What makes some experiences in our lives stand out, and how can the photos we take help us understand why?
To explore this, a mobile app called aLife was developed to evaluate the significance of personal images and their components. This is a thesis project in the Computational Neuropsychiatry Lab (CNP Lab), led by Professor Shahar Arzy. The lab uses computational modeling, neuroimaging, and behavioral experiments to study cognition, self-experience, and their link to neuropsychiatric disorders, with a focus on Alzheimer's disease.
This project utilizes the in-house developed app to investigate significant experiences through tailored stimuli derived from participants' personal photo galleries. The app leverages CLIP-generated photo embeddings and big data analysis to explore how individuals process meaningful life events, ensuring ecological validity by using personally relevant, real-world stimuli. Additionally, the research engages diverse populations and incorporates public participation through citizen science to enhance the generalizability and relevance of the findings.
Project Status: Currently in the data analysis phase after completing an initial wide pilot with over 100 participants.
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User test, UX & UI Design, Cognitive Research Pipeline, Data Analysis, Swift & Xcode
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interaction
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storytelling
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experimental design
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interaction
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storytelling