Consumer and product face-to-face : antecedents and consequences of spontaneous - face-schema activation
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.
Bibliographic record
Abstract
The concept of anthropomorphism is gaining in popularity in marketing and product design. Particularly in automotive design, the trend to develop cars whose fronts look like the human face is increasing (e.g., VW Beetle, Mini). But, in striving for product success, whether the mere morphological shape of a product’s design is sufficient to activate a human schema is, as yet, an unanswered question. In the context of marketing-mix activities, what specific contribution can anthropomorphic product design make to developing a product’s personality? To answer these questions, evidence on the psychological process which underlies anthropomorphizing is needed. Aggarwal and McGill (2007) recently proposed the schema-congruity theory to explain how anthropomorphism works, but their experimental approach left it open if consumers anthropomorphize products spontaneously when they see a human-like product (i.e., according to an automatic bottom-up process) or whether it has to be triggered externally.
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 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 | 0.000 | 0.000 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 it