Exploiting mobile contexts for Petri-net to generate a story in cartoons

Recently, various personal information in daily life is stored in mobile devices with sensors. This information reflects heterogeneous aspects of personal life history. People have a tendency to record precious memories from the information in their life. However, it is difficult to extract and summarize the memories from the information. There are many useful traditional ways, such as photograph, video and diary, to record important memories. Especially, writing a diary is beloved as an effective method for a long time because of its effectiveness, remembrance, and empathy of storytelling. This paper proposes a Petri-net based method that organizes mobile contexts to an understandable and interesting story in cartoons. Petri-net based storytelling approach reduces the uncertainty in mobile environment and increases the diversity and causality of a story. A generated story from mobile contexts is compared with personal life history for confirming the usefulness. Also, it is compared with the other method in previous work.