
From Festival, Through Data, To Memories - Iteration 1
Description
Course: Final Bachelor Project
Period: Feb 2025 – Jun 2025
Coaching: Mathias Funk
Project Goal:
This project explores a passive data-driven alternative to active self-documentation at music festivals. Research showed that ubiquitous phone usage has a disruptive impact festival immersion. This undermines the core value of festivals: delivering engaging multisensory experiences to spark a sense of community and escapism. Therefore, I proposed to collect individual data using non-intrusive sensors during a festival and use this data to create tangible personalized mementos as a souvenir. This enables visitors to capture, share, and remember their experiences without diverting attention from the performance because of phone usage.
Process:
Trough literature research, I identified sharing experiences with others and revisiting memories as the main motivations behind active self-documentation on festivals. To succeed, I required the alternative to accomplish the same purposes. I decided to identify types of data that could passively capture meaningful aspects of the experience outside of photo and video. I landed at using an accelerometer, a GPS and a microphone. Then, trough iterative prompt engineering, I explored the novel use of generative AI to create organic 3D printable models based on the acquired data incorporated in the prompt. This resulted in abstract artefacts meant to be interpreted as holistic representations of the festival experience. By using these memory evoking artefacts as a storytelling tool and for personal reminiscence, the requirements were met.



From Festival, Through Data, To Memories - Iteration 1
Description
Course: Final Bachelor Project
Period: Feb 2025 – Jun 2025
Coaching: Mathias Funk
Project Goal:
This project explores a passive data-driven alternative to active self-documentation at music festivals. Research showed that ubiquitous phone usage has a disruptive impact festival immersion. This undermines the core value of festivals: delivering engaging multisensory experiences to spark a sense of community and escapism. Therefore, I proposed to collect individual data using non-intrusive sensors during a festival and use this data to create tangible personalized mementos as a souvenir. This enables visitors to capture, share, and remember their experiences without diverting attention from the performance because of phone usage.
Process:
Trough literature research, I identified sharing experiences with others and revisiting memories as the main motivations behind active self-documentation on festivals. To succeed, I required the alternative to accomplish the same purposes. I decided to identify types of data that could passively capture meaningful aspects of the experience outside of photo and video. I landed at using an accelerometer, a GPS and a microphone. Then, trough iterative prompt engineering, I explored the novel use of generative AI to create organic 3D printable models based on the acquired data incorporated in the prompt. This resulted in abstract artefacts meant to be interpreted as holistic representations of the festival experience. By using these memory evoking artefacts as a storytelling tool and for personal reminiscence, the requirements were met.



From Festival, Through Data, To Memories - Iteration 1
Description
Course: Final Bachelor Project
Period: Feb 2025 – Jun 2025
Coaching: Mathias Funk
Project Goal:
This project explores a passive data-driven alternative to active self-documentation at music festivals. Research showed that ubiquitous phone usage has a disruptive impact festival immersion. This undermines the core value of festivals: delivering engaging multisensory experiences to spark a sense of community and escapism. Therefore, I proposed to collect individual data using non-intrusive sensors during a festival and use this data to create tangible personalized mementos as a souvenir. This enables visitors to capture, share, and remember their experiences without diverting attention from the performance because of phone usage.
Process:
Trough literature research, I identified sharing experiences with others and revisiting memories as the main motivations behind active self-documentation on festivals. To succeed, I required the alternative to accomplish the same purposes. I decided to identify types of data that could passively capture meaningful aspects of the experience outside of photo and video. I landed at using an accelerometer, a GPS and a microphone. Then, trough iterative prompt engineering, I explored the novel use of generative AI to create organic 3D printable models based on the acquired data incorporated in the prompt. This resulted in abstract artefacts meant to be interpreted as holistic representations of the festival experience. By using these memory evoking artefacts as a storytelling tool and for personal reminiscence, the requirements were met.




