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Record W3173635594 · doi:10.1145/3450741.3466633

Interfacing & Embodiment: ”Baby Tango” Dancing Robot Attempts to Communicate

2021· article· en· W3173635594 on OpenAlex
Assem Kroma, Ali Mazalek

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

VenueCreativity and Cognition · 2021
Typearticle
Languageen
FieldComputer Science
TopicInnovative Human-Technology Interaction
Canadian institutionsToronto Metropolitan UniversityCarleton University
Fundersnot available
KeywordsInterfacingRobotHuman–computer interactionFocus (optics)Computer scienceWearable computerThe artsHaptic technologyMultimediaArtificial intelligenceVisual artsArtEmbedded system

Abstract

fetched live from OpenAlex

For decades, robotic arts and dancing robots have been the focus of many research studies and artistic experiments. They started in the early 1920s and began realizing some of their potential as technology advanced in the last decade. This paper presents observations on the current state of the art in dancing robots, wearable haptics, and other theoretical frameworks; then proposes a prototype "Baby Tango" as an artistic experience, based on these observations. This experience reflects on the idea of interfacing and embodiment and their potential effects on the future of human-robot interactions by exploring new means of verbal and non-verbal communication with robots.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.406
Threshold uncertainty score0.576

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 science0.0000.001
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 head0.054
GPT teacher head0.311
Teacher spread0.257 · 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