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Context Modeling for the Adaption of Mobile Business Processes – An Empirical Usability Evaluation

Julian Dörndorfer () and Christian Seel
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Julian Dörndorfer: University of Applied Sciences Landshut
Christian Seel: University of Applied Sciences Landshut

Information Systems Frontiers, 2022, vol. 24, issue 1, No 11, 195-210

Abstract: Abstract Nowadays, the Internet of Things (IoT) and mobile devices are ubiquitous. Both, the IoT and mobile devices contain sensors and thus can provide data about the device’s environment. The sensor data can be used to infer the current context. However, for this purpose, the sensor data have to be aggregated. In this aggregation process, several different sensors and data provided by other sources, such as databases, can be used. In order to facilitate this, the paper presents a modeling language for context modeling based on sensors. Moreover, a detailed usability evaluation of the presented context modeling language is shown. This evaluation is based on three hypotheses regarding learnability, time expenditure and effectiveness. An experiment involving an experimental group and a control group was conducted to test these three hypotheses, and the results were interpreted.

Keywords: Context modeling; Context-awareness; Business process management; Domain-specific modeling language (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s10796-020-10073-w

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