ArticleData in brief2025
Dataset of worker perceptions of workforce robotics regarding safety, independence, job security, and privacy.
Article in Data in brief, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
With an aging blue-collar workforce spanning critical sectors such as construction, transportation and delivery, manufacturing, and warehousing, there is an increased need for collaborative workforce robots. Workers in these sectors are prone to lifting related workplace injuries that lead to a reduction in job longevity. Fear and perception of robotics is influenced by a broad range of demographic and socio-economic factors. In this paper we present a dataset consisting of 337 complete responses to a 40-question survey that we administered anonymously via Google Forms to blue-collar workers in Australia, Canada, United Kingdom, and United States of America working in six different job sectors, namely manufacturing, retail, transportation & delivery, warehousing, construction, and contract work. The questions range from worker demographics (7 questions), perceptions toward physical safety in the workplace (8 questions), perceptions toward working with human coworkers in the workplace (6 questions), perceptions toward working with robots (16 questions), and perceptions toward data privacy on robots (3 questions). The dataset will enable research on understanding worker concerns with sensing systems and data privacy in workforce robots and enable data informed recommendations on privacy and security preserving sensing systems on existing and future robots. The dataset will enable researchers to understand how workers perceive of robots of varying capabilities with regards to the worker's own perceptions of safety, independence, and job security. Researchers can also use the dataset to understand how barriers to safety in the workplace influence worker perceptions and understand how the existing blue-collar workforce views collaborations with other workers and robots. The dataset can also enable researchers to understand how perceptions of robotics is influenced by demographic factors, country of work, job sector, and workplace location.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.