This session discusses a novel library’s modality supported by AI technologies that realizes a community-cohesive society. Misfits of problems consciousness often occur between communities, especially between generations. For example, elderly people consider welfare expenses still insufficient from their viewpoints, and parenting youngers have an impression that spending on children has been reduced. Libraries supported by AI technologies would provide an environment to discuss and share common views on these problems among communities based on data.
Application examples are as follows: human tracking and relationship modeling technologies would generate an intercommunal group that easily make a chance to discuss a problem, AI technology would provide data related to the discussion, and group-work measurement and intervention technologies would energize the discussion and expand the group. We would present several technology seeds and practical application examples, and would like to share and debate technical contributions to the library that realizes the community-cohesive society.
Akihiko MURAI (Human Augmentation Research Center, AIST, JAPAN)
Ikue MORI (Human Augmentation Research Center, AIST, JAPAN)
Koichi KOJIMA (Human Augmentation Research Center, AIST, JAPAN)
Hiroshi SATO (Human Informatics Research Institute, AIST, JAPAN)
Kotaro OHBA (Robot Innovation Research Center, AIST, JAPAN)
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