Final Project Blog Morc Dominik s2443157

AI-Powered research Initiating the research with ChatGPT to pinpoint key areas, I found that the results mainly mirrored insights I'd already gleaned during the initial client communication—covering company background, target audience, competitors, and client-requested design trends.    Having said that, Albus , a ChatGPT-powered tool, proved more useful as it generated topics related to the provided input; for instance, when given the term 'space food', it produced insights on consumption patterns and nutritional requirements. While it couldn't fully replace manual research, it did highlight additional areas of inquiry. While exploring AI tools for business research, I noticed a dominance of data-driven applications tailored more for marketing teams, especially given their steep subscription costs. Experimenting with online browsing tools like Bing (Microsoft, 2023) and the WebPilot plugin (WebPilot Inc., 2023) for ChatGPT, the findings were often broad and...

Briefing stage First, a simulated scenario was created by employing CharacterAI (Character AI, 2022), a neural language model chatbot service, to create a virtual client. This AI persona, designed to simulate a UK-based business owner, facilitated an emulated client-designer interaction, with the AI client seeking graphic design services for a hypothetical company with the prompt:   'Imagine you are a UK-based business owner in need of graphic design services. Your mission is to fill my questionnare, and create a unique and innovative graphic design brief for a fictional company you will invent. The objective is to guide me, the designer, in bringing your vision to life. The brief should be as specific and detailed as possible, following the questionnare / guidelines listed below, but also leave room for designer to apply their creative expertise – balance is key. Please try to be really creative and original as possible within the framework of the guidelines' The...

AI in Graphic Design - Use Case Studies  1.      1 - AI design | new tech is changing experience creation | blooloop Background: Creative Principals, a family-owned experience design firm, led by Geoff & Zoe Thatcher, embarked on a journey to explore the potential of AI tools in the field of experience design. Their focus was on theme parks, museums, and other attractions. Objective: The objective was to understand how AI could enable more personalized, creative, and engaging ways to design attractions. They aimed to leverage AI tools to enhance their design process and improve the overall quality of their work. Approach: The team started using Jasper, an AI tool powered by OpenAI's GPT-3.5, to generate content for their articles. They also began working with JRA – part of RWS Entertainment Group on the H2.O Purification Center in Jacksonville, Florida. For which they used Jasper to generate a video script about ...

AI in Graphic Design Literature Review In the budding realm of AI's role in graphic design, there's still a lot to explore and not many have put pen to paper about it. Yet, with a bit of digging, I managed to uncover a few research papers that touch on the topic or offer related insights, highlighting the growing curiosity in this blend of tech and creativity.   1 - The Impact of Artificial Intelligence on Graphic Design: Exploring the Challenges and Possibilities of AI-Driven Autonomous Branding | SpringerLink   The paper by Engawi, Gere, and Richards (2022) presents a comprehensive investigation into the transformative impact of artificial intelligence (AI) on the graphic design industry, focusing on AI's potential to disrupt traditional design methods and the implications for graphic designers. The authors argue that the rapid technological growth, particularly the advancement in AI, algorithms, and data-driven designs, has significantly change...

The Techniques behind AI in Graphic Design At the core of AI's impact on graphic design are various techniques that have found diverse applications in the design process: Machine Learning: Rooted in the idea that systems can autonomously learn from data, machine learning is revolutionising tasks like image recognition and palette creation, freeing designers from routine chores. Deep Learning: A progression of machine learning, deep learning employs neural networks, emulating the human brain's structure, to push the boundaries in areas like text generation and music composition. Generative Adversarial Networks (GANs): These have the unique capability to generate content, such as design elements, by learning from a dataset. Reinforcement Learning: By learning from feedback, this technique can inform design decisions based on real-world interactions. Transfer Learning: Allows an AI model trained for one task to pivot and apply its knowledge to a related task, providing versat...

Graphic Design Brief Crafting a comprehensive graphic design brief is essential to ensure a successful and aligned collaboration between the client and the designer. Within this document, numerous key elements come into play to establish a clear understanding of the project objectives, target audience, design preferences, and other vital details.  Most important elements to consider in a graphic design brief:  Background Information: This section should provide detailed information about the company, product, or service that the design is for. This could include company history, what the product/service does, its unique selling points, its current positioning in the market, and any relevant background information that could help the designer understand the context. Project Overview: This is a high-level summary of the project. It should explain what the project is, why it is being undertaken, its purpose, what the finished product should look like, and what it aims to ac...