Comic Contents Retrieval Support Interface using Speech Frequencies of Characters
Kaifeng Lei, Yoko Nishihara, and Ryosuke Yamanishi
Over the past few decades, reading comics has become a globally accepted and appreciated form of entertainment. Although certain comics are easy to be found at bookstores and search engines, it is not guaranteed that readers can find the exact chapter and episode they desire. If the reader happens to find some unread chapters or episodes, It can end up being a spoiler. In this study, the authors do something by hypothesizing that readers can recall the content of comics by looking at the characters’ speech frequencies in the already read part. This paper proposes an interface to support the retrieval of comic content by visualizing the speech frequencies of characters in each volume using a stacked area graph. Through experiments, the authors confirmed that the proposed interface could support the retrieval of comic content.
HCII 2022: Human Interface and the Management of Information: Applications in Complex Technological Environments pp 33–44