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Digital Transformation, Smart Factories, and Virtual Design: Contributions of Subject Orientation
(2018)
Proactive behaviour of in-vehicle voice assistants is seen as key to develop increasingly intelligent and interactive systems. One of the main questions for proactive voice assistants is when opportune moments for engaging the user are. We present a driving simulator study (N = 32) investigating different situations of proactive interaction during an automated ride. Based on previous findings for opportune moments of interaction during manual driving, the study’s focus is on evaluating the influence of driving situations and the performance of a non-driving related activity (NDRA) on the opportuneness of a proactive interaction. The quantitative and qualitative findings show that most situations do not impact the opportuneness of a proactive interaction during an automated ride. However, an extreme traffic situation with an approaching emergency vehicle is considered as inopportune. Travel time and the current state of the user should also be considered for the selection of an opportune moment. A validation of the results in a real road driving study is planned.
Modelability of processes is a recognized and important characteristic of any modeling language. Nevertheless, it is not always purposeful or easy to create process models for every kind of workflow. This article discusses the opportunities and limitations of modeling agile development projects with SCRUM as an example. For this purpose, a BPMN and an S-BPM model for SCRUM are presented. The discussion along recognized rules for good process models shows that both notations provide possible and accurate insights into the process of SCRUM on the one hand. On the other hand, the models raise questions of necessity, added value, and relevance in practice. Practitioners can use the developed models to technically implement agile project management, while researchers benefit from a discourse on opportunities and limitations of modeling agility.