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CHI '09 Extended Abstracts on Human Factors in Computing Systems

2009· article· en· W2913387349 sur OpenAlexaff
Dan R. Olsen, Ken Hinckley, Meredith Ringel Morris, Scott E. Hudson, Saul Greenberg

Notice bibliographique

Revuenon disponible
Typearticle
Langueen
DomaineComputer Science
ThématiqueUsability and User Interface Design
Établissements canadiensUniversity of Calgary
Organismes subventionnairesnon disponible
Mots-clésPublishingSubject (documents)Computer scienceProcess (computing)Field (mathematics)Subject matterLibrary scienceWorld Wide WebMedical educationPsychologyPolitical scienceMedicineCurriculum
DOInon disponible

Résumé

récupéré en direct d'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!

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,006
score de la tête « metaresearch » (Gemma)0,022
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Autre · Signal consensuel: Autre
Score de désaccord entre enseignants0,329
Score d'incertitude au seuil0,957

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0060,022
Méta-épidémiologie (sens strict)0,0030,001
Méta-épidémiologie (sens large)0,0030,002
Bibliométrie0,0020,002
Études des sciences et des technologies0,0020,001
Communication savante0,0100,006
Science ouverte0,0020,004
Intégrité de la recherche0,0030,005
Charge utile insuffisante (le modèle a refusé de juger)0,3290,118

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,066
Tête enseignante GPT0,311
Écart entre enseignants0,245 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreAutre

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2009
Routes d'admission1
Résumé présentoui

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