Why Are We Like This?: The AI Architecture of a Co-Creative Storytelling Game

Kreminski, Max; Dickinson, Melanie; Mateas, Michael; Wardrip‐Fruin, Noah

doi:10.1145/3402942.3402953

Cited by 30 publications

(14 citation statements)

References 10 publications

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“…monitor data sources, collect data, define characters, develop the plot over time, visualize data, measure success, etc. (Al-Doulat et al, 2020;Dur, 2012;Kreminski et al, 2020;Thorne, 2020;Yang et al, 2019).…”

Section: Data Communicationmentioning

confidence: 99%

Data Storytelling to Communicate Big Data Internally – a Guide for Practical Usage

Oberascher

Ploder²,

Spiess³

et al. 2023

EJMI

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Purpose: Data is collected from all aspects of our lives. Yet, data alone is useless unless converted into information and, ultimately, knowledge. Since data analysts, in most cases, are not the ones in charge of making decisions based on their findings, communicating the results to stakeholders is crucial to passing on information of data-driven insights. That is where the discipline of data storytelling comes into play. Often, data storytelling is considered an effective data visualization. Creating data stories is a structured approach to communicating data insights as an interplay of the three elements data, visuals, and narrative. Sharing data-driven insights to support better business decisions require data storytellers skilled in the “art of storytelling”. Design/Method/Approach: In this paper, the authors discuss the use of data storytelling in business to communicate data to stakeholders for improving decision-making. The findings are derived from (1) an extensive literature review and (2) a qualitative analysis of 13 expert interviews with people incorporating data storytelling into their daily work within their jobs in international companies. Findings: These interviews revealed the importance of providing a flexible tool to support knowledge sharing for people communicating complex data to internal stakeholders. Combining literature with qualitative research enabled the authors to create the "data storytelling cheat sheet", a guide for practical data storytelling. Theoretical Implications: Theories like the Psychological distance or the idea of the theory of dual processing dual are used to base our research idea on. There was no new theory built in this paper. Practical Implications: One of the results is an implementation systematic cheat sheet that helps practitioners to implement data storytelling in their daily business. Originality/Value: The theory of data storytelling is overwhelming the first time to use and based on an empirical study with experts in the field a guideline for hands on use was developed under a based on a cleanly defined empirical study. Research Limitations/Future Research: The paper focus on internal data storytelling – maybe with external stakeholders it might be slightly different. The results the data communication part in any data analytics project. Paper Type: Empirical JEL Classification: D7, D8

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Section: Data Communicationmentioning

confidence: 99%

Data Storytelling to Communicate Big Data Internally – a Guide for Practical Usage

Oberascher

Ploder²,

Spiess³

et al. 2023

EJMI

View full text Add to dashboard Cite

show abstract

“…From previous research related to game design based on location and storytelling, game design that involves location and storytelling results in curiosity for players and gives players experience to feel in the form of memory, presence, and attention. Meanwhile, the game has its Storyworld, such as characters, projects, institutions, events, relationships, and impressions that become the in-game database (Kreminski et al, 2020). A game with locations and characters in it, which are translated into gami cation, forms the Storyworld in the form of space in the game, which becomes its database and information.…”

Section: Theoretical Framework Supporting Game Design Story Telling G...mentioning

confidence: 99%

Visual Concept of Game Heroic Education Based on Player-Centered Design

Mu'minin

Mutiaz

2022

Preprint

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A national hero represents a nation as a role model with heroic values that need to be introduced to Z-generation as students. The case study of this research is Himayatuddin Muhammad Saidi as, the 185th national hero from Indonesia, November 2019. The design process is carried out using the Player-Centered Design method, which is explained in terms of Mission Understanding Human Motivation, Implementing Game Mechanics, Manage, and Measure in usability testing. The visual concept of the game is sourced from Gen-Z responses by 73 respondents by assessing four-game designs, which ANOVA analyzed. The dominant preference is the strategy game genre with an average score (71.25), Action (69.94), RPG (67.09), and Adventure (63.87). Through research and experimentation, it was found that ten components make up a heroic game. Then usability testing was carried out with measurement results using a Likert scale and Nielsen's model by 25 students. The heroic game design has an average response of 4.45, i.e., 89% success, ready to be used by Gen-Z in Indonesia and on the International scale.

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“…Artificial intelligence has increasingly supported narrative in a range of contexts, reshaping and expanding how the age-old humanistic practice of telling stories takes hold [59,60,79]. While there is much exciting work in the realms of computational narrative intelligence [40] ranging from creative visual storytelling with robots [49,86,87] to emergent narrative with co-creative interactive storytelling characters [42,43,85], this work takes a step back from the technology itself to better understand the human creative process of storytelling resulting from a controlled elicitation process. In this paper, we set out to, first, examine human intelligence of storytelling without computationally modeling story generation just yet.…”

Section: Introductionmentioning

confidence: 99%

Envisioning Narrative Intelligence: A Creative Visual Storytelling Anthology

Halperin

Lukin

2023

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

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In this paper, we collect an anthology of 100 visual stories from authors who participated in our systematic creative process of improvised story-building based on image sequences. Following close reading and thematic analysis of our anthology, we present five themes that characterize the variations found in this creative visual storytelling process: (1) Narrating What is in Vision vs. Envisioning; (2) Dynamically Characterizing Entities/Objects; (3) Sensing Experiential Information About the Scenery; (4) Modulating the Mood; (5) Encoding Narrative Biases. In understanding the varied ways that people derive stories from images, we offer considerations for collecting story-driven training data to inform automatic story generation. In correspondence with each theme, we envision narrative intelligence criteria for computational visual storytelling as: creative, reliable, expressive, grounded, and responsible. From these criteria, we discuss how to foreground creative expression, account for biases, and operate in the bounds of visual storyworlds.

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Why Are We Like This?: The AI Architecture of a Co-Creative Storytelling Game

Cited by 30 publications

References 10 publications

Data Storytelling to Communicate Big Data Internally – a Guide for Practical Usage

Data Storytelling to Communicate Big Data Internally – a Guide for Practical Usage

Visual Concept of Game Heroic Education Based on Player-Centered Design

Envisioning Narrative Intelligence: A Creative Visual Storytelling Anthology

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