Visualizing Nonlinear Narratives with Story Curves

Transcription

1 Visualizing Nonlinear Narratives with Story Curves 分享人 : 高康康 学号 : [1] Kim N W, Bach B, Im H, et al. Visualizing Nonlinear Narratives with Story Curves.[J]. IEEE Transactions on Visualization & Computer Graphics, 2017, PP(99):1-1.

2 IEEE Transactions on Visualization & Computer Graphics, 2017, PP(99):1-1. CONTENT Visualizing Nonlinear Narratives with Story Curves Background Related Work Design Goals Use Cases and Data Design Evaluation PART ONE PART TWO PART THREE PART FOUR PART FIVE PART SIX

3 Visualizing Nonlinear Narratives with Story Curves Background PART ONE

4 PART ONE Background Basic concept linear narrative Nonlinear Narrative Narrative Elements Narrative order Story order The narrative order determines the viewer's perception of the story Classical Narrative Patterns Chronicle( 常规线性叙事 ) Retrograde( 逆叙 ) Zigzag( 回忆叙事 ) Analepsis( 倒叙 ) Prolepsis( 预叙 ) Syllepsis( 一语双叙 ) Achrony( 乱线性叙事 ) 按时间顺序叙述按反时间顺序叙述闪回和闪前闪回闪前闪回和闪前 Genette s typology Montfort concisely describes these patterns

5 Visualizing Nonlinear Narratives with Story Curves Related Work PART TWO

6 [1] Tapaswi M, Bauml M, Stiefelhagen R. StoryGraphs: Visualizing Character Interactions as a Timeline[C] IEEE Conference on Computer Vision and Pattern Recognition. IEEE Computer Society, 2014: Character interactions Visualizing Character Interactions as a Timeline

7 [1] Kim N W, Card S K, Heer J. Tracing genealogical data with TimeNets[J]. 2010: TimeNet Visualization Tracing genealogical data with TimeNets TimeNet Visualization of the first author s family. Lifelines represent people, converging lines signify marriage, and drop lines indicate children. Annotations show both historical and personal events.

8 [1] Meidiana A, Hong S H. MultiStory: Visual analytics of dynamic multi-relational networks[c] Visualization Symposium. IEEE, 2015: Multi-relational networks Visual analytics of dynamic multi-relational networks

9 [1] Wilhelm T, Burghardt M, Wolff C. "To See or Not to See" - An Interactive Tool for the Visualization and Analysis of Shakespeare Plays[M] Multi-moment asset allocation and pricing models /. John Wiley & Sons, Inc. 2013: An Interactive Tool An Interactive Tool for the Visualization and Analysis of Shakespeare Plays Visual synopsis of Hamlet, displaying the characters speeches and deaths as well as stage directions along a discourse timeline, which is based on text lines, scenes and acts.

10 [1] Na J C, Thet T T, Khoo C S G, et al. Visual sentiment summarization of movie reviews[c]international Conference on Asia-Pacific Digital Libraries: for Cultural Heritage, Knowledge Dissemination, and Future Creation. Springer-Verlag, 2011: [2] Denis A, Cruz-Lara S, Bellalem N, et al. Visualization of affect in movie scripts[j]. Empatex International Workshop on Empathic Television Experiences at Tvx, Visual sentiment summarization of movie reviews Visualization of affect in movie scripts

11 [1] R. Sharma and V. Rajamanickam. Using interactive data visualization to explore non-linear movie narratives. Parsons Journal for Information Mapping, Using Interactive Data Visualization to Explore Non- Linear Movie Narratives

12 PART TWO Related Work Summary Character interactions Tracing genealogical data Multi-relational networks An Interactive Tool Visualization of the metadata Explore Non-Linear Movie Narratives

13 Visualizing Nonlinear Narratives with Story Curves Design Goals PART THREE

14 Design Goals Design Goals G1:Show events in both narrative and story order. G2:Present story metadata to reveal the semantic structure of narrative. G3:Let users access and read actual narrative texts. Visualization tasks T1:Identify nonlinear narrative patterns [G1] Visualization tasks T2:Identify and compare character occurrences across different scene in both story and narrative order [G1][G2] T3:Compare the character occurrences in different scene setting including location and time.[g1][g2] T4:Read character dialogs and actions [G1][G3]

15 Visualizing Nonlinear Narratives with Story Curves Data PART FOUR

16 [1] The movie database. Accessed: [2] The internet movie script database. Accessed: Movie database and movie script database Outside Location Transitions Time Shot A Parser Scene Heading Actions Character Name Dialogue Parentheticals Character Dialogue Group1: Character Name Scene Heading K-means Group2: Actions Character Dialogue Parentheticals A tagging interface Data

17 [1] The movie database. Accessed: [2] The internet movie script database. Accessed: Data The tagging interface that shows a parsed script for Eternal Sunshine of he Spotless of Mind

18 Design Goals Design Goals G1:Show events in both narrative and story order. G2:Present story metadata to reveal the semantic structure of narrative. G3:Let users access and read actual narrative texts. Visualization tasks T1:Identify nonlinear narrative patterns [G1] Visualization tasks T2:Identify and compare character occurrences across different scene in both story and narrative order [G1][G2] T3:Compare the character occurrences in different scene setting including location and time.[g1][g2] T4:Read character dialogs and actions [G1][G3]

19 Visualizing Nonlinear Narratives with Story Curves Visualization Design PART FIVE

20 [1] Kim N W, Bach B, Im H, et al. Visualizing Nonlinear Narratives with Story Curves[J]. IEEE Transactions on Visualization & Computer Graphics, 2017, PP(99):1-1. Story Curves A story curves provides a succinct visual summary of the order of events in a nonlinear.[t1][t2][t3] Scene Character Day NightNarratives pattern Story Curves

21 [1] Kim N W, Bach B, Im H, et al. Visualizing Nonlinear Narratives with Story Curves[J]. IEEE Transactions on Visualization & Computer Graphics, 2017, PP(99):1-1. Story Explorer Story Explorer processes a movie script, extracts story elements (scenes, characters, settings), and visualizes the narrative of the movie alongside the script text. It supports the curation of the chronological order of scenes and enables close reading of the script in both story and narrative order.

22 [1] Kim N W, Bach B, Im H, et al. Visualizing Nonlinear Narratives with Story Curves[J]. IEEE Transactions on Visualization & Computer Graphics, 2017, PP(99):1-1. Narrative Patterns Chronicle Retrograde Zigzag Analepsis( 倒述 ) Prolepsis( 预叙 ) Syllepsis Achrony

23 [1] Kim N W, Bach B, Im H, et al. Visualizing Nonlinear Narratives with Story Curves[J]. IEEE Transactions on Visualization & Computer Graphics, 2017, PP(99):1-1. Other things Attitude(Figure.7) Co-occurrence of the two main characters(figure.8)

24 Extended Patterns Beginning/Ending in medias res Continued flashbacks/flashforward Staged flashback/flashforward Bidirectional flashes Merging/Diverging zigzags [1] Kim N W, Bach B, Im H, et al. Visualizing Nonlinear Narratives with Story Curves[J]. IEEE Transactions on Visualization & Computer Graphics, 2017, PP(99):1-1.

25 Visualizing Nonlinear Narratives with Story Curves Use Cases and Evaluation PART SIX

26 [1] Kim N W, Bach B, Im H, et al. Visualizing Nonlinear Narratives with Story Curves[J]. IEEE Transactions on Visualization & Computer Graphics, 2017, PP(99):1-1. Use Cases Participants Three Professional Writer(W1,W2,W3) and One Literary Scholar(L1) Although the writers said that the tool may not be useful within the writing process, they all commented that it can be useful at a later stage such as revision or analysis; Two writers particularly commented on the potential usefulness of our work for students in film studies; Two participants also commented that our work can be useful at the production stage;

27 [1] Kim N W, Bach B, Im H, et al. Visualizing Nonlinear Narratives with Story Curves[J]. IEEE Transactions on Visualization & Computer Graphics, 2017, PP(99):1-1. Readability Study Participants People with no expertise in visualization and narrative theory. Procedures draw a corresponding story curve into a canvas in 20 minutes. Complete a total of 20 multiple-choice questions. Measures 计算 CS 猜中概率,R 为正确数,W 为错误数,K 为正确选项数 问题适当性的检测, 其中为回答正确的题数, N 为参与者数 为高低分之间的差距,H i 为高分组中正确回答第 i 个问题的人数,L i 为第分组中正确回答第 i 个问题的人数

28 [1] Kim N W, Bach B, Im H, et al. Visualizing Nonlinear Narratives with Story Curves[J]. IEEE Transactions on Visualization & Computer Graphics, 2017, PP(99):1-1. Discussion Suggestion One option to resolve that confusion might be arrows indicating the direction of time jumps. One participant suggested to provide a notepad and being able to directly drag events into the canvas, which we consider a useful future extension.

29 [1] Kim N W, Bach B, Im H, et al. Visualizing Nonlinear Narratives with Story Curves[J]. IEEE Transactions on Visualization & Computer Graphics, 2017, PP(99):1-1. Future Story curves were developed mainly based on Genette s analysis on event order in narratives. Genette discussed other dimensions of temporal nonlinearity, such as frequency (e.g., repetitive descriptions of a single story event) and duration (e.g., time taken to narrate a story event). it may not generalize well to ones that contain numerous violations of realistic temporality.

30 THANK YOU! 分享人 : 高康康 Visualizing Nonlinear Narratives with Story Curves