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Record W2119552352 · doi:10.1145/1142405.1142448

ec(h)o

2006· article· en· W2119552352 on OpenAlex
Ron Wakkary, Marek Hatala

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicInteractive and Immersive Displays
Canadian institutionsSimon Fraser University
FundersCanarie
KeywordsSituatedHuman–computer interactionInterface (matter)Computer scienceInterface designKey (lock)Augmented realityUser interfaceUser experience designObservational studyEthnographyInteraction designOrder (exchange)MultimediaArtificial intelligenceSociology

Abstract

fetched live from OpenAlex

In this paper we discuss an adaptive museum guide prototype in which playfulness is a key design goal for the interaction experience. The interface for our prototype is a combined tangible user interface and audio display. We discuss how we determined the specific requirements for play through an ethnographic study and analysis based on ecological concepts of Bell and Nardi & O'Day. We found that we could consider play in two main forms in regard to the interface: content and physical play. We also found that play is highly contextual. Designers need to consider the situated nature of play for two reasons: 1) to best serve the overall design purpose; 2) in order to understand the nature and degree of play required. We augmented traditional user experience evaluation methods of questionnaires and interviews with observational analysis based on Djajadiningrat's descriptions of aesthetic interaction.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.980
Threshold uncertainty score0.877

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)0.0000.001

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 head0.004
GPT teacher head0.203
Teacher spread0.199 · 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

Citations40
Published2006
Admission routes2
Has abstractyes

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