In today’s digital economy, Information Systems (IS) are a significant investment for companies and constitute an indispensable part of employees daily work . Due to technological developments such as multi-media-rich user interfaces, IS are increasingly able to induce highly engaging, interactive, and holistic experiences . One such experience called flow - defined as “the holistic sensation that people feel when they act with total involvement” [2, p. 36] - is considered to be of theoretical and practical significance as this phenomenon is expected to explain a considerable amount of well-being and performance at work [3–5].
However, despite increasing interest of IS scholars in flow , a central challenge is the limited knowledge about real-time measurement. Researchers typically rely on self-report scales which are administered post-task (e.g., [7, 8]). As flow occurs during task execution, post-task self-reported measures cannot assess parameters like the length or depth of flow during task execution, and are subject to reporting inaccuracies . The recent rise of the NeuroIS field with the inclusion and development of psychophysiological measures therefore provides new possibilities for objective and continuous measurements of psychological constructs in the context of IS [10, 11]. Especially towards flow in IS use, the benefit of increasingly reliable measurement [12, 13], but also the design of psychophysiologically adaptive IS  have been outlined. While previous research on flow-adaptive IS has mainly focused on structured tasks (e.g. gaming and learning [15, 16]) where difficulty levels can be adjusted on the system side, future systems could be extended to more open tasks in business contexts like those of knowledge workers (e.g., software engineers, designers, scientists) through integration of mechanisms that reduce flow-interruptions.
Goal of the Thesis
- Create a running prototype
- Create a real-time dashboard to visualize the retrieved data
- Evaluate your prototype rigorously
- Very good time management and self-organization skills
- Very good development skills (python is the preferred language, but all other languages are also possible)
- Interest in hardware like the empatica (https://www.empatica.com/e4-wristband) is beneficial
- Good english skills (as the language of the thesis is english)