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Record W2244803845

Proceedings of the 10th international ACM SIGACCESS conference on Computers and accessibility

2008· article· en· W2244803845 on OpenAlexaboutno aff
Simon Harper, Armando Barreto

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicDigital Accessibility for Disabilities
Canadian institutionsnot available
Fundersnot available
KeywordsSession (web analytics)Promotion (chess)Computer scienceLibrary scienceEvent (particle physics)World Wide WebPolitical science
DOInot available

Abstract

fetched live from OpenAlex

Welcome to ASSETS 2008, the Tenth International ACM SIGACCESS Conference on Computers and Accessibility! This year's meeting continues the tradition started in Marina del Rey, in 1994, which has become an annual event since 2004. In 2008 ASSETS continues to be the premier international gathering of researchers, practitioners, educators, and students involved in the application of computing and information technologies to provide assistive systems to people with special needs, and the development of computing technologies and their use by people with disabilities. The conference's activities provide a rich source of information and motivation for anyone interested in the promotion of accessibility, at diverse levels. The opening keynote will be provided by Professor Ronald M. Baecker, Bell Chair in Human-Computer Interaction, University of Toronto, who will talk about the design of technology to aid cognition. The podium presentations include 29 full-length technical papers selected from 79 submissions, which have been organized in 10 thematic sessions. Attendees will have the opportunity to examine late-breaking results, as well as work-in-progress and practical implementations of research projects through 34 posters and demonstrations, selected from 49 submissions in a session chaired by Chieko Asakawa and Hironobu Takagi. These proceedings contain a 2-page abstract from each one of these posters and demonstrations. Both technical papers and poster/demonstration papers were subjected to a competitive peer-review process, ensuring that the papers included in these proceedings represent the state-of-the-art in the discipline. Nine rising new stars of the accessibility field have been selected to bid for the top prize of the Microsoft Student Research Competition, chaired by Matt Huenerfauth and Pawan Lingras. These students have submitted 2-page abstracts of their work (included in these proceedings), and will present their projects in posters during designated sessions at the conference. Additionally, the Doctoral Consortium, chaired by John Black and Giorgio Brajnik, will allow 11 doctoral students to share and discuss their research with a panel of established accessibility researchers. The themes covered by the papers chosen for presentation at ASSETS this year show some interesting trends. As our understanding and awareness of cognitive and memory functions, and their disruptions, increase, accessibility researchers are addressing new challenges in these areas, which is reflected in the program and the keynote presentation. It is no surprise that the work in the area of Web accessibility continues to be an important focus of the conference, as the Web has become such an incredible outlet for different types of participation of individuals in society. However, while many forms of social participation may be just a web page away, the efforts to make it accessible to all are still ongoing, and some important contributions are described in these proceedings. This year's program includes a session that explores the use of the Web, and the pervasiveness of electronic personal communication media, to prospectively allow anyone to contribute to the development of shared accessibility resources. Information is power, and these new approaches aim at the future use of electronic communication networks to allow anyone interested to donate information that will empower individuals who face accessibility barriers. This is all taking place at a time in which the technological capabilities that our research community can bring to bear to address accessibility challenges (processing speed, storage capacity, power efficiency, size reduction, component affordability) continue to improve, promising to propel even more imaginative solutions to accessibility problems in the near future. It is an exciting time for accessibility research, and we hope that this excitement will permeate the halls at ASSETS 2008 and that you become part of it.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.307
Threshold uncertainty score0.988

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0080.008
Open science0.0020.005
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.3070.200

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 head0.075
GPT teacher head0.336
Teacher spread0.260 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2008
Admission routes1
Has abstractyes

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