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Attitudes Towards Workplace Data Collection Among Factory Workers: Results from a Finnish Survey

  • Milla Immonen
  • , Satu Marja Mäkelä
  • , Eija Kaasinen
  • , Elina Annanperä
  • , Anna Rohunen
  • , Kari Hiekkanen
  • , Anu Hanna Anttila
  • , Pekka Siirtola*
  • *Corresponding author for this work
  • Lapland University of Applied Sciences
  • University of Oulu
  • Haaga-Helia University of Applied Sciences
  • Finnish Industrial Union

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

Abstract

This study examines the attitudes of factory workers’ towards the collection and use of data on the factory floor to support worker well-being. The study is based on a survey of 385 members of The Finnish Industrial Union who work as shop stewards or labor protection representatives. The survey was adapted from earlier study conducted for construction site workers [20]. Developing data-intensive solutions to improve work conditions, such as well-being and safety, requires increasing amounts of data collected from workers. The results of the study show that, in general, workers have positive attitudes towards collecting data on the factory floor. Workers are interested in their personal well-being and would like to obtain information about their physical strain, ergonomics, and emotional stress. However, respondents had concerns about unauthorized access to the data or the use of the information against them by the employer or colleagues. No statistically significant correlation was found between attitudes and work experience in years. The study suggests that involving workers in the decision-making process regarding data use is essential to increase acceptance. The study concludes that the introduction of new data-based technologies in factories requires open communication with workers, including clear explanations of the purposes of data collection and how the data will be used.

Original languageEnglish
Title of host publicationDigital Health and Wireless Solutions
Subtitle of host publicationIntegrating AI, LLMs and Multimodal Health Data for Next-Generation Decision Support - 2nd Nordic Conference, NCDHWS 2026, Proceedings Part 2
EditorsMariella Särestöniemi, Daljeet Singh, Erika Jarva, Jarmo Reponen
PublisherSpringer
Pages245-262
Number of pages18
ISBN (Print)9783032288189
DOIs
Publication statusPublished - 2026
MoE publication typeA4 Article in a conference publication
Event2nd Nordic Conference on Digital Health and Wireless Solutions, NCDHWS 2026 - Oulu, Finland
Duration: 16 Jun 202617 Jun 2026

Publication series

SeriesCommunications in Computer and Information Science
Volume3010 CCIS
ISSN1865-0929

Conference

Conference2nd Nordic Conference on Digital Health and Wireless Solutions, NCDHWS 2026
Country/TerritoryFinland
CityOulu
Period16/06/2617/06/26

Funding

This work was supported by the Business Finland, the national Finnish funding agency.

Keywords

  • acceptance
  • data collection
  • data-based technologies
  • factory floor
  • Factory work
  • well-being

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