Development of mobile data collection applications by domain experts: Experimental results from a usability study

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Abstract

Despite their drawbacks, paper-based questionnaires are still used to collect data in many application domains. In the QuestionSys project, we develop an advanced framework that enables domain experts to transform paper-based instruments to mobile data collection applications, which then run on smart mobile devices. The framework empowers domain experts to develop robust mobile data collection applications on their own without the need to involve programmers. To realize this vision, a configurator component applying a model-driven approach is developed. As this component shall relieve domain experts from technical issues, it has to be proven that domain experts are actually able to use the configurator properly. The experiment presented in this paper investigates the mental efforts for creating such data collection applications by comparing novices and experts. Results reveal that even novices are able to model instruments with an acceptable number of errors. Altogether, the QuestionSys framework empowers domain experts to develop sophisticated mobile data collection applications by orders of magnitude faster compared to current mobile application development practices.

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APA

Schobel, J., Pryss, R., Schlee, W., Probst, T., Gebhardt, D., Schickler, M., & Reichert, M. (2017). Development of mobile data collection applications by domain experts: Experimental results from a usability study. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10253 LNCS, pp. 60–75). Springer Verlag. https://doi.org/10.1007/978-3-319-59536-8_5

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