Abstract

Artificial Intelligence (AI) generative technologies are increasingly reshaping the event and exhibition design industry by enhancing creativity, operational efficiency, and personalised engagement experiences. This study investigates the current state of generative design (GD) tools and AI platforms and analyses their use in the early stages of event planning, including ideation, layout generation and content automation. While these technologies can bring significant benefits, such as accelerated design cycles and improved collaboration between stakeholders, challenges remain in terms of human creativity. To address these issues, this study proposes a collaborative framework for the phased adoption of AI, a need to augment human expertise rather than replacing it. The study further outlines a future work plan that includes prototyping and internal testing within the event and exhibition company, followed by engagement with a wider range of stakeholders to refine the platform's functionality and usability. This iterative approach aims to ensure continuous improvement and adaptation in the rapidly evolving event technology landscape. The findings help to establish a fundamental understanding to support the responsible integration of generative AI in event design, fostering innovation whilst maintaining ethical standards and stakeholder engagement.

Keywords

Generative Design; Artificial Intelligence (AI); Event and Exhibition Design; User Experience; Design Process

Creative Commons License

Creative Commons Attribution-NonCommercial 4.0 International License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Conference Track

Track 4 - Human-Centered AI

Share

COinS
 
Dec 2nd, 9:00 AM Dec 5th, 5:00 PM

Creative Frontiers: The Role of Generative AI in Transforming Event and Exhibition Design

Artificial Intelligence (AI) generative technologies are increasingly reshaping the event and exhibition design industry by enhancing creativity, operational efficiency, and personalised engagement experiences. This study investigates the current state of generative design (GD) tools and AI platforms and analyses their use in the early stages of event planning, including ideation, layout generation and content automation. While these technologies can bring significant benefits, such as accelerated design cycles and improved collaboration between stakeholders, challenges remain in terms of human creativity. To address these issues, this study proposes a collaborative framework for the phased adoption of AI, a need to augment human expertise rather than replacing it. The study further outlines a future work plan that includes prototyping and internal testing within the event and exhibition company, followed by engagement with a wider range of stakeholders to refine the platform's functionality and usability. This iterative approach aims to ensure continuous improvement and adaptation in the rapidly evolving event technology landscape. The findings help to establish a fundamental understanding to support the responsible integration of generative AI in event design, fostering innovation whilst maintaining ethical standards and stakeholder engagement.

 

To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.