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Record W1969652004 · doi:10.1002/cav.129

A Wizard‐of‐Oz platform for embodied conversational agents

2006· article· en· W1969652004 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

VenueComputer Animation and Virtual Worlds · 2006
Typearticle
Languageen
FieldPsychology
TopicSocial Robot Interaction and HRI
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsComputer scienceHuman–computer interactionFlexibility (engineering)Embodied agentEmbodied cognitionProtocol (science)ArchitectureRapid prototypingWizardSoftware engineeringArtificial intelligenceWorld Wide Web

Abstract

fetched live from OpenAlex

Abstract A low‐cost prototyping environment for experimenting with embodied conversational agents is discussed. The platform allows modeling and experimenting with different agent constructs and protocols prior to significant investment in the construction of the agent environment. Problems in the design of such a platform include the substantial number of agent controls needed and the flexibility required to represent the constructs of different theories, protocols and target environments as they are introduced and developed. These problems are addressed by augmenting a movie clip manager with a general drawing palette as a design tool. The result is a prototyping environment which simulates multiple agents on a desktop while allowing arbitrary notational conventions. The current version does not render multiple agents in a shared virtual environment, but the protocol‐based architecture is amenable to such extensions. In the meantime, valuable results regarding the social character of multiple agent interaction can be explored with the existing tool. Copyright © 2006 John Wiley & Sons, Ltd.

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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.808
Threshold uncertainty score1.000

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 head0.345
Teacher spread0.296 · 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