. (2025) · ACM International Conference on Intelligent User Interfaces (IUI) · doi:10.1145/3708359.3712137 · Cited by 5 · see citing works

Unlocking the Potential of Gen-AI in Business Context

Tokkozhina, U., Martins, A. L., Ferreira, J. C., Mascarenhas, M., & Correia, R. (2025) · Journal of Global Information Management · doi:10.4018/jgim.375388 · Cited by 4 · see citing works

Knowledge graph–large language model fusion approach for emergency knowledge recommendation in gas tunnels

Xu, N., Chen, X., Luo, J., An, F., Wang, L., & Li, X. (2026) · Scientific Reports · doi:10.1038/s41598-026-39204-0 · Cited by 4 · see citing works

MVPrompt: Building Music-Visual Prompts for AI Artists to Craft Music Video Mise-en-scène

Lee, C., Lee, D., & Hong, J.-H. (2025) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713876 · Cited by 3 · see citing works

How Does AI Represent Social Concepts? Examining the Visual Representation of Care in Text-to-Image Tools

Wang, Z., Fernández, N., & Vines, J. (2025) · Designing Interactive Systems Conference · doi:10.1145/3715336.3735684 · Cited by 3 · see citing works

"When I Lost It, They Dragged Me Out": How Care Encounters Empower Marginalized Young Adults' Mental Health Aspiration and Care-Seeking

Liu, J., & Zhang, Y. (2025) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3757439 · Cited by 4 · see citing works

Prompt Recommendations for AI Art

Yang, H., Wanaskar, K., Shrivastava, H., Mansahia, S., Richhariya, S., & Eirinaki, M. (2023) · IEEE International Conference on Artificial Intelligence and Knowledge Engineering (AIKE) · doi:10.1109/aike59827.2023.00017 · Cited by 3 · see citing works

An eye for AI: quantitative insights into viewer ability to identify AI-generated artworks

Cunningham, J. (2025) · Journal of Information Communication and Ethics in Society · doi:10.1108/jices-05-2025-0105 · Cited by 2 · see citing works

Script2Screen: Supporting Dialogue-Centric Scriptwriting with Interactive Audiovisual Generation

Wang, Z., Ma, J., Grinspun, E., Grossman, T., & Wang, B. K. (2026) · ACM International Conference on Intelligent User Interfaces (IUI) · doi:10.1145/3742413.3789075 · Cited by 2 · see citing works

Outline and Detail: A Semantic-Driven Framework for Layered 2D Character Generation

Sun, Q., Ni, Y., Qiao, H., Zhang, J., Yang, F., Yuan, T., Yao, Z., & Mi, H. (2025) · ACM Symposium on User Interface Software and Technology (UIST) · doi:10.1145/3746059.3747707 · Cited by 2 · see citing works

The Development of an Artificial Intelligence Artist Assistant (AIAA) Model for the Purpose of Innovative Digital Storytelling in Digital Art Education

Chujitarom, W., & Panichrutiwong, C. (2024) · TEM Journal · doi:10.18421/tem132-28 · Cited by 2 · see citing works

A Novel Scheme for Managing Multiple Context Transitions While Ensuring Consistency in Text-to-Image Generative Artificial Intelligence

Kim, H., Choi, J.-H., & Choi, J. (2024) · IEEE Access · doi:10.1109/access.2024.3476933 · Cited by 2 · see citing works

Impact of AI-generated Synthetic Media on Users’ Emotion

Joshi, J., & Jain, P. (2024) · International Journal of Computer Applications · doi:10.5120/ijca2024924159 · Cited by 2 · see citing works

Identifying Usability Challenges in Text-to-Image AI: A Comprehensive Comparison Among Mainstream Platforms

Cai, Y., Zhou, Y., Yu, X., & Kim, W. (2025) · Lecture notes in computer science · doi:10.1007/978-3-031-93508-4_12 · Cited by 2 · see citing works

Evaluating Generative AI Tools for Visual Asset Creation - An Educational Approach

Essa, A., & Lataifeh, M. (2024) · Lecture notes in networks and systems · doi:10.1007/978-3-031-65522-7_25 · Cited by 2 · see citing works

The Art of Questioning: Redefining the Value of Interrogative Communication in the Era of AIPreprint

Leaua, C., Conte, L., Leaua, G., & Demarchi, J. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4707665 · Cited by 2 · see citing works

Prompirit: Automatic Prompt Engineering Assistance for Improving AI-Generated Art Reflecting User Emotion

Kim, H., Lee, H., Pang, S., & Oh, U. (2024) · IEEE International Conference on Information Reuse and Integration (IRI) · doi:10.1109/iri62200.2024.00038 · Cited by 1 · see citing works

The Joy of Co-Painting: Creative Human-AI Collaboration for Traceable Image-Generation Workflows

Satkunarajan, J., Koch, S., & Kurzhals, K. (2025) · IEEE Pacific Visualization Conference (PacificVis) · doi:10.1109/pacificvis64226.2025.00038 · Cited by 1 · see citing works

Exploring User Experiences with Generative AI-Reconstructed Daily Photos

Yun, S., Sohn, Y., & Lim, Y.-K. (2025) · Designing Interactive Systems Conference · doi:10.1145/3715336.3735826 · Cited by 1 · see citing works

Varif.ai to Vary and Verify User-Driven Diversity in Scalable Image Generation

Michelessa, M., Ng, J., Hurter, C., & Lim, B. Y. (2025) · Designing Interactive Systems Conference · doi:10.1145/3715336.3735847 · Cited by 1 · see citing works

Exploring ChatGPT-4o-generated reflections: Alignment with professional standards in diagnostic radiography: A pilot experiment

Nabasenja, C., Chau, M. T., & Green, E. P. (2025) · Journal of medical imaging and radiation sciences · doi:10.1016/j.jmir.2025.102082 · Cited by 1 · see citing works

Simplifying Creativity with Choices: A User-Centered Comparison of Text-Based and Choices-Based Input Methods in Generative Models

Chen, Y., He, Y., Guo, B., Huang, H., & Zhang, J. (2024) · International Symposium of Chinese CHI (Chinese CHI) · doi:10.1145/3758871.3758896 · Cited by 1 · see citing works

Order Matters: Permutation-Based Prompt Optimization for Personalized Image Generation

Song, W., & Ahn, C. W. (2025) · IEEE Access · doi:10.1109/access.2025.3638839 · Cited by 1 · see citing works

Responsible Prompting Recommendation in Multi-Turn Interaction with LLMs

de Santana, V. F., Aravindan, A. V., Sanctos, C. S., Machado, T., & de Souza, L. S. (2025) · Simpósio Brasileiro de Fatores Humanos em Sistemas Computacionais (IHC) · doi:10.5753/ihc_estendido.2025.13182 · Cited by 1 · see citing works

T2VTree: User-Centered Visual Analytics for Agent-Assisted Thought-to-Video Authoring

Zheng, Z.-Y., Dong, Y., Liang, G., Li, G., Shan, G., Cheng, S., Tian, D., Zhou, J. J., & Liang, J. (2026) · IEEE Pacific Visualization Conference (PacificVis) · doi:10.1109/pacificvis68791.2026.00046 · Cited by 1 · see citing works

The Generative Fairy Tale of Scary Little Red Riding Hood

Harde, L., Jensen, L. G., von Krogh, J., Plesner, A., Sørensen, O., & Pohl, H. (2024) · ACM International Conference on Interactive Media Experiences · doi:10.1145/3639701.3656303 · Cited by 1 · see citing works

Transforming the Learning Experience: Insights on Integrating Generative AI in Higher Education

(2024) · Journal of System and Management Sciences · doi:10.33168/jsms.2024.0627

The Measurement of Artificial Intelligence (AI) Generative Accuracy via Text to Image: A Case Study of Thainess Perception of Digital Art

Chujitarom, W., & Panichrutiwong, C. (2024) · Communications in computer and information science · doi:10.1007/978-3-031-64359-0_14

A Generative Artificial Intelligence Digital Influencer Model to be a University Goodwill Ambassador

Piankarnka, V., Nilsook, P., & Wannapiroon, P. (2024) · Research, Invention, and Innovation Congress: Innovative Electricals and Electronics (RI2C) · doi:10.1109/ri2c64012.2024.10784408

At Scaled Research Opportunity Identification: The Marriage of Explicit and Parametric Knowledge

Alotaibi, N. N., Saberi, M., Bandara, M., & Chang, E. J. (2024) · IEEE International Conference on e-Business Engineering (ICEBE) · doi:10.1109/icebe62490.2024.00038

A Novel Data Synthesis Method by Integration of Diffusion Model and GAN for Object Detection Task

Xie, J., Li, A., Mizuno, R., Nakamura, K., Fukushima, Y., & Nakamura, I. (2025) · Communications in computer and information science · doi:10.1007/978-981-96-6688-1_5

Prompirit: Automatic Prompt Engineering Assistance for Improving AI-Generated Art Reflecting User Emotion

Kim, H., Lee, H., Pang, S., & Oh, U. (2024) · IEEE International Conference on Information Reuse and Integration (IRI) · doi:10.1109/iri62200.2024.00038 · Cited by 1 · see citing works

EPIG: Emotion-Based Prompting for Personalised Image GenerationPreprint

Othmen, E., Landolsi, M. Y., & Romdhane, L. B. (2026) · arXiv (Cornell University) · doi:10.48550/arxiv.2606.13247

A Prompt Engineering Method for Generating Emotional Images for Psychological Research

Lu, Y., Hu, X., & Zhang, D. (2025) · Affective Science · doi:10.1007/s42761-025-00315-y · Cited by 5 · see citing works

Beyond Emotion Prompts: Fine-Grained Text-to-Image Generation Driven by Valence-Arousal-DominancePreprint

Li, M., Fang, Y., & Gao, X. (2026) · arXiv (Cornell University) · doi:10.48550/arxiv.2609.24215

A Portrait of Emotion: Empowering Self-Expression through AI-Generated ArtPreprint

Lee, Y. K., Park, Y.-H., & Hahn, S. (2023) · arXiv (Cornell University) · doi:10.48550/arxiv.2304.13324 · Cited by 8 · see citing works