Open Access
Peer-Reviewed
Original Research
Life at Risk – an Empirical Investigation of the Design of Workplaces in Control Rooms
Abstract
Control rooms for supervising traffic or emergency situations are increasingly introduced in companies and other governmental organisations. Employees of safety-critical workplaces have to deal with a large amount of problems every day: Quick decision -making, coping with an overload of infor mation and stress are the most important. Designing appropriate workplaces for emplo yees in such organisations is essential. The following paper describes the results of an investigation in two companies with control rooms. Results indicate that the systems deployed in such control rooms support the operators efficiently. Stress is a more important influencing factor. We could not find any significant gender effects concerning the design of workplaces in control rooms.
Keywords
Interface Design
Gender
Evaluation
Large Screens
Decision Making
Declarations & Ethics
Funding:
This research received academic dissemination support through ESCAP / JournalsHub publishing programs.
Conflicts of Interest:
The authors declare no competing financial or institutional interests.
Peer Review:
Double-blind peer reviewed by international subject specialists.
License:
Creative Commons Attribution 4.0 International (CC BY 4.0).
How to Cite This Article
APA / MLA / BibTeX
Pohl, et al. (2018). Life at Risk – an Empirical Investigation of the Design of Workplaces in Control Rooms. IADIS International Journal on Computer Science and Information Systems, 13(1). https://doi.org/10.33965/ijcsis_2018_v13i1_06
Pohl, et al. "Life at Risk – an Empirical Investigation of the Design of Workplaces in Control Rooms." IADIS International Journal on Computer Science and Information Systems, vol. 13, no. 1, 2018. https://doi.org/10.33965/ijcsis_2018_v13i1_06
Pohl, et al. "Life at Risk – an Empirical Investigation of the Design of Workplaces in Control Rooms." IADIS International Journal on Computer Science and Information Systems 13, no. 1 (2018). https://doi.org/10.33965/ijcsis_2018_v13i1_06