Skip to main content
SpringerLink
Log in

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

  • Published:
Applied Intelligence Aims and scope Submit manuscript

Abstract

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.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Smeaton AF, O’Connor N, Jones G, Gaughan G, Lee H, Gurrin C (2006) SenseCam visual diaries generating memories for life. Poster presented at the memories for life colloquium 2006

  2. Raento M, Oulasvirta A, Petit R, Toivonen H (2005) ContextPhone: a prototyping platform for context-aware mobile applications. IEEE Pervasive Comput 4(2):51–59

    Article  Google Scholar 

  3. Aizawa K, Hori T (2003) Context-based video retrieval system for the life-log applications. In: Proc. of MIR 2003. ACM, New York, pp 31–38

    Google Scholar 

  4. Gemmell J, Bell G, Lueder R (2006) MyLifeBits: a personal database for everything. Commun ACM 49(1):88–95

    Article  Google Scholar 

  5. Ventura D, Brogan D (2002) Digital storytelling with DINAH: dynamic, interactive, narrative authoring heuristic. In: IFIP first international workshop on entertainment computing, May 2002, pp 91–99

  6. Korpipaa P, Mantyjarvi J, Kela J, Keranen H, Malm E-J (2003) Managing context information in mobile devices. IEEE Pervasive Comput 2(3):42–51

    Article  Google Scholar 

  7. Mantyjarvi J, Seppanen T (2003) Adapting application in handheld devices using fuzzy context representation. Interact Comput 15(4):521–538

    Article  Google Scholar 

  8. Siewiorek D, Smailagic A, Furukawa J, Krause A, Moraveji N, Reiger K, Shaffer J, Wong FL (2003) Sensay: a context-aware mobile phone. In: IEEE int symposium on wearable computers, pp 248–249

  9. Sumi Y, Sakamoto R, Nakao K, Mase K (2002) ComicDiary: representing individual experiences in a comics style. In: UbiComp 2002: ubiquitous computing, pp 329–336

  10. Cho S-B, Kim K-J, Hwang K-S, Song I-J (2007) AniDiary: daily cartoon-style diary exploits Bayesian networks. IEEE Pervasive Comput 6(3):66–75

    Article  Google Scholar 

  11. Hwang K-S, Cho S-B (2006) Modular Bayesian networks for inferring landmarks on mobile daily life. In: Lecture notes on artificial intelligence, vol 4304, pp 929–933

  12. Theune M, Faas S, Nijholt A, Heylen D (2003) The virtual storyteller: story creation by intelligent agents. In: Proceedings technologies for interactive digital storytelling and entertainment TIDSE, pp 204–215

  13. Meehan J (1976) The metanovel: writing stories by computer. PhD thesis, Dept of Computer Science, Yale University

  14. Aylett R (1999) Narrative in virtual environments—towards emergent narrative. In: Proceedings of the AAAI fall symposium on narrative intelligence, pp 83–86

  15. Propp V (1968) Morphology of the folktale. University of Texas Press, Austin

    Google Scholar 

  16. Correira A (1980) Computing story trees. Am J Comput Linguist 6(3–4):135–149

    Google Scholar 

  17. Lang R (1999) A declarative model for simple narratives. In: Proceedings of the AAAI fall symposium on narrative intelligence, pp 134–141

  18. Riedl OM, Young MR (2006) From linear story generation to branching story graphs. IEEE J Comput Graph Animat 26(3):23–31

    Article  Google Scholar 

  19. Ushiama T, Watanabe T (2004) A life-log search model based on Bayesian network. In: Multimedia software engineering, proceedings of IEEE 6th int symposium, pp 337–343

  20. Choi K-S (2003) CoreNet: Chinese-Japanese-Korean wordnet with shared semantic hierarchy. In: Natural language processing and knowledge engineering, pp 767–770

  21. Peterson LJ (1981) Petri net theory and the modeling of systems. Prentice-Hall, Englewood Cliffs

    Google Scholar 

  22. Brom C, Abonyi A (2006) Petri nets for game plot. In: Proceedings of AISB artificial intelligence and simulation behaviour convention, Bristol, vol 3, pp 6–13

  23. Lima P, Gracio H, Veiga V, Karlsson A (1998) Petri nets for modeling and coordination of robotic tasks. In: IEEE int conference on systems, man, and cybernetics, vol 1, pp 190–195

  24. Di Febbraro A, Sacone S (1998) Hybrid modelling of transportation systems by means of Petri nets. In: IEEE int conference on systems, man, and cybernetics, vol 1, pp 131–135

  25. Chen Y-L, Hsu P-Y, Chang Y-B (2008) A Petri net approach to support resource assignment in project management. IEEE Trans Syst Man Cybern, Part A 38(3):564–574

    Article  Google Scholar 

  26. Blabanovic M, Chu LL, Wolff JG Storytelling with digital photographs

  27. Horvitz E, Dumais S, Koch P (2004) Learning predictive models of memory landmarks. In: 26th annual meeting of the cognitive science society, Chicago, pp 1–6

  28. Aizawa K, Tancharoen D, Kawasaki S, Yamasaki T (2004) Efficient retrieval of life log based on context and content. In: Proceedings of the 1st ACM workshop on continuous archival and retrieval of personal experiences, New York, USA, pp 22–31

  29. Abowd DG, Dey KA, Brown JP, Davies N, Smith M, Steggles P (1999) Towards a better understanding of context and context-awareness. In: Proceedings of the 1st int symposium on handheld and ubiquitous computing, pp 304–307

Download references

Author information

Authors and Affiliations

  1. Dept. of Computer Science, Yonsei University, 262 Seongsanno, Seodaemun-gu, Seoul, 120-749, Korea

    Young-Seol Lee & Sung-Bae Cho

Authors
  1. Young-Seol Lee
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Sung-Bae Cho
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Sung-Bae Cho.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Lee, YS., Cho, SB. Exploiting mobile contexts for Petri-net to generate a story in cartoons. Appl Intell 34, 1–18 (2011). https://doi.org/10.1007/s10489-009-0175-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10489-009-0175-x

Keywords

Search

Navigation