Beyond User-Centered Design: Applicable Concepts from Complementary Approaches
Bibliographic record
Abstract
In human factors, and especially in the area of computer system design, practitioners often employ a design approach or design philosophy called user-centered design (UCD). This paper provides an introduction to three complementary approaches (Quality Function Deployment, Front End Loading, and Service-Oriented Project Management) that originated in different domains and are primarily used by business development and project management. These approaches are then compared to UCD to determine whether UCD practitioners may be able to complement these approaches as well as incorporate new perspectives, strategies, or principles to enhance their application of UCD in system design. The principles from these other approaches may provide UCD practitioners with guidance to create a more robust approach to incorporating the human element into system design, and the tools and methodologies that accompany each approach could enhance UCD practices in the future.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.038 | 0.028 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.008 | 0.005 |
| Science and technology studies | 0.003 | 0.041 |
| Scholarly communication | 0.018 | 0.018 |
| Open science | 0.005 | 0.012 |
| Research integrity | 0.007 | 0.009 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".