mlsanityData to 14 Oct 2026

ACAI for SBOs: AI Co-creation for Advertising and Inspiration for Small Business Owners

arXiv 2503.06729 ↗First posted 9 Mar 2025cs.HC cs.AI cs.CYcited by 2

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Abstract (arXiv)

Small business owners (SBOs) often lack the resources and design experience needed to produce high-quality advertisements. To address this, we developed ACAI (AI Co-Creation for Advertising and Inspiration), an GenAI-powered multimodal advertisement creation tool, and conducted a user study with 16 SBOs in London to explore their perceptions of and interactions with ACAI in advertisement creation. Our findings reveal that structured inputs enhance user agency and control while improving AI outputs by facilitating better brand alignment, enhancing AI transparency, and offering scaffolding that assists novice designers, such as SBOs, in formulating prompts. We also found that ACAI's multimodal interface bridges the design skill gap for SBOs with a clear advertisement vision, but who lack the design jargon necessary for effective prompting. Building on our findings, we propose three capabilities: contextual intelligence, adaptive interactions, and data management, with corresponding design recommendations to advance the co-creative attributes of AI-mediated design tools.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 29 of its 66 references that are in the map. First posted on arXiv 9 Mar 2025.

Builds on

29 of 66 references.

References · 29

  1. 2023A General Theoretical Paradigm to Understand Learning from Human Preferencescited by 912
  2. 2023MemoryBank: Enhancing Large Language Models with Long-Term Memorycited by 556
  3. 2021Design Guidelines for Prompt Engineering Text-to-Image Generative Modelscited by 218
  4. 2022Co-Writing Screenplays and Theatre Scripts with Language Models: An Evaluation by Industry Professionalscited by 191
  5. 2023Art or Artifice? Large Language Models and the False Promise of Creativitycited by 172
  6. 2023Bridging the Gulf of Envisioning: Cognitive Design Challenges in LLM Interfacescited by 72
  7. 2023Large Language Models are Competitive Near Cold-start Recommenders for Language- and Item-based Preferencescited by 66
  8. 2024PromptCharm: Text-to-Image Generation through Multi-modal Prompting and Refinementcited by 62
  9. 2023Talkin' 'Bout AI Generation: Copyright and the Generative-AI Supply Chaincited by 46
  10. 2024"We Need Structured Output": Towards User-centered Constraints on Large Language Model Outputcited by 46
  11. 2024LLM-PBE: Assessing Data Privacy in Large Language Modelscited by 41
  12. 2024The Effects of Generative AI on Design Fixation and Divergent Thinkingcited by 37
17 more
  1. 2024The Value, Benefits, and Concerns of Generative AI-Powered Assistance in Writingcited by 37
  2. 2023PromptPaint: Steering Text-to-Image Generation Through Paint Medium-like Interactionscited by 34
  3. 2024"My agent understands me better": Integrating Dynamic Human-like Memory Recall and Consolidation in LLM-Based Agentscited by 29
  4. 2024A Robot Walks into a Bar: Can Language Models Serve as Creativity Support Tools for Comedy? An Evaluation of LLMs' Humour Alignment with Comedianscited by 29
  5. 2022On Natural Language User Profiles for Transparent and Scrutable Recommendationcited by 23
  6. 2023The AI Ghostwriter Effect: When Users Do Not Perceive Ownership of AI-Generated Text But Self-Declare as Authorscited by 22
  7. 2024Understanding Nonlinear Collaboration between Human and AI Agents: A Co-design Framework for Creative Designcited by 22
  8. 2024Double-I Watermark: Protecting Model Copyright for LLM Fine-tuningcited by 21
  9. 2023Designing Participatory AI: Creative Professionals' Worries and Expectations about Generative AIcited by 20
  10. 2024"If the Machine Is As Good As Me, Then What Use Am I?" -- How the Use of ChatGPT Changes Young Professionals' Perception of Productivity and Accomplishmentcited by 19
  11. 2023Beyond ChatBots: ExploreLLM for Structured Thoughts and Personalized Model Responsescited by 18
  12. 2024Generative AI in the Wild: Prospects, Challenges, and Strategiescited by 10
  13. 2023Privacy and Copyright Protection in Generative AI: A Lifecycle Perspectivecited by 6
  14. 2022Identifying Ethical Issues in AI Partners in Human-AI Co-Creationcited by 5
  15. 2024Deconstructing the Veneer of Simplicity: Co-Designing Introductory Generative AI Workshops with Local Entrepreneurscited by 4
  16. 2023The role of interface design on prompt-mediated creativity in Generative AIcited by 3
  17. 2024A Preliminary Exploration of YouTubers' Use of Generative-AI in Content Creationcited by 3

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 1; 2026: 1.

2 papers.