mlsanityData to 14 Oct 2026

PosterMate: Audience-driven Collaborative Persona Agents for Poster Design

arXiv 2507.18572 ↗First posted 24 Jul 2025cs.HC cs.AI cs.CLcited by 9

Not on the map. Why?

Abstract (arXiv)

Poster designing can benefit from synchronous feedback from target audiences. However, gathering audiences with diverse perspectives and reconciling them on design edits can be challenging. Recent generative AI models present opportunities to simulate human-like interactions, but it is unclear how they may be used for feedback processes in design. We introduce PosterMate, a poster design assistant that facilitates collaboration by creating audience-driven persona agents constructed from marketing documents. PosterMate gathers feedback from each persona agent regarding poster components, and stimulates discussion with the help of a moderator to reach a conclusion. These agreed-upon edits can then be directly integrated into the poster design. Through our user study (N=12), we identified the potential of PosterMate to capture overlooked viewpoints, while serving as an effective prototyping tool. Additionally, our controlled online evaluation (N=100) revealed that the feedback from an individual persona agent is appropriate given its persona identity, and the discussion effectively synthesizes the different persona agents' perspectives.

Key facts. Cited by 9 papers in the map (data through 14 Oct 2026). Builds on 21 of its 70 references that are in the map. First posted on arXiv 24 Jul 2025.

Builds on

21 of 70 references.

References · 21

  1. 2020An Image is Worth 16x16 Words: Transformers for Image Recognition at Scalecited by 30,186
  2. 2022Chain-of-Thought Prompting Elicits Reasoning in Large Language Modelscited by 12,459
  3. 2023Generative Agents: Interactive Simulacra of Human Behaviorcited by 3,568
  4. 2023ChatDev: Communicative Agents for Software Developmentcited by 919
  5. 2022Social Simulacra: Creating Populated Prototypes for Social Computing Systemscited by 301
  6. 2022CoAuthor: Designing a Human-AI Collaborative Writing Dataset for Exploring Language Model Capabilitiescited by 249
  7. 2020Attribute-conditioned Layout GAN for Automatic Graphic Designcited by 68
  8. 2022Large-scale Text-to-Image Generation Models for Visual Artists' Creative Workscited by 61
  9. 2023AutoPoster: A Highly Automatic and Content-aware Design System for Advertising Poster Generationcited by 41
  10. 2023Relation-Aware Diffusion Model for Controllable Poster Layout Generationcited by 37
  11. 2024The Effects of Generative AI on Design Fixation and Divergent Thinkingcited by 37
  12. 2023DirectGPT: A Direct Manipulation Interface to Interact with Large Language Modelscited by 32
9 more
  1. 2024Leveraging LLM Reasoning Enhances Personalized Recommender Systemscited by 28
  2. 2024Can We Further Elicit Reasoning in LLMs? Critic-Guided Planning with Retrieval-Augmentation for Solving Challenging Taskscited by 22
  3. 2024CloChat: Understanding How People Customize, Interact, and Experience Personas in Large Language Modelscited by 19
  4. 2024CHOPS: CHat with custOmer Profile Systems for Customer Service with LLMscited by 17
  5. 2024From Paper to Card: Transforming Design Implications with Generative AIcited by 6
  6. 2024AI-Assisted Causal Pathway Diagram for Human-Centered Designcited by 4
  7. 2024Epigraphics: Message-Driven Infographics Authoringcited by 4
  8. 2023Understanding Collaborative Practices and Tools of Professional UX Practitioners in Software Organizationscited by 3
  9. 2020Distributed Synchronous Visualization Design: Challenges and Strategiescited by 1

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 1; 2026: 8.

9 papers.

  1. 2026Quantifying Trust: Financial Risk Management for Trustworthy AI Agentscited by 8
  2. 2026How Well Do Large Language Models Capture Human Personality?cited by 2
  3. 2025AnimAgents: Coordinating Multi-Stage Animation Pre-Production with Human-Multi-Agent Collaborationcited by 1
  4. 2026More Isn't Always Better: Balancing Decision Accuracy and Conformity Pressures in Multi-AI Advicecited by 1
  5. 2026Beyond Chat and Clicks: GUI Agents for In-Situ Assistance via Live Interface Transformationcited by 0
  6. 2026SenseWalk: Agent-Based Semantic Trajectory Simulation Powered by Large Language Models in Zoned Environmentscited by 0
  7. 2026ArtAnno: Annotating Implicit Semantics in Artworks through LLM Agent-Driven Bidirectional Human-AI Augmentationcited by 0
  8. 2026From Style Replication to Style Exploration: Enabling Art Style Exploration with Analyze-Experiment-Resituate Frameworkcited by 0
  9. 2026MOONWALK: Mediating Operations with Intent-Evidence-Action Alignment Across Junior-Supervisor Review Workflows in Animation/VFX Pre-Productioncited by 0