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Record W7048539575

Making Art Accessible to All: Co-Creating Multi-sensory Art with Visually Impaired People

2023· other· en· W7048539575 on OpenAlexaff

Bibliographic record

VenueOCAD University Open Research Repository (OCAD University) · 2023
Typeother
Languageen
FieldPhysics and Astronomy
TopicAtomic and Subatomic Physics Research
Canadian institutionsOntario College of Art and Design
Fundersnot available
KeywordsVisually impairedFeelingVisual impairmentFace (sociological concept)BraillePerceptionDigital media
DOInot available

Abstract

fetched live from OpenAlex

Blind and visually impaired people experience many limitations when encountering artworks, and most of the general public lack attention and understanding of the visually impaired community. Despite previous research efforts to make visual art more accessible to blind and visually impaired people through audio descriptions, tactile graphics, or digital media technologies, they still face challenges in experiencing art independently and feeling an emotional connection with artworks. This study explores how to create multi-sensory art for blind and visually impaired people to awaken a new form of experience. The study conducted semi-structured interviews to understand the experiences and perspectives of curators and blind artists on multi-sensory art. At the same time, by analyzing two case studies on co-creation with the visually impaired community, this study explores practices of involving the visually impaired community in the creative process. In addition, this study aims to investigate the potential of multi-sensory experiences to enhance the enjoyment and accessibility of art and culture for the visually impaired community. This study will broaden the knowledge about vulnerable communities by exploring the possibility of the visually impaired community as co-designers in multi-sensory art. This knowledge will benefit galleries, museums, and disabled communities and may lead to a positive reconsideration of the importance of an expanded sensory culture in our society.

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.715
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0020.000
Scholarly communication0.0010.001
Open science0.0030.002
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.002

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 head0.112
GPT teacher head0.390
Teacher spread0.278 · 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 teacher head, 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

Citations1
Published2023
Admission routes1
Has abstractyes

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