As the transition to a super-aged society accelerates, the creative activities of active seniors in the digital realm are becoming increasingly vibrant. However, AI training datasets that reflect the interests and creative activities of seniors remain scarce. This study aims to develop a personalized content creation platform for seniors, and constructs a multimodal dataset by collecting image data (original paintings and photographs) and text data (diaries, poems, essays, and travel journals) directly created by senior participants. We propose the construction method of a multimodal dataset composed of creative data provided by senior participants, analyze the structural characteristics of the constructed dataset and discuss its potential applications for multimodal AI services and content-based research targeting the senior population. The proposed dataset is expected to be valuable for multimodal AI research, especially in content generation, personalization, and senior-oriented services.
KSP Keywords
Construction Method, Image Data, Multimodal dataset, Potential applications, Structural characteristic, Super-aged society, content creation, content generation, content-based, text data
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