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Record W2074773329 · doi:10.1177/1470357208092323

Designing for the unexpected: the role of creative group work for emerging interaction design paradigms

2008· article· en· W2074773329 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

VenueVisual Communication · 2008
Typearticle
Languageen
FieldPsychology
TopicCreativity in Education and Neuroscience
Canadian institutionsMcGill University
Fundersnot available
KeywordsHuman–computer interactionWearable computerInteraction designComputer scienceUnderpinningRelevance (law)User experience designProduct designUser interfaceProduct (mathematics)SociologyEngineering

Abstract

fetched live from OpenAlex

Interaction design for new technological environments relies on the tradition of human—computer interaction (HCI). With roots in the 1980s, HCI design paradigms often reflect the setting in which the user is an office worker in front of a desktop computer. As computational power can now be embedded in almost any type of product, the desktop setting has lost much of its relevance as a starting point for interface design. In particular, interfaces for wearable computing challenge designers to look for completely new approaches to interaction design. In this article, we propose a method in which the ideas for new creative forms of interaction design are triggered through panel work. This method draws on an underpinning theoretical framework from structural semiotics that emphasizes the holistic nature of design.

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)0.001
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: none
Teacher disagreement score0.715
Threshold uncertainty score0.628

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.129
GPT teacher head0.424
Teacher spread0.295 · 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