Testing a digital <scp>self‐interview</scp> approach: The virtual memory assistance tool
Bibliographic record
Abstract
Abstract Technology‐mediated interviews are a promising supplement to in‐person interviews for questioning eyewitnesses. We sought to develop and test a virtual self‐administered memory‐elicitation procedure—The virtual memory assistance tool (VMAT). The VMAT is a web‐based memory retrieval tool designed around the principles of the Cognitive Interview. In Experiments 1 and 2, participants ( N = 135, N = 127) watched a target video and then received either VMAT or Control instructions, reporting their memory either by Typing into a textbox or Speaking into their device's microphone. In Experiments 3 and 4, participants ( N = 89, N = 78) watched a target video and then received either VMAT or Control instructions presented in either Audio or Video format. Our findings suggest that a virtual tool for memory elicitation seems effective independent of Interview Procedures, Response Modalities, and Instruction Modalities and across differing target stimuli (mock‐crime vs. content of a sexual nature).
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How this classification was reachedexpand
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.002 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".