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Multimodal communication in instructional settings: An investigation of the functional roles of gestures and arrows

2021· article· en· W4200341334 on OpenAlexaff
Cengiz Acartürk, Melda Coskun, Serap Emil

Bibliographic record

VenueRevista signos · 2021
Typearticle
Languageen
FieldPsychology
TopicLanguage, Metaphor, and Cognition
Canadian institutionsMcMaster University
Fundersnot available
KeywordsGestureComprehensionPerspective (graphical)Nonverbal communicationMultimodalityComputer scienceSpace (punctuation)CommunicationLinguisticsCognitive psychologyPsychologyHuman–computer interactionArtificial intelligenceWorld Wide Web

Abstract

fetched live from OpenAlex

Abstract In daily communication and instructional settings, arrows and spontaneous gestures usually convey similar spatial information to interlocutors. They can visualize spatial information in 2D or 3D space based on shared conceptual and spatial representations. The present study investigates the relationship between spontaneous gestures and arrows from the perspective of generation and comprehension in instructional settings. We introduce a corpus of arrows in written multimodal text and a corpus of gestures generated during communication through multimodal instructional material. We also report an experimental investigation that used corpus material to study the impact of gestures on comprehension learning. A comparison of the corpora reveals functional similarities and differences between arrows and gestures and their complementary role in multimodal communication. The findings suggest that arrows and gestures may share a common conceptual space during communication, having a significant impact on comprehension and learning.

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.

How this classification was reachedexpand

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.281
Threshold uncertainty score0.208

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 integrity0.0000.000
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 head0.019
GPT teacher head0.270
Teacher spread0.251 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations6
Published2021
Admission routes1
Has abstractyes

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