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The basis of human-factors engineering the consideration of information about human users in the design of tools, machines, jobs, and work environments—has always been present.
Those bodies can retain some degree of autonomy during service delivery, often based on principles such as "localism" and the need to include service users in the design of public services.
The skills that are the focus of this research are the conversational competences deployed by architects to engage users in the design of an architectural project.
The OptEEmAL platform will aid users in the design of district energy retrofitting projects by automatically simulating scenarios and evaluating their performance by means of District Performance Indicators.
This article reports on a research project that set out to involve what was perceived as active and competent users in the design of feedback technologies.
It is assumed that strong participation of future users in the design of IS would lead to successful outcomes in terms of more IS usage, greater user acceptance, and increased user satisfaction.
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One approach to implementation research involves developing democratic partnerships between researchers and community stakeholders with a view to involving end-users in the design of research, promoting their understanding and capacity, and encouraging uptake of findings [ 5].
Over time, researchers have acknowledged the importance of understanding the users' strategies in the design of search systems.
The paper reports a study of the impact on user satisfaction and forecast accuracy of user involvement in the design of a forecasting decision support system (FDSS).
End-user input in the design of such tools is critical to increase clinical use.
We present a research agenda for exploring the tradeoffs between objective validity and user acceptance in the design of decision analysis tools.
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