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Record W1917182735 · doi:10.1002/acp.2952

Background Sound Impairs Interruption Recovery in Dynamic Task Situations: Procedural Conflict?

2013· article· en· W1917182735 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueApplied Cognitive Psychology · 2013
Typearticle
Languageen
FieldDecision Sciences
TopicPersonal Information Management and User Behavior
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsDistractionTask (project management)PsychologyCognitive psychologyStressorFixation (population genetics)AudiologyNeuroscienceMedicine

Abstract

fetched live from OpenAlex

Summary Interruptions impair performance even on simple, static, laboratory‐based tasks, but little research has looked at their impact in more complex and realistic settings that involve dynamically evolving circumstances and other environmental stressors. Using a radar operator task with or without background sound, participants were unexpectedly interrupted to complete another task, which masked the radar screen as the scenario continually evolved. Task efficiency was impaired by interruption: decision‐making time was slower immediately following interruption, this cost being greater and persevered longer in the presence of auditory distraction. Resumption time was also increased with distraction. Eye fixation durations were shorter following interruption, reflecting participants' attempts to rapidly re‐encode and update their model of the situation. These results suggest that those processes involved in task resumption are also susceptible to background sound, and indicate a need for theories of task interruption to better specify the role of attention in interruption recovery. Copyright © 2013 John Wiley & Sons, Ltd.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.884
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.010

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 head0.241
GPT teacher head0.472
Teacher spread0.230 · 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