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Record W4409020858 · doi:10.1162/leon_a_02714

<i>MindClay</i> : From Interactive Installations to a Digital Platform for Therapeutic Creative Arts

2025· article· en· W4409020858 on OpenAlexaff
Marco Pinter, Ping Ho

Bibliographic record

VenueLeonardo · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicArt Therapy and Mental Health
Canadian institutionsWestern University
Fundersnot available
KeywordsThe artsVisual artsArtMultimediaComputer scienceComputer graphics (images)Human–computer interaction

Abstract

fetched live from OpenAlex

Abstract Building on a foundation of interactive media arts, this paper explores the evolution from large-scale kinetic installations to a digital menta wellness platform, MindClay. The work was inspired by observing public interactions with the lead author’s installations, which showed calming and motivational effects. A media arts museum was founded in part to compare the impacts of different installations on well-being. n collaboration with therap MindClay integrates evidence-based practices into a range of creative activities. The platform offers diverse therapeutic experiences in visual art, music, movement, and writing. This approach provides an engaging alternative to meditation apps, addressing the mental health needs of a broader audience. Through this convergence of art, science, and technology, MindClay aspires to make therapeutic creativity widely accessible.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.931
Threshold uncertainty score0.669

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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.048
GPT teacher head0.311
Teacher spread0.263 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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
Published2025
Admission routes1
Has abstractyes

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