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Record W2913387349

CHI '09 Extended Abstracts on Human Factors in Computing Systems

2009· article· en· W2913387349 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
TopicUsability and User Interface Design
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsPublishingSubject (documents)Computer scienceProcess (computing)Field (mathematics)Subject matterLibrary scienceWorld Wide WebMedical educationPsychologyPolitical scienceMedicineCurriculum
DOInot available

Abstract

fetched live from OpenAlex

Welcome to CHI 2009! CHI comprises many events, ranging from archival material stored in the ACM digital library, to transient interactions such as the presentations, panels, and poster discussions, to the many social interactions and activities that make CHI a collegial and intimate experience. All parts are important, but it is the archival material -- especially the papers and notes -- that establishes CHI as the leading academic conference in Human Computer Interaction. Yet there are significant challenges in managing paper and notes within CHI. The HCI field has been very successful at creating new generations of research and practitioners over the years. The many people who are part of this community see CHI as the place to share their knowledge and experiences with others, primarily by publishing and presenting papers and notes. This has stressed the system in many ways. As submissions increase, so do the difficulties in managing the review process, finding good reviewers and other volunteers, matching papers to those competent in the subject matter, deciding which papers to accept or reject, maintaining consistent standards across both paper and notes, and not falling into the trap of overly narrowing our view of what is an 'acceptable' CHI paper. This year, we introduced several large changes to the CHI papers/notes process to mitigate these challenges, most which will be transparent to attendees. First, we reorganized the CHI program committee into nine topical subcommittees - each a mini program committee - comprising sub-committee chairs (SCs) and various associate chairs (ACs) knowledgeable on the topic. Authors could select the subcommittee that he or she felt could best handle their submission. We did this to improve the match of a submission to AC and ultimately to reviewers, to have more focused and relevant discussions in the program committee meeting, and to minimize the load on individual volunteers. Second, we combined papers and notes, where all were handled in exactly the same way. We did this to ensure a consistent decision standard across both submission types. Third, we introduced contribution types, where each type described a different way that a CHI submission could contribute to the field as well as typical questions such a contribution should address. Authors identified their submission by contribution type, and (hopefully) used the information to help structure their paper. The idea is that we wanted to encourage a broad variety of submissions from authors (rather than 'formula' papers), while also providing guidance to referees by supplying criteria appropriate to the type of contribution the submission was making. It will likely take several years before the full impact of these changes are known. We know that subcommittees did help us manage the large number of submissions. We also believe there was an overall better match between referees and submissions, and that papers and notes were handled consistently. We don't yet know about the effect of contribution types: this is a cultural change where we are hoping that authors will be more willing to write papers that don't match a particular formula, and that reviewers will be more accepting of those submissions. Now for the numbers. This year, there were 1130 submissions, comprising 711 full papers and 419 notes. This is the highest number of submissions ever to CHI. Of these, we accepted 24.5%. The papers/notes committee involved 107 volunteers: the 2 co-chairs, 10 sub-committee chairs, and 95 associate chairs (ACs). Each AC managed 10-14 submissions, and personally recruited at least three -- sometimes more -- referees knowledgeable in the paper's topic. Refereeing was through blind review. Each referee returned a recommendation along with a detailed review, and authors had opportunity to rebut these reviews. Additional reviews were sometimes solicited. Almost all program committee members then attended a two day meeting in Boston in December. Rigorous discussions took place at the PC meeting, and the majority of papers were read by a second AC as well. The decision process was highly visible so that the committee could calibrate itself. Finally, the various committees nominated 5% of the submissions as potential best papers. A separate committee deliberated over these papers, where only 1% of papers and notes received a best paper award. In total, as you will see in the program, 32 papers and four notes were designated as honorable mentions, while seven papers and four notes honored as best papers. Congratulations to all authors who achieved this significant status!

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.892
Threshold uncertainty score0.503

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 communication0.0000.000
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 head0.066
GPT teacher head0.311
Teacher spread0.245 · 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

Citations0
Published2009
Admission routes1
Has abstractyes

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