Optimal Visualization Aids and Temporal Framing for New Products
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
Conventional wisdom suggests that more concrete and detailed information is helpful in evaluating new products. The current research, however, demonstrates that when consumers use visualization to evaluate new products, the value of concrete versus abstract visualization is dependent on the temporal perspective taken by the consumer. Specifically, concrete information is beneficial when product visualization is retrospective in nature (i.e., focused on the past), whereas abstract information is found to be more helpful when product visualization is anticipatory in nature (i.e., geared toward the future). This occurs because the match between visualization aids and consumers' temporal construal facilitates the extent of imagery processing realized, which, in turn, enhances new product evaluation. When the new product is very difficult to visualize, this pattern of effects is attenuated. Further, the effect is reversed when the product is highly familiar (i.e., not a new product), as preexisting memories are shown to hinder imagery processing. Theoretical and practical implications are discussed.
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 | 0.003 | 0.001 |
| 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 | 0.000 |
| 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 it