Guiding technology development and transition into products responsive to end-user needs

Author(s):  
E.A. Young
2009 ◽  
Vol 17 (3) ◽  
pp. 333-334 ◽  
Author(s):  
David Edwards
Keyword(s):  

2019 ◽  
Author(s):  
Els Van Uytven ◽  
Jan De Niel ◽  
Patrick Willems

Abstract. In recent years many methods for statistical downscaling of the climate model outputs have been developed. Each statistical downscaling method (SDM) has strengths and limitations, but those are rarely evaluated. This paper proposes an approach to evaluate the skill of SDMs for the specific purpose of impact analysis in hydrology. The skill is evaluated by the verification of the general statistical downscaling assumptions, and by the perfect predictor experiment that includes hydrological impact analysis. The approach has been tested for an advanced weather typing based SDM and for impact analysis on river peak flows in a Belgian river catchment. Significant shortcomings of the selected SDM were uncovered such as biases in the frequency of weather types and non-stationarities in the extreme precipitation distribution per weather type. Such evaluation of SDMs becomes of use for future tailoring of SDM ensembles to end user needs.


Author(s):  
Sara Goering ◽  
Eran Klein

Neurotechnologies under development are often explicitly justified in terms of the advantages they will provide to disabled people. Thus, it would seem important to know what disabled people want from current and future iterations of these technologies and how they experience the functional barriers the technologies are meant to address. Ensuring that disabled people want what is designed requires attention to “end user” needs and values. The paradigmatic form of end user input in device design focuses on device acceptability, usually happens late in the development process, and is oriented to economic viability. But seeking out and taking seriously the perspectives of disabled people (potential end users) should be grounded at least in part by considerations of justice, including both distribution and recognition.


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