MétaCan
Menu
Back to cohort
Record W2965999240 · doi:10.22215/etd/2018-12928

Investigation of a Generative Design Method that Enhances the Architectural Design of a Healthcare Facility Using a Qualitative Research Method

2018· dissertation· en· W2965999240 on OpenAlexaff
Lydia Awad

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldComputer Science
TopicInnovative Human-Technology Interaction
Canadian institutionsCarleton University
Fundersnot available
KeywordsArchitectureProcess (computing)Architectural designHealth careQualitative researchDesign methodsComputer scienceUser-centered designEngineeringUser experience designKnowledge managementArchitectural engineeringHuman–computer interactionGeographySociology

Abstract

fetched live from OpenAlex

The main aim of this thesis is to study how employing a user-centric approach in architecture can affect the designers understanding of their requirements. It particularly focuses on a qualitative research using a human centred design (HCD) approach in a health care facility located in Petawawa, as an example. Whilst HCD has been applied in Industrial Design for years, architects claim to shape people's lives, yet the user is often not involved in the design process. The challenge faced translates to "how the application of an HCD approach can possibly be applied in an architectural project?" by proposing a method for architects to use, using three co-creation tools. Employing an HCD approach may decrease the gap between architects and users due to the end users hidden and unmet needs being identified, resulting in a user-centric design.

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.

How this classification was reachedexpand

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)0.017
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.372
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0170.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.507
GPT teacher head0.558
Teacher spread0.052 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreMethods

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2018
Admission routes1
Has abstractyes

Explore more

Same topicInnovative Human-Technology InteractionFrench-language works237,207