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Record W2133154036 · doi:10.1109/agile.2008.54

Stories, Sketches, and Lists: Developers and Interaction Designers Interacting Through Artefacts

2008· article· en· W2133154036 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
FieldComputer Science
TopicSoftware Engineering Techniques and Practices
Canadian institutionsCarleton University
Fundersnot available
KeywordsContradictionAgile software developmentComputer scienceResolution (logic)Process (computing)Grounded theoryInteraction designWork (physics)Human–computer interactionKnowledge managementWorld Wide WebSociologyQualitative researchSoftware engineeringEngineeringEpistemologyArtificial intelligence

Abstract

fetched live from OpenAlex

Agile development places a strong emphasis on interaction and collaboration between people. In this paper, we present a study of collaboration between user interaction designers and developers, with a particular emphasis on the role of artefacts in the process. Our research method is an ethnographic study of a team at work, followed by the application of several kinds of qualitative analysis: activity system analysis, interaction analysis, grounded theory, and contradiction analysis. Each of these analyses yields results that inform an understanding of artefact-mediated collaboration. In particular, we find that both sketches and design stories have critical roles, that these artefacts support creation and reflection, facilitate resolution of contradiction, and also work at a level of consciousness that is below the level of self-awareness.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.786
Threshold uncertainty score0.449

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 communication0.0000.002
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 head0.072
GPT teacher head0.299
Teacher spread0.227 · 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