Empirical data on design processes have been obtained from protocol analyses of six interior designers solving an interior space-planning problem through media transition.
But instead of simply producing a fake Aygo, engineers at CH-Auto first studied and tested the car and its components — often with the help of three-dimensional digital scanners — to collect data on design and performance.
Empirical data on design processes were obtained from a set of protocol studies of nine experienced industrial designers, whose designs were evaluated on overall quality and on a variety of aspects including creativity.
Data on design, construction, usage, operation and performance of the pit latrines was collected by interviews, observations and measurements; and analysed by descriptive statistics, bi-variate analysis and logistic regression.
In March of 2009, the former top visual designer at Google made a very public break over the infusion (imposition?) of data on design.
In addition, we extracted data on design, place of study, number of participants, population characteristics (including initial BP, sex, and age), dietary assessment method (food frequency questionnaire (FFQ), 24-hour recall, food diary, biomarker), adjustment for confounders, and measures of variation.
Three reviewers abstracted the data independently, including data on design characteristics, the study population, the intervention, outcome measures used, and length of follow-up.
The first reviewer (ZT) extracted data on design, population, implementation strategies, and outcomes and studies were subject to further critical appraisal by two other authors (EI, MJ).
The second data source (designed on Excel 2003; Microsoft, Redmond, WA, USA) comprised data on all patients admitted to the 2 ELWA ETUs (ELWA1 and ELWA2).
8, 14– 16 Based on these data, we designed an adjuvant trial in 2007.
