Further Thoughts on Measuring Narrational Complexity in Fiction Film

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Author:
Joseph P. MaglianoDepartment of Learning Sciences, Georgia State University, Georgia jmagliano@gsu.edu

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Lingfei LuanCase Western Reserve University, Cleveland lallen@umn.edu

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Laura AllenDepartment of Educational Psychology, University of Minnesota, Minnesota

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Abstract

Cutting (2021) argues that the narrational complexity of fiction film can be quantified similarly to computational measures of text complexity. Narrational complexity refers to the structure that arises from how a story is told. This article expands upon Cutting's proposal by taking inspiration from contemporary approaches for measuring text complexity. These approaches reject the notion that complexity can be measured via a limited set of indices as Cutting proposed for narrational complexity. Similarly, we argue that narrational complexity for fiction films should be multi-dimension and include indices that are associated with events, characters, and the rules that govern the fictional world. We discuss the viability of using computational approaches to analyze video and natural language processing to develop approaches to measuring narrational complexity.

Contributor Notes

Joseph P. Magliano, PhD, is a professor of educational psychology in the Department of Learning Sciences at Georgia State University. He studies the cognitive processes involved in the comprehension of media, such as texts, comics, and films. He uses a variety of empirical approaches in his program of research, such as think aloud protocols, timed responses, and event segmentation judgments. He assesses the convergence in these approaches to learn about the nature of comprehension. He also studies what it means to be ready to read for school, and in particular, college and how to support underprepared college readers. E-mail: jmagliano@gsu.edu (address for correspondence)

Lingfei Luan, PhD, is a cognitive and consulting psychologist with multiple backgrounds: film research and practice, media and communication, and experimental research. She currently works as a visiting professor of cognitive science at Case Western Reserve University. Her goal is to provide filmmakers and content makers with scientific feedback by identifying the factors that impact viewers’ interpretations and preferences. E-mail: lallen@umn.edu

Laura K. Allen, PhD, is a Bonnie Westby Huebner Chair in the Department of Educational Psychology at the University of Minnesota Twin Cities. Her research examines how individuals most effectively learn and communicate through text and discourse. Underlying this work is a focus on the use of natural language processing and data science methodologies to glean more insights into the fine-grained and multi-dimensional nature of discourse.

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The Journal for Movies and Mind

  • Ahn, David. 2006. “The Stages of Event Extraction.” ARTE ‘06: Proceedings of the Workshop on Annotating and Reasoning about Time and Events, 18. USA: Association of Computational Linguistics.

    • Search Google Scholar
    • Export Citation
  • Allen, Laura. K., Sarah D. Creer, and Mary C. Poulos. 2021. “Natural Language Processing as a Technique for Conducting Text-based Research.” Language and Linguistics Compass. doi: 10.1111/lnc3.12433

    • Search Google Scholar
    • Export Citation
  • Bordwell, David. 1985. Narration in the Fiction Film. Madison: University of Wisconsin Press.

  • Bordwell, David. 2006. The Way Hollywood Tells It: Story and Style in Modern Movies. Berkeley: University of California Press.

  • Brewer, William F., and Edward H Lichtenstein. 1982. “Stories are to Entertain: A Structural-Affect Theory of Stories.” Journal of Pragmatics 6 (5–6), 473486. doi: 10.1016/0378-2166(82)90021-2.

    • Search Google Scholar
    • Export Citation
  • Clinton, James A., Stephen W. Briner, Andrew M. Sherrill, Thomas Ackerman, and Joseph P. Magliano. 2017. “The Role of Cinematic Techniques in Understanding Character Affect.” Scientific Study of Literature 7 (2), 177202. https://doi.org/10.1075/ssol.16019.cli.

    • Search Google Scholar
    • Export Citation
  • Cutting, James E. 2021. Movies on Our Minds: The Evolution of Cinematic Engagement. New York: Oxford University Press.

  • Foy, Jeffrey E., and Richard J. Gerrig. 2014. “Flying to Neverland: How Readers Tacitly Judge Norms During Comprehension.” Memory & Cognition 42: 12501259. doi: 10.3758/s13421-014-0436-8.

    • Search Google Scholar
    • Export Citation
  • Grishakova, Marina, and Maria Poulaki, eds. 2019. Narrative Complexity: Cognition, Embodiment, Evolution. Lincoln: University of Nebraska Press.

    • Search Google Scholar
    • Export Citation
  • Hohwy, Jacob. 2013. The Predictive Mind. Oxford, UK: Oxford University Press.

  • Kincaid, J. Peter, Robert P. Fishburn, Richard L. Rogers, and Brad S. Chissom. 1975. “Derivation of New Readability Formulas for Navy Enlisted Personnel.” Institute for Simulation and Training 46: 875. https://stars.library.ucf.edu/istlibrary.

    • Search Google Scholar
    • Export Citation
  • Kintsch, Walter. 1988. The Role of Knowledge in Discourse Comprehension: A Construction-Integration Model. Psychological Review 95 (2): 163182. https://doi.org/10.1016/S0166-4115(08)61551-4.

    • Search Google Scholar
    • Export Citation
  • Kurby, Christopher A., and Jeffery M. Zacks. 2008. “Segmentation in the Perception and Memory of Events.” Trends in Cognitive Science 12 (2): 7279. doi: 10.1016/j.tics.2007.11.004.

    • Search Google Scholar
    • Export Citation
  • Lee, Carol D. 2007. Culture, Literacy, and Learning: Taking Bloom in the Midst of the Whirlwind. New York: Teachers College Press.

  • Loschky, Lester C., Adam M. Larson, Joseph P. Magliano, and Tim J. Smith. 2020. “The Scene Perception and Event Comprehension Theory (SPECT) Applied to Visual Narratives.” Topics in Cognitive Science 12 (1): 311351. https://doi.org/10.1111/tops.12455

    • Search Google Scholar
    • Export Citation
  • Luan, Linfei, Shu Hu, and Lijing Zhu. 2021. “An Analysis of 10 Films in Summer Film Market 2021: An Interdisciplinary Study Based on Film Content Quantification and Audience Analysis.” Contemporary Cinema 10: 2129. doi: CNKI:SUN:DDDY.0.2021-10-005.

    • Search Google Scholar
    • Export Citation
  • Magliano, Joseph. P., & Zacks, Jeffery M. 2011. “The impact of continuity editing in narrative film on event segmentation.” Cognitive Science, 35, 14891517. https://doi.org/10.1111/j.1551-6709.2011.01202.x

    • Search Google Scholar
    • Export Citation
  • McNamara, Danielle S., and Joseph P. Magliano. 2009. “Towards a Comprehensive Model of Comprehension.” In The Psychology of Learning and Motivation, vol. 51, edited by Brian Rossm, 297384). New York: Elsevier Science.

    • Search Google Scholar
    • Export Citation
  • McNamara, Danielle S., Arthur C. Graesser, Phillip McCarthy, and Zhiqiang Cai. 2014. Automated Evaluation of Text and Discourse with Coh-Metrix. Cambridge: Cambridge University Press.

    • Search Google Scholar
    • Export Citation
  • Muller, Valerie. 2006. “Film as Film: Using Movies to Help Students Visual Literary Theory.” The English Journal 95 (3), 3238. http://www.jstor.org/stable/30047041.

    • Search Google Scholar
    • Export Citation
  • Perfetti, Charles, and Joseph Stafura. 2014. “Word Knowledge in a Theory of Reading Comprehension.” Scientific Studies of Reading 18 (1): 2237. https://doi.org/10.1080/10888438.2013.827687

    • Search Google Scholar
    • Export Citation
  • Saerys-Foy, Jeffery E., and Joseph P. Magliano. 2021. “From Shots to Storyworlds: The Cognitive Processes Supporting the Comprehension of Serialized Television.” In Cognition, Emotion, and Aesthetics in Contemporary Serial Television, edited by Ted Nannicelli and Héctor J. Pérez, 97116. Oxon, UK: Routledge.

    • Search Google Scholar
    • Export Citation
  • Smith, John R., Dhiraj Joshi, Benoit Huet, Winston Hsu, and Jozef Cota. 2017. “Harnessing AI for Augmenting Creativity: Application to Movie Trailer Creation.” In Proceedings of the 25th ACM international conference on Multimedia, 1799–1808. https://doi.org/10.1145/3123266.3127906.

    • Search Google Scholar
    • Export Citation
  • Svanera, Michele, Sergio Benini, Nicola Adami, Riccardo Leonardi, and András Bálint Kovács. 2015. “Over-the-Shoulder Shot Detection in Art Films.” 2015 13th International Workshop on Content-Based Multimedia Indexing (CBMI), Prague, Czech Republic (pp. 16). IEEE. https://doi.org/10.1109/cbmi.2015.7153627.

    • Search Google Scholar
    • Export Citation
  • Tseng, Chiao-I., Jochen Laubrock, and John Bateman. 2021. “The Impact of Multimodal Cohesion on Attention and Interpretation in Film.” Discourse, Context, & Media 44. https://doi.org/10.1016/j.dcm.2021.100544.

    • Search Google Scholar
    • Export Citation
  • Wang, Limin, Sheng Guo, Weilin Huang, Yuanjun Xiong, and Yu Qiao. 2017. “Knowledge Guided Disambiguation for Large-scale Scene Classification with Multi-resolution CNNs.” IEEE Transactions on Image Processing 26 (4): 20552068. https://doi.org/10.1109/tip.2017.2675339

    • Search Google Scholar
    • Export Citation
  • Weng, Chung-Yi, Wei-Ta Chu, and Ja-Ling Wu. 2009. “Rolenet: Movie Analysis From the Perspective of Social Networks.” IEEE Transactions on Multimedia 11 (2): 256271. https://doi.org/10.1109/tmm.2008.2009684

    • Search Google Scholar
    • Export Citation
  • Yin, Zhichao, and Jianping Shi. 2018. “Geonet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose.” IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1983–1992. https://doi.org/10.1109/cvpr.2018.00212.

    • Search Google Scholar
    • Export Citation
  • Zwaan, Rolf A., and Gabriel A. Radvansky. 1998. “Situation Models in Language Comprehension and Memory.” Psychological Bulletin 123 (2), 162185. https://doi.org/10.1037/0033-2909.123.2.162.

    • Search Google Scholar
    • Export Citation

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