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Record W1965534305 · doi:10.1145/2212776.2212703

Visual thinking & digital imagery

2012· article· en· W1965534305 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.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicInnovative Human-Technology Interaction
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsForegroundingVisual literacyVisual thinkingMental imageComputer scienceVisual researchHuman–computer interactionPsychologyCognitive scienceMultimediaVisual artsPedagogyMathematics educationArt

Abstract

fetched live from OpenAlex

This workshop focuses on exploring the centrality of visual literacy and visual thinking to HCI. Drawing on emerging critical perspectives, the workshop will address visual literacy and visual thinking from an interdisciplinary and transdisciplinary design-orientation [2, 8], foregrounding the notion that imagery is a primary form of visual thinking. Imagery - "which subsumes digital imagery - "goes well beyond sketching and beyond storyboards, screenshots and wireframes. We will address how a broader framework for visual thinking and imagery in HCI can play a role in raising the visual standards of HCI research and practice. Workshop participants will investigate possibilities for developing a culture of curatorial gaze in HCI, in order to (i) promote collection of digital images as a method appropriate for a design-oriented discipline, (ii) invite others to contribute to a genre of working and corpus of imagery unique to HCI, and (iii) to expand the approaches that design-oriented HCI may productively and creatively draw upon.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.790
Threshold uncertainty score0.999

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 communication0.0000.003
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.002

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 head0.024
GPT teacher head0.305
Teacher spread0.280 · 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

Citations20
Published2012
Admission routes1
Has abstractyes

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