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Human–Computer Interaction

2009· other· en· 804 citations· W2750641468 on OpenAlex· 10.1002/9780470050118.ecse524

Why is this work in the frame?

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

Canadian affiliationAn author listed a Canadian institution. This is the only route the usual frame has.

Full frame distilled prediction

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.

Candidate categories
Meta-epidemiology (narrow)
Consensus categories
none
Domain
Candidate signal: noneConsensus signal: none
Study design
Candidate signal: Not applicableConsensus signal: none
Genre
Candidate signal: MethodsConsensus signal: Methods
Teacher disagreement score
0.624
Threshold uncertainty score
1.000
Validation status
machine_predicted_unvalidated · codex-gemma-dda1882f352a

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

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.

Opus teacher head0.010
GPT teacher head0.228
Teacher spread
0.218 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Abstract

Abstract Human–computer interaction (HCI) is a discipline concerned with the design, evaluation, and implementation of interactive computing systems for human use. The field formally emerged out of computer science, cognitive psychology, and industrial design through the 1960s, formulating guidelines for the development of interactive computer systems, highlighting usability concerns, and providing the impetus for improved interfaces. Computing devices are becoming more prevalent and integrated into both our social and work spaces, and in some cases, they are already essential elements of these environments. HCI therefore plays an increasingly important role in ensuring that computer systems are not only functional but also respect the needs and capabilities of the humans that use them.

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.

The record

Venue
Wiley Encyclopedia of Computer Science and Engineering
Topic
Usability and User Interface Design
Field
Computer Science
Canadian institutions
McGill University
Funders
not available
Keywords
UsabilityHuman–computer interactionComputer scienceField (mathematics)Interactive systems engineeringInteractive computingUser interfaceUser experience designUser interface design
Has abstract in OpenAlex
yes