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Record W4281480268 · doi:10.32920/ifmj.v2i2.1617

Immersive Storytelling in Creative Media, Smart Manufacturing and Healthcare

2022· article· en· W4281480268 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInteractive Film and Media Journal · 2022
Typearticle
Languageen
FieldComputer Science
TopicAugmented Reality Applications
Canadian institutionsnot available
Fundersnot available
KeywordsStorytellingInteractivityAugmented realityNarrativeComputer sciencePopularityVirtual realityContext (archaeology)ContextualizationMultimediaMetaverseHuman–computer interactionPsychologyArt

Abstract

fetched live from OpenAlex

The paper explores interactive storytelling in Augmented and Virtual Reality. It is based on the project ANONYMIZED that bridges the gap between technological developments and their application and aims to combine art, economy and science. Five use cases employ an interdisciplinary research design in the areas of Creative Media, Smart Manufacturing and Healthcare. They all develop prototypical applications but also attend to their contextualization with focus on narrative elements: Each use case defines a ”story” in its own context, the purpose of its narration, and its media specificity. Due to their increased availability, virtual and immersive technologies have not only led to a resurgence of their popularity but also to intriguing new perspectives regarding their use in different contexts. Our research project employs state-of-the art AR and VR technology in five use cases about VR Interaction, Motion Tracking in Artistic VR, Auditory AR for Industry, AR Interfaces for Industry and AR Education for Patients. All of them inquire prototypical applications but relate to the central concept of interactive storytelling. The project addresses three distinct dimensions of storytelling in each use case: the production of a coherent story, the collection and transfer of knowledge, and the specificity of the used technology. Those dimensions are widely known and employed. However, they are seldomly intertwined in one interdisciplinary project focusing on immersive media. Furthermore, the notions of interactivity and immersion play significant roles in the study of storytelling in conjunction with VR an AR. Following papers about immersive storytelling are significant: John Bucher (2017) e. g. examines the timeless principles of storytelling and how they are applied, transformed, and transcended in VR. Marie-Laure Ryan (2015) combines the concepts of immersion and interactive storytelling into a Poetics of Immersion including spatial, temporal and emotional categories. She highlights underlying interactive structures such as the Complete Graph, the Network, the Flowchart. Moya Baldry (2018) discusses the role of the author in complex narratives of immersive environments. Covering the areas of Creative Media, Smart Manufacturing and Healthcare leads to a very specific research design, as each area is connected to different research contexts. Therefore, the paper focuses on the above-mentioned dimensions of storytelling and addresses the following questions: How is the “story” defined in each context and what is its purpose? Which methods and technologies are used to convey it? Which narrative elements show potential and how can they be developed further for future applications? The paper reflects on the outcome of the use cases and potential future applications of interactive storytelling in immersive media.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.417
Threshold uncertainty score0.445

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.018
GPT teacher head0.270
Teacher spread0.252 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it