2024 - 2025

With the increasing availability of personal data in everyday life, supporting people’s meaning-making from personal data has become an important topic in HCI research. Prior work has explored alternative ways of representing personal data, such as data visualization or data physicalization, to facilitate more meaningful and reflective engagement with personal data. Recently, generative AI has introduced new opportunities to transform personal data into alternative visual forms. In particular, image-generative AI can represent personal data in more subjective, abstract, and imaginative visual forms, which may encourage users to reflect on and interpret their data through imagination and speculation. Based on this background, we aim to explore new possibilities of how image-generative AI can be leveraged to design for personal data meaning-making, investigating the potential of AI as reflective resources for fostering deeper prather than diminish users’ critical, reflective and creative capacities.

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