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Record W169688737

Supporting Coherence with a 3D Instant Messenger Visualization

2002· article· en· W169688737 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
TopicData Visualization and Analytics
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsInstantConversationComputer scienceHuman–computer interactionCoherence (philosophical gambling strategy)MetaphorVisualizationCasualPoint (geometry)Space (punctuation)MultimediaArtificial intelligenceCommunicationPsychology
DOInot available

Abstract

fetched live from OpenAlex

Instant messengers have become a popular medium for providing awareness of others and supporting casual interaction. To smoothly move into and out of computermediated conversation, coherence is necessary not only as a means to represent conversations, but also to afford an awareness of who is around and if they are available for interaction. We have developed a peripheral visualization for an instant messenger designed to utilize people’s natural cognitive abilities. Each contact is represented by pictures for each availability state (e.g. online, offline) or video snapshots embedded within a 3D environment using a space metaphor. Contacts that are more available— determined as a function of availability state and a viewersettable interest level—are placed in the foreground and contacts less available are placed closer to a single focal point in distant space. The viewer is able to move contacts throughout the space to create a spatial mapping. Contacts that are of interest display conversation bubbles containing incoming messages.

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: Methods · Consensus signal: none
Teacher disagreement score0.965
Threshold uncertainty score0.823

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.029
GPT teacher head0.307
Teacher spread0.278 · 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

Citations6
Published2002
Admission routes1
Has abstractyes

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