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Record W2296223890 · doi:10.1145/2839462.2839471

Towards a Framework for Tangible Narratives

2016· article· en· W2296223890 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicInteractive and Immersive Displays
Canadian institutionsToronto Metropolitan University
FundersCanada Research Chairs
KeywordsStorytellingNarrativeComputer sciencePerspective (graphical)Human–computer interactionInteractive storytellingUser interfaceMultimediaArtificial intelligence

Abstract

fetched live from OpenAlex

This paper presents a preliminary framework to inform the analysis and design of tangible narratives. Researchers and designers have been using tangible user interfaces (TUIs) for storytelling over the past two decades, but to date no comprehensive analysis of these systems exists. We argue that storytelling systems that use digitally-enhanced physical objects form a unique medium with identifiable narrative characteristics. Our framework isolates these characteristics and focuses on the user's perspective to identify commonalities between existing systems, as well as gaps that can be addressed by new systems. We find that the majority of systems in our sample require the user to perform exploratory actions from an external narrative position. We note that systems that cast the user in other interactive roles are rare but technologically feasible, suggesting that there are many underexplored possibilities for tangible storytelling.

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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.652
Threshold uncertainty score0.206

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 communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.023
GPT teacher head0.307
Teacher spread0.284 · 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

Quick stats

Citations78
Published2016
Admission routes2
Has abstractyes

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