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Record W4387380782 · doi:10.1139/dsa-2023-0032

Effects of incremented auditory feedback on remote vehicle operator task performance

2023· article· en· W4387380782 on OpenAlex
Matthew J. M. Dunn, Brett R. C. Molesworth, Tay T.R. Koo, Gabriël Lodewijks

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueDrone Systems and Applications · 2023
Typearticle
Languageen
FieldPsychology
TopicHuman-Automation Interaction and Safety
Canadian institutionsnot available
FundersUniversity of New South WalesAustralian Government
KeywordsWorkloadTask (project management)Computer sciencePerceptionOrientation (vector space)Auditory feedbackSituation awarenessAuditory systemHuman–computer interactionSimulationPsychologyCognitive psychologyEngineering

Abstract

fetched live from OpenAlex

Remote vehicle operators (RVO) work in a sensory-deprived environment. A reduction or absence of sensory cueing like auditory feedback, combined with variable workload, has been attributed to a number of remotely piloted aircraft (RPA) accidents. Therefore, this research sought to understand the relationship between workload and dynamic auditory feedback on RVO task performance. Twenty-four participants completed a counterbalanced series of decision-making (spatial orientation accuracy) and perception (spotting accuracy) tasks in an automated beyond visual line of sight environment, under varying workload and auditory volume levels. The management style employed by participants in dealing with the auditory information was also measured and compared with decision-making performance. A relative decline in spatial orientation accuracy was evident when auditory feedback was considered “soft” or “loud” (±10 dBA) compared with a participant-defined comfortable volume level, but contingent on an adequate level of workload experienced concurrently. From an applied perspective, these findings support the inclusion of adaptive auditory systems in future Remotely Piloted Aircraft Systems (RPAS) designs.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.336
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.002

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.

Opus teacher head0.013
GPT teacher head0.304
Teacher spread0.291 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it