Applying the Double Diamond Model to Enhance Service Design in Urban Family Kitchens
Bibliographic record
Abstract
This study aimed at the service design defects of the Urban family kitchen, based on the strategy of the double diamond model, to explore the design practice.Problem statement: Diverse intelligent family kitchen products frequently focus on specific pain points, while existing research lacks a systematic approach to family kitchen service design.To enhance the operational efficiency, safe, comfortable, and emotional experiences of kitchen users, and improve the service system of urban family kitchens.This study employs the double diamond model to explore kitchen service design.A stratified sampling method was used to select 2 kitchen novices, 2 home chefs, and 2 kitchen experts each.Data information was collected through observations, interviews, and brainstorming sessions with them.The KJ method and user journey mapping are utilized to analyze user behavior, motivation, and kitchen product usage requirements.This research identifies kitchen user needs mainly encompassing food processing, storage, cleaning, and emotional aspects.Analyzing system functions and background actions provides a valuable reference for the design of intelligent and socially oriented kitchen service systems.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".