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Enregistrement W2914692564

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

2014· article· en· W2914692564 sur OpenAlexaffabout
Matt Jones, Philippe Palanque, Albrecht Schmidt, Tovi Grossman

Notice bibliographique

Revuenon disponible
Typearticle
Langueen
DomaineComputer Science
ThématiqueContext-Aware Activity Recognition Systems
Établissements canadiensAutodesk (Canada)
Organismes subventionnairesnon disponible
Mots-clésVisionGlobeTheme (computing)Diversity (politics)Multidisciplinary approachEvent (particle physics)Everyday lifeSociologyPublic relationsEngineering ethicsLibrary scienceComputer sciencePolitical sciencePsychologyWorld Wide WebEngineeringSocial science
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

CHI is more than a conference, it is an international community of researchers and practitioners who want to make a difference. Everything we do is focused on uncovering, critiquing and celebrating radically new ways for people and technology to evolve together. People in their everyday contexts, in diverse regions of the world, from very different backgrounds, with alternative outlooks on life drive this innovation. As you take part in the conference sessions we really hope you will experience how powerful this people-centred approach to technological transformation can be. CHI as a conference is now in its 32nd year and has grown to become the premier international forum on human-computer interaction, gathering us all to share innovative interactive insights that shape people's lives. CHI draws together a multidisciplinary community from around the globe. Our great strength is our ability to bring together students and experts, researchers and practitioners, scientists, designers and engineers, drawing from their rich perspectives to create new visions of humancomputer interaction. This year's conference theme is One of a CHInd. We chose this nearly two years ago as we began planning for this event. It has helped us focus our efforts and we hope you will use it to keep your eyes open to the bigger picture amongst all the excitement, range of presentations and activities at the conference. CHI 2014 is One of CHInd because it is a celebration of the conference's one of a kind diversity; from the broad range of backgrounds of its attendees, to the diverse spectrum of communities and fields that the conference and its research have an impact on. CHI 2014 will take place at the Metro Toronto Convention Centre in Toronto, Canada, a city itself known for its one of a kind cultural diversity. But, CHI 2014 is more than a celebration of the diversity of our community and conference setting. We hope that this year's event, more than anything, reminds you that the people, participants, users or humans that you hear described throughout this week are actually uniquely wonderful individuals full of hopes, concerns, joys and frustrations. CHI is here to serve all of these one of a kinds. CHI 2014 features two outstanding keynote speakers: Booker prize winning author, Margaret Atwood and leading UX designer, Scott Jenson. New for CHI 2014, we have Provoke! Wisdom! Impact! plenary talks first thing each morning on Tuesday, Wednesday and Thursday. Come along, join the crowd and be energised by our speakers who will each bring in their experience of the Big Picture to inspire us. The talks will be short - twenty minutes - and then the rest of the day's programme will begin. We are also delighted to host a timely retrospective exhibition on wearable technology curated by Thad Starner and Clint Zeagler. CHI 2014 also includes two days of focused workshops and four days of technical content, including CHI's prestigious technical program, with 16 parallel sessions of rigorously reviewed research Papers, engaging Panels, Case Studies and Special Interest Groups (SIGs), an extensive Course program and invited talks from SIGCHI's award winners: Steve Whittaker, Gillian Grampton Smith and Richard Ladner. We also host student research, design, and game competitions, provocative alt.chi presentations and last-minute SIGs for discussing current topics. Interactivity hands-on demonstrations showcase the best of interactive technology. We also highlight over 241 Work-In-Progress posters: this year we have added some features to these sessions to better help you get the most out of the exciting, early stage work on show; do go along and engage with the authors about their work. Evening events include the CHI 2014 conference reception, Sponsors and University events, local performances and the Job Fair. We received over 3200 submissions and accepted nearly 1000 that will appear in the ACM Digital Library. To help you navigate through this immense program, there are a number of online and digital resources from the conference website to our mobile apps. You can also browse the videos, papers and extended abstracts on the CHI 2014 USB Key. But, CHI 2014 is about being in Toronto so perhaps the best way to select from and experience the event is by asking for pointers and chatting with your fellow attendees, our wonderful student volunteers, the information desk helpers or any of this year's committee. We are all here to make your experience as useful and enjoyable as possible. We are deeply indebted to our vast number of volunteers, without whom CHI 2014 would not be possible, including over 3800 reviewers, over 180 senior members of the program committee, nearly 100 members of the CHI 2014 conference committee and, of course, the more than 180 student volunteers. We thank you all! We are honored and excited by the opportunity to host CHI 2014 and wish you a productive and enjoyable stay in Toronto!

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)0,008
score de la tête « metaresearch » (Gemma)0,019
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
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 enseignants0,073
Score d'incertitude au seuil0,244

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0080,019
Méta-épidémiologie (sens strict)0,0020,001
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0020,002
Communication savante0,0060,004
Science ouverte0,0010,003
Intégrité de la recherche0,0020,004
Charge utile insuffisante (le modèle a refusé de juger)0,0730,025

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 Opus0,074
Tête enseignante GPT0,281
Écart entre enseignants0,207 · 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.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
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

Citations1
Publié2014
Routes d'admission2
Résumé présentoui

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