mlsanityData to 7 Oct 2026

Design Principles for Generative AI Applications

arXiv 2401.14484 ↗First posted 25 Jan 2024cs.HC cs.AIcited by 57

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Abstract (arXiv)

Generative AI applications present unique design challenges. As generative AI technologies are increasingly being incorporated into mainstream applications, there is an urgent need for guidance on how to design user experiences that foster effective and safe use. We present six principles for the design of generative AI applications that address unique characteristics of generative AI UX and offer new interpretations and extensions of known issues in the design of AI applications. Each principle is coupled with a set of design strategies for implementing that principle via UX capabilities or through the design process. The principles and strategies were developed through an iterative process involving literature review, feedback from design practitioners, validation against real-world generative AI applications, and incorporation into the design process of two generative AI applications. We anticipate the principles to usefully inform the design of generative AI applications by driving actionable design recommendations.

Key facts. Cited by 57 papers in the map (data through 7 Oct 2026). Builds on 50 of its 192 references that are in the map. First posted on arXiv 25 Jan 2024.

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50 of 192 references.

References · 50

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38 more
  1. 2022Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language modelscited by 1,970
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  4. 2023BeaverTails: Towards Improved Safety Alignment of LLM via a Human-Preference Datasetcited by 828
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  17. 2023The effectiveness of MAE pre-pretraining for billion-scale pretrainingcited by 68
  18. 2023Parameter-Efficient Fine-Tuning Design Spacescited by 67
  19. 2023Typology of Risks of Generative Text-to-Image Modelscited by 55
  20. 2023Uncurated Image-Text Datasets: Shedding Light on Demographic Biascited by 51
  21. 2023Nationality Bias in Text Generationcited by 50
  22. 2022How Different Groups Prioritize Ethical Values for Responsible AIcited by 49
  23. 2022Investigating Explainability of Generative AI for Code through Scenario-based Designcited by 47
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  25. 2022Exploring How Machine Learning Practitioners (Try To) Use Fairness Toolkitscited by 33
  26. 2023From Text to MITRE Techniques: Exploring the Malicious Use of Large Language Models for Generating Cyber Attack Payloadscited by 31
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  28. 2023Investigating How Practitioners Use Human-AI Guidelines: A Case Study on the People + AI Guidebookcited by 21
  29. 2023Designing Participatory AI: Creative Professionals' Worries and Expectations about Generative AIcited by 20
  30. 2023How Generative AI models such as ChatGPT can be (Mis)Used in SPC Practice, Education, and Research? An Exploratory Studycited by 16
  31. 2023Exploring Challenges and Opportunities to Support Designers in Learning to Co-create with AI-based Manufacturing Design Toolscited by 16
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  37. 2023How Do UX Practitioners Communicate AI as a Design Material? Artifacts, Conceptions, and Propositionscited by 6
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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 13; 2025: 28; 2026: 16.

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  1. 2025LLMs Get Lost In Multi-Turn Conversationcited by 400
  2. 2024PromptCharm: Text-to-Image Generation through Multi-modal Prompting and Refinementcited by 61
  3. 2024How Far Are We From AGI: Are LLMs All We Need?cited by 31
  4. 2025IRIS: Interactive Research Ideation System for Accelerating Scientific Discoverycited by 16
  5. 2025LLM Agent Meets Agentic AI: Can LLM Agents Simulate Customers to Evaluate Agentic-AI-based Shopping Assistants?cited by 15
  6. 2025Which Contributions Deserve Credit? Perceptions of Attribution in Human-AI Co-Creationcited by 13
  7. 2025AI Chatbots for Mental Health: Values and Harms from Lived Experiences of Depressioncited by 13
  8. 2024Establishing and Evaluating Trustworthy AI: Overview and Research Challengescited by 12
  9. 2025Generative AI in Knowledge Work: Design Implications for Data Navigation and Decision-Makingcited by 9
  10. 2025Measuring and mitigating overreliance to build human-compatible AIcited by 9
  11. 2025The Impact of Generative AI Coding Assistants on Developers Who Are Visually Impairedcited by 7
  12. 2025CAIM: Development and Evaluation of a Cognitive AI Memory Framework for Long-Term Interaction with Intelligent Agentscited by 7
38 more
  1. 2026Industrialized Deception: The Collateral Effects of LLM-Generated Misinformation on Digital Ecosystemscited by 7
  2. 2026Mapping the Design Space of User Experience for Computer Use Agentscited by 7
  3. 2025Surfacing Variations to Calibrate Perceived Reliability of MLLM-generated Image Descriptionscited by 6
  4. 2025When Should Users Check? Modeling Confirmation Frequency in Multi-Step Agentic AI Taskscited by 6
  5. 2024TwIPS: A Large Language Model Powered Texting Application to Simplify Conversational Nuances for Autistic Userscited by 5
  6. 2025Co-designing Large Language Model Tools for Project-Based Learning with K12 Educatorscited by 5
  7. 2024Taming Text-to-Image Synthesis for Novices: User-centric Prompt Generation via Multi-turn Guidancecited by 4
  8. 2026Agentic Design Patterns: A System-Theoretic Frameworkcited by 4
  9. 2024A Preliminary Exploration of YouTubers' Use of Generative-AI in Content Creationcited by 3
  10. 2024Survey for Landing Generative AI in Social and E-commerce Recsys -- the Industry Perspectivescited by 3
  11. 2024Model-in-the-Loop (MILO): Accelerating Multimodal AI Data Annotation with LLMscited by 3
  12. 2024Survey of User Interface Design and Interaction Techniques in Generative AI Applicationscited by 3
  13. 2025GraphicBench: A Planning Benchmark for Graphic Design with Language Agentscited by 3
  14. 2026Augmenting Interface Usability Heuristics for Reliable Computer-Use Agentscited by 3
  15. 2024On the Reliability of Large Language Models to Misinformed and Demographically-Informed Promptscited by 2
  16. 2025Reimagining Personal Data: Unlocking the Potential of AI-Generated Images in Personal Data Meaning-Makingcited by 2
  17. 2025Towards deployment-centric multimodal AI beyond vision and languagecited by 2
  18. 2025Exploring Collaborative GenAI Agents in Synchronous Group Settings: Eliciting Team Perceptions and Design Considerations for the Future of Workcited by 2
  19. 2025Reflexive Prompt Engineering: A Framework for Responsible Prompt Engineering and Interaction Designcited by 2
  20. 2025Let's Get You Hired: A Job Seeker's Perspective on Multi-Agent Recruitment Systems for Explaining Hiring Decisionscited by 2
  21. 2025Taxonomy of migration scenarios for Qiskit refactoring using LLMscited by 2
  22. 2025The AI Memory Gap: Users Misremember What They Created With AI or Withoutcited by 2
  23. 2025Understanding User Experiences of Computer Use Agents: Design Space and Opportunities for Building Agent UX Prototypescited by 2
  24. 2024Ethics Whitepaper: Whitepaper on Ethical Research into Large Language Modelscited by 1
  25. 2024Generative AI in Medicinecited by 1
  26. 2025"Impressively Scary:" Exploring User Perceptions and Reactions to Unraveling Machine Learning Models in Social Media Applicationscited by 1
  27. 2025GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspectivecited by 1
  28. 2026A Checklist for Trustworthy, Safe, and User-Friendly Mental Health Chatbotscited by 1
  29. 2024Generative Artificial Intelligence-Guided User Studies: An Application for Air Taxi Servicescited by 0
  30. 2025A Human-Centered Approach to Identifying Promises, Risks, & Challenges of Text-to-Image Generative AI in Radiologycited by 0
  31. 2025Agency Among Agents: Designing with Hypertextual Friction in the Algorithmic Webcited by 0
  32. 2025"She was useful, but a bit too optimistic": Augmenting Design with Interactive Virtual Personascited by 0
  33. 2025What Do You Mean? Exploring How Humans and AI Interact with Symbols and Meanings in Their Interactionscited by 0
  34. 2025Exploring Human-AI Collaboration Using Mental Models of Early Adopters of Multi-Agent Generative AI Toolscited by 0
  35. 2026Creating Disability Story Videos with Generative AI: Motivation, Expression, and Sharingcited by 0
  36. 2026The Perfection Paradox: From Architect to Curator in AI-Assisted API Designcited by 0
  37. 2026From Prompts to Worlds: How Users Iterate, Explore, and Make Sense of AI-Generated 3D Environmentscited by 0
  38. 2026Beyond Descriptions: A Generative Scene2Audio Framework for Blind and Low-Vision Users to Experience Vista Landscapescited by 0

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