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Record W2031357062 · doi:10.1145/1873951.1874225

Exploring touch and breath in networked wearable installation design

2010· article· en· W2031357062 on OpenAlexaff
Thecla Schiphorst, Jinsil Hwaryoung Seo, Norm Jaffe

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicInnovative Human-Technology Interaction
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsInteractive artWearable computerEmbodied cognitionHuman–computer interactionInteraction designComputer scienceMateriality (auditing)Context (archaeology)Wearable technologyMultimediaSmartwatchPoeticsAestheticsArtArtificial intelligencePoetry

Abstract

fetched live from OpenAlex

This paper describes the artistic design concepts for the interactive wearable artworks tendrils and exhale exhibited at ACM Multimedia 2010 Interactive Art Program in Firenze Italy at the at the Palazzo Medici-Riccardi from 25 October through 6 November, 2010. These wearable art works are based in artistic exploration influenced by the somatic turn: an approach to designing for experience using body based practices that highlight the concept of somaesthetics as an approach to the design of expressive interaction. The interactive wearable art installations tendrils and exhale emphasize the experience of self-observation, poetics, materiality, and computational semantics that support sensory input such as touch and breath. In the context of interaction, somaesthetics offers a bridging strategy between embodied practices based in somatics, and the design for an aesthetics of interaction in wearable technology. These artworks illustrate the value of exploring artistic design strategies that employ a somaesthetic approach, and exemplify this approach in the design of a networked, wearable interactive art.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.692
Threshold uncertainty score0.257

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 communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.101
GPT teacher head0.268
Teacher spread0.167 · 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 designSimulation or modeling
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

Citations5
Published2010
Admission routes1
Has abstractyes

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