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Record W2049056825 · doi:10.1093/iwc/iws018

The Design of Organic User Interfaces: Shape, Sketching and Hypercontext

2013· article· en· W2049056825 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

VenueInteracting with Computers · 2013
Typearticle
Languageen
FieldComputer Science
TopicInteractive and Immersive Displays
Canadian institutionsCarleton UniversityQueen's University
Fundersnot available
KeywordsHuman–computer interactionComputer scienceObject (grammar)Interactive designInterface (matter)Interaction designDesign elements and principlesUser interfaceArtificial intelligenceSoftware engineering

Abstract

fetched live from OpenAlex

With the emergence of flexible display technologies, it will be necessary for interface designers to move beyond flat interfaces and to contextualize interaction in an object's physical shape. Grounded in early explorations of organic user interfaces (OUIs), this paper examines the evolving relationship between industrial and interaction designs and examines how not only what we design is changing, but how we design too. First, we discuss how (and why) to better support the design of OUIs: how supporting sketching, a fundamental activity of many design fields, is increasingly critical and why a ‘hypercontextualized’ approach to their design can reduce the drawbacks met when everyday objects become interactive. Finally, underlying both these points is the maturation of technology to that of a computational material; when interactive hardware is seamlessly melded into an object's shape, the ‘computer’ disappears and is better seen as a basic design material that, incidentally, happens to have interactive behavior.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.808
Threshold uncertainty score0.595

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 communication0.0010.001
Open science0.0010.000
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 head0.013
GPT teacher head0.225
Teacher spread0.212 · 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