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When I started my pilot study, I mainly wanted to find out whether my survey worked well. I expected to make a few small changes before starting the main study, but I didn't expect the pilot study to change the way I think about my research. But if I am honest, I feel that it did much more than test my questionnaire. It gave me new ideas, new questions and a much clearer direction for the next step of my project. One thing I learned very quickly is that research rarely gives

Once I had analysed the overall results, I became curious about the individual images. The average recognition rate already showed that identifying AI-generated images is difficult, but I wanted to understand what was behind those numbers. Which images confused people the most? Which ones were recognised more easily? Looking at each image one by one turned out to be one of the most interesting parts of the whole project. As I mentioned in my previous blog post, authentic phot

Seeing the first responses come in was a really exciting moment. After spending so much time planning the survey, choosing the images and creating the questionnaire, I was finally able to look at the data. I was curious to find out whether people could actually tell the difference between authentic, AI-edited and fully AI-generated images. Even more importantly, I wanted to understand where people struggled and whether any interesting patterns would appear. In total, 14 peopl

To the survey: https://docs.google.com/forms/d/e/1FAIpQLSfujaTdkiyrwagGO4Cv_JjGQ_IIWt9v4tO54aVBSiF7J6a_pw/viewform?usp=header After finishing the questionnaire, I thought the hardest part was behind me. I was wrong. The next step, choosing the images for the survey, turned out to be just as challenging. At first, I simply started collecting images that I thought would fit my study. But after a while, I realised that this approach would not work. Every image I included could i

To the survey: https://docs.google.com/forms/d/e/1FAIpQLSfujaTdkiyrwagGO4Cv_JjGQ_IIWt9v4tO54aVBSiF7J6a_pw/viewform?usp=header In my last blog post, I wrote about the process of designing my survey and how a small pre-test helped me improve the instructions. After making these changes, I finally felt ready to share the questionnaire with participants. The survey starts with a short introduction. I explain the purpose of my research and introduce the three image categories that

Over the past week, I have been working on the survey for my master's project. At first, I thought creating the questionnaire would be one of the easier parts of my research. I already knew what I wanted to investigate, so I assumed I only had to write a few questions and choose some images. However, I quickly realised that designing a good survey is much more complicated than it seems. My research is about whether people can tell the difference between authentic photographs,

In my previous blog post, I introduced the topic I will be exploring this semester and discussed the growing difficulty of distinguishing between authentic and AI-generated images. One question kept coming up during my research: are people really able to tell the difference? Many people seem confident that they can spot an AI-generated image immediately. Common clues that are often mentioned include unrealistic hands, strange facial features, or unusual details in the backgro

Welcome to the first blog post on this page! Here, I'll share insights into what I'm exploring throughout my master's studies in Communication Design, as well as the projects, research, and ideas I'm currently working on or curious about. I hope these posts will give you a glimpse into my creative process and the questions that inspire my work. Every day, we are surrounded by images. Whether we are scrolling through social media, reading the news, or simply browsing the inter