Integrated design of function, usability, and aesthetics for automobile interiors: State of the art, challenges, and solutions
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
This paper presents a critical review of aesthetic design with a focus on the application of vehicle interiors. In particular, the following aspects of the subject are covered: first, aesthetics and its relevance to product design; second, the integrated aesthetic design process; third, the evaluation of aesthetic responses; fourth, the notion of intelligent vehicle interiors; fifth, the computational methods for aesthetic design. Shortcomings in existing studies related to vehicle aesthetic design are identified and analysed. The methodology employed to conduct this review is such that a set of questions important to these aspects are defined first, and then existing studies are analysed on the basis of their provision of answers to these questions. At the end, several ideas are proposed, which are brought together as a software environment, with the goals of overcoming these identified shortcomings and advancing the automobile interior aesthetic design technology.
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 | 0.001 | 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 | 0.000 |
| 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