Sounds of silence: Data for analysing muted safety voice in speech.

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 (n_students = 377; n_female = 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 provid

SUBMITTER: Noort MC 

PROVIDER: S-EPMC8182378 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature