Abstract
Transcribed text from simulated hazards contains important content relevant for preventing harm. By capturing and analysing the content of speech when people raise (safety voice) or withhold safety concerns (safety silence), communication patterns may be identified for when individuals perceive risk, and safety management may be improved through identifying potential antecedents. This dataset contains transcribed speech from 404 participants (nstudents = 377; nfemale = 277, Age M(sd) = 22.897(5.386)) engaged in a simulated hazardous scenario (walking across an unsafe plank), capturing 18,078 English words (M(sd) = 46.117(37.559)). The data was collected through the Walking the plank paradigm (Noort et al, 2019), which provides a validated laboratory experiment designed for the direct observation of communication in response to hazardous scenarios that elicit safety concerns. Three manipulations were included in the design: hazard salience (salient vs not salient), responsibilities (clear vs diffuse) and encouragements (encouraged vs discouraged). Speech between two set timepoints in the hazardous scenario was transcribed based on video recordings and coded in terms of the extent to which speech involved safety voice or safety silence. Files contain i) a .csv containing the raw data, ii) a .csv providing variable description, iii) a Jupyter notebook (v. 3.7) providing the statistical code for the accompanying research article, iv) a .html version of the Jupyter notebook, v) a .html file providing the graph for the .html Jupyter notebook, vi) speech dictionaries, and vii) a copy of the electronic questionnaire. The data and supplemental files enable future research through providing a dataset in which participants can be distinguished in terms of the extent to which they are concerned and raise or withhold this. It enables speech and conversation analyses and the Jupyter notebook may be adapted to enable the parsing and coding of text using provided, existing and custom dictionaries. This may lead to the identification of communication patterns and potential interventions for unmuting safety voice. This data-in-brief is published alongside the research article: M. C. Noort, T.W. Reader, A. Gillespie. (2021). The sounds of safety silence: Interventions and temporal patterns unmute unique safety voice content in speech. Safety Science.
Highlights
Transcribed text from simulated hazards contains important content relevant for preventing harm
By capturing and analysing the content of speech when people raise or withhold safety concerns, communication patterns may be identified for when individuals perceive risk, and safety management may be improved through identifying potential antecedents
The data was collected through the Walking the plank paradigm (Noort et al, 2019), which provides a validated laboratory experiment designed for the direct observation of communication in response to hazardous scenarios that elicit safety concerns
Summary
Social Sciences: Safety Research Safety silence and muted safety voice in response to simulated hazards in laboratory experiments Table Image Statistical code Laboratory experiment using video observation and follow-up questionnaire. The dataset is of relevance because it contains unique speech data in which participants are ascertained to raise or withhold safety concerns within a standardised scenario. This type of data has not been made available before and enables new interventions to improve safetyrelated communication. Novel interventions may be designed by employing conversation or speech analysis to uncover consistent safety themes in speech or situational variables that mute talk about safety It the Jupyter files and dictionaries may be adapted to investigate safety voice in other scenarios such as those posing real risks
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