Slow design : Creating long lasting consumer product relationships
Bibliographic record
Abstract
In their move towards a more sustainable society, many designers, manufacturers, and producers have thus far focused on reduced use of natural resources, or on the reuse of previously used materials. One other way to move towards a more sustainable future, however, is to motivate consumers to use their products for longer, and to motivate consumers to repair their products when necessary. In the current project, we delved into the question how consumers can be motivated to use their products for longer and to repair their products if necessary. Moreover, as extending the lifespan of products may have negative effects on the sales of designers, manufacturers, and producers, we also examined whether it would be possible to motivate consumers to extend the lifetime of their products in ways that can be considered economically viable for designers, manufacturers, or producers. To answer these research questions, we first conducted an extensive literature review. We searched for articles that had studied effects on consumer product lifetime extension, consumer product usage, or on consumer product repair. After screening through 477 scientific articles, we ended up with 36 relevant articles that examined factors influencing consumers’ product usage and product repair. To focus more on the question how designers, manufacturers and producers can motivate lifetime extension in economically viable ways, we also conducted two experiments. In both experiments, we studied the influence of lifetime extension-, repairability- and sustainability marketing strategies on consumer responses to a (fashion) product. In Experiment 1, the product concerned a trousers (jeans), and in Experiment 2 the product concerned a backpack. We measured consumers’ attitudes towards the product and the brand, consumers’ usage and repair intentions for the product, and consumers’ willingness to pay for the product. The findings reveal that….. Together, these findings provide multiple valuable suggestions on how to increase the lifespan of products, and whether this is possible in ways that can be considered promising for designers, manufacturers, and producers. Although future research is necessary, there certainly seems to be a future for the extension of product lifetimes.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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; both teacher heads agree on what is shown here.
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".