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Record W2084140483 · doi:10.1080/0144929x.2011.563799

Adding user experience into the interactive service design loop: a persona-based approach

2011· article· en· W2084140483 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

VenueBehaviour and Information Technology · 2011
Typearticle
Languageen
FieldComputer Science
TopicPersona Design and Applications
Canadian institutionsConcordia University
Fundersnot available
KeywordsPersonaUSableHuman–computer interactionService designService (business)Computer scienceUser experience designUser interfaceInteraction designInterface (matter)World Wide WebService delivery framework

Abstract

fetched live from OpenAlex

Approaches to service design share human–computer interaction's (HCI's) commitment to developing with and for people useful, usable and accessible services. However, there has been little explicit interaction between the emerging service sciences and the interaction design communities. This article explores HCI's actual position and opportunities to service design and requirements and vice versa. We propose a design framework for service-oriented interactive systems integrating the concept of persona. This enables to extract relevant elements towards deriving the design of the main functionalities of the user interface. This framework is applied to a case study of the e-maintenance of an agro-alimentary group.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.809
Threshold uncertainty score0.339

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0010.000
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 head0.033
GPT teacher head0.246
Teacher spread0.213 · 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