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Record W2132503829 · doi:10.11575/prism/30660

Collaborative Physical User Interfaces

2004· article· en· W2132503829 on OpenAlexaffabout
Saul Greenberg

Bibliographic record

VenuePRISM (University of Calgary) · 2004
Typearticle
Languageen
FieldComputer Science
TopicInteractive and Immersive Displays
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsSituatedVariety (cybernetics)Human–computer interactionComputer scienceUser interfaceSoftwarePost-WIMPMultimediaWorld Wide WebUser experience designUser interface designNatural user interface

Abstract

fetched live from OpenAlex

Unlike the traditional computer that is based on a screen, mouse and keyboard, physical interfaces for collaborative interaction are special purpose devices that can be situated in a real-world setting and are designed for particular collaborative contexts and uses. However this is a new design genre; developers do not yet know what these devices should do and what they should look like. In this chapter, I hint at the variety of design categories for collaborative physical interfaces, as suggested and illustrated by a collection of working prototypes created by researchers and students at the University of Calgary. We will also see that two toolkits encouraged people to explore creative ideas in this new genre. Through Phidgets, people rapidly prototype physical user interfaces under computer control. Through the Grouplab Collabrary, people had an easy means to share data between interconnected devices and software. These combined tools became a media form that allowed researchers and students to create and develop new ideas concerning physical interfaces for collaborative interaction, or to vary already established ideas in interesting ways.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.666
Threshold uncertainty score0.390

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 science0.0010.000
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 head0.006
GPT teacher head0.212
Teacher spread0.205 · 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 designBench or experimental
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

Citations13
Published2004
Admission routes2
Has abstractyes

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