Autonomous Vehicles Acceptance: A Perceived Risk Extension of Unified Theory of Acceptance and Use of Technology and Diffusion of Innovation, Evidence from Tehran, Iran
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 research integrates Unified Theory of Acceptance and Use of Technology (UTAUT) (Performance Expectancy [PE], Effort Expectancy [EE], and Social Influence) with Diffusion of Innovation Theory (TRialability [TR] and OBservability [OB]) as well as Perceived Risk (PR) to identify a wider set of latent factors affecting acceptance of fully automated AVs. Although research on AVs acceptance has been conducted in developed countries, it is a rather new topic in developing countries, where it has only been introduced as a promising technology to come. Structural equation modeling on stated preference surveys data of 641 Tehran residents in 2019 justifies the proposed integration of two theories and PR. Only PR shows an expected negative sign (−0.2); Among UTAUT variables, PE (0.33) and EE (0.25) were the most and least influential factors, respectively. Regression weights of DOI-related variables show that TR (0.17) and OB (0.16) have almost equal effect.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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