Ergonomists’ and Engineers’ Views on the Utility of Virtual Human Factors Tools
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
Abstract A qualitative research study was conducted through explorative workshops to better understand the experiences, perceptions, needs, and expectations of the users and potential users of virtual human factors (VHF) tools. Five VHF tools were presented to ergonomists, engineers, and managers who participated in four whole‐day interactive workshops: HF enabled predetermined motion time systems (PMTS), discrete event simulation (DES), complex and simple digital human models (DHM), and virtual reality (VR). Data were collected by note‐takers, digital audio recording, and written feedback. Identified characteristics shared by the tools were organized into 9 categories that act as a motivational or deterring factor for the use of the tool: time, cost, training, difficulty of use, trustworthiness, graphics, flexibility, usefulness, and report presentation. Other tool specific areas of improvement were also identified by participants to help developers improve these design instruments.
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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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