Comics are one of the most popular narrative entertainment forms, with many titles offering varied types of stories. Although comic content itself has been analyzed, the way comic titles are enjoyed remains unrevealed and unexplored. We focus on comic shelves, where several comic titles are stored based on the Kansei of each user, serving as a data source for \textit{Kansei} similarities among comic titles. We developed a platform to share digital shelves of comics with a certain theme with others: ComiNet.
ComiNet displays bookshelves created by users, along with a network of comic titles based on their relationships stored in these bookshelves. Analysis of bookshelves obtained through a pilot study suggested that 1) others’ bookshelves encouraged users to share their Kansei with others, 2) bookshelf themes reflected diverse Kansei beyond standardized information such as genre or author, and 3) how comics are implicated was varied depending on the bookshelf theme.
