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Record W1993099038 · doi:10.1145/2317956.2318017

<i>Sonic Cradle</i>

2012· article· en· W1993099038 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPsychology
TopicMindfulness and Compassion Interventions
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsSoundscapeMindfulnessMeditationImmersion (mathematics)Computer scienceConceptual designHuman–computer interactionPsychologyAcousticsPsychotherapist

Abstract

fetched live from OpenAlex

Sonic Cradle is a chamber of complete darkness where users shape a peaceful soundscape using only their respiration. This interactive system was designed to foster a meditative experience by facilitating users' sense of immersion while following a specific attentional pattern characteristic of mindfulness. The goal of Sonic Cradle is twofold: first, to trigger the proven effects of mindfulness on stress, and second, to help teach and demystify the concept of meditation for users' long-term benefit. This paper presents the design phase of the project, starting by theoretically grounding the initial concept. We then discuss 15 co-design sessions which provided informal conceptual validation and led to several concrete design iterations aimed at balancing users' perceived sense of control. The presented approach to designing an interactive stress management system can be considered research through design, as it also resulted in a novel theoretical framework for the psychology of media immersion which has implications for a wide range of research areas.

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.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.829
Threshold uncertainty score0.991

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)0.3290.010

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 head0.046
GPT teacher head0.355
Teacher spread0.309 · 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

Quick stats

Citations135
Published2012
Admission routes1
Has abstractyes

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