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

• URL: http://arxiv.org/abs/2503.06729v1
• Date: Sun, 09 Mar 2025 19:00:36 GMT
• Title: ACAI for SBOs: AI Co-creation for Advertising and Inspiration for Small Business Owners
• Authors: Nimisha Karnatak, Adrien Baranes, Rob Marchant, Triona Butler, Kristen Olson,
• Abstract summary: Small business owners (SBOs) often lack the resources and design experience needed to produce high-quality advertisements.<n>We developed ACAI (AI Co-Creation for Advertising and Inspiration), an GenAI-powered multimodal advertisement creation tool.<n>We conducted a user study with 16 SBOs in London to explore their perceptions of and interactions with ACAI in advertisement creation.
• Score: 1.114004309769802
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: 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.

Related papers

• Expanding the Generative AI Design Space through Structured Prompting and Multimodal Interfaces [1.051328497890725]
  ACAI (AI Co-Creation for Advertising and Inspiration) is a multimodal generative AI tool designed to support novice designers by moving beyond traditional prompt interfaces. This work contributes to HCI research on generative systems by showing how structured interfaces can foreground user-defined context, improve alignment, and enhance co-creative control in novice creative.
  arXiv  Detail & Related papers  (2025-04-19T14:57:32Z)
• Improving User Experience with FAICO: Towards a Framework for AI Communication in Human-AI Co-Creativity [2.3020018305241337]
  This paper introduces our initial design of a Framework for designing AI Communication (FAICO) for co-creative AI. FAICO presents key aspects of AI communication and their impacts on user experience to guide the design of effective AI communication. We show actionable ways to translate our framework into two practical tools: design cards for designers and a configuration tool for users.
  arXiv  Detail & Related papers  (2025-04-03T12:29:53Z)
• AI Automatons: AI Systems Intended to Imitate Humans [54.19152688545896]
  There is a growing proliferation of AI systems designed to mimic people's behavior, work, abilities, likenesses, or humanness.<n>The research, design, deployment, and availability of such AI systems have prompted growing concerns about a wide range of possible legal, ethical, and other social impacts.
  arXiv  Detail & Related papers  (2025-03-04T03:55:38Z)
• Intelligent Mobile AI-Generated Content Services via Interactive Prompt Engineering and Dynamic Service Provisioning [55.641299901038316]
  AI-generated content can organize collaborative Mobile AIGC Service Providers (MASPs) at network edges to provide ubiquitous and customized content for resource-constrained users.<n>Such a paradigm faces two significant challenges: 1) raw prompts often lead to poor generation quality due to users' lack of experience with specific AIGC models, and 2) static service provisioning fails to efficiently utilize computational and communication resources.<n>We develop an interactive prompt engineering mechanism that leverages a Large Language Model (LLM) to generate customized prompt corpora and employs Inverse Reinforcement Learning (IRL) for policy imitation.
  arXiv  Detail & Related papers  (2025-02-17T03:05:20Z)
• Creativity in the Age of AI: Evaluating the Impact of Generative AI on Design Outputs and Designers' Creative Thinking [19.713133349166778]
  We asked participants to design advertisements both with and without GenAI support. Expert evaluators rated GenAI-supported designs as more creative and unconventional "weird" Native English speakers experienced reduced relaxation when using AI, whereas designers new to GenAI exhibited gains in divergent thinking.
  arXiv  Detail & Related papers  (2024-10-31T19:23:34Z)
• Designing AI Personalities: Enhancing Human-Agent Interaction Through Thoughtful Persona Design [7.610735476681428]
  This workshop aims to establish a research community focused on AI agent persona design for various contexts. We will explore critical aspects of persona design, such as voice, embodiment, and demographics, and their impact on user satisfaction and engagement. Topics include the design of conversational interfaces, the influence of agent personas on user experience, and approaches for creating contextually appropriate AI agents.
  arXiv  Detail & Related papers  (2024-10-30T06:58:59Z)
• Survey of User Interface Design and Interaction Techniques in Generative AI Applications [79.55963742878684]
  We aim to create a compendium of different user-interaction patterns that can be used as a reference for designers and developers alike. We also strive to lower the entry barrier for those attempting to learn more about the design of generative AI applications.
  arXiv  Detail & Related papers  (2024-10-28T23:10:06Z)
• Rapid Mobile App Development for Generative AI Agents on MIT App Inventor [12.091916451641021]
  We present a methodology for the rapid development of AI agent applications using the development platform provided by MIT App Inventor. We share the development journey of three distinct mobile applications: SynchroNet for fostering sustainable communities; ProductiviTeams for addressing procrastination; and iHELP for enhancing community safety.
  arXiv  Detail & Related papers  (2024-04-01T02:35:19Z)
• XAI for All: Can Large Language Models Simplify Explainable AI? [0.0699049312989311]
  "x-[plAIn]" is a new approach to make XAI more accessible to a wider audience through a custom Large Language Model. Our goal was to design a model that can generate clear, concise summaries of various XAI methods. Results from our use-case studies show that our model is effective in providing easy-to-understand, audience-specific explanations.
  arXiv  Detail & Related papers  (2024-01-23T21:47:12Z)
• Seamful XAI: Operationalizing Seamful Design in Explainable AI [59.89011292395202]
  Mistakes in AI systems are inevitable, arising from both technical limitations and sociotechnical gaps. We propose that seamful design can foster AI explainability by revealing sociotechnical and infrastructural mismatches. We explore this process with 43 AI practitioners and real end-users.
  arXiv  Detail & Related papers  (2022-11-12T21:54:05Z)
• A User-Centred Framework for Explainable Artificial Intelligence in Human-Robot Interaction [70.11080854486953]
  We propose a user-centred framework for XAI that focuses on its social-interactive aspect. The framework aims to provide a structure for interactive XAI solutions thought for non-expert users.
  arXiv  Detail & Related papers  (2021-09-27T09:56:23Z)
• Building Bridges: Generative Artworks to Explore AI Ethics [56.058588908294446]
  In recent years, there has been an increased emphasis on understanding and mitigating adverse impacts of artificial intelligence (AI) technologies on society. A significant challenge in the design of ethical AI systems is that there are multiple stakeholders in the AI pipeline, each with their own set of constraints and interests. This position paper outlines some potential ways in which generative artworks can play this role by serving as accessible and powerful educational tools.
  arXiv  Detail & Related papers  (2021-06-25T22:31:55Z)
• Artificial Intelligence in the Creative Industries: A Review [2.657505380055164]
  This paper reviews the current state of the art in Artificial Intelligence (AI) technologies and applications in the context of the creative industries. We categorise creative applications into five groups related to how AI technologies are used. We examine the successes and limitations of this rapidly advancing technology in each of these areas.
  arXiv  Detail & Related papers  (2020-07-24T07:29:52Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.