Abstract
This contribution introduces HCD3A, a process model to guide and support the development of data-driven applications. HCD3A is a specialized human-centered design (HCD) process model derived from and based on the ISO 9241-210 standard. In order to test the suitability of the HCD3A process model a prototype of a machine learning (ML) application is developed along this process. This application is integrated in a learning management system and tailored to the needs of computer science students in an online learning context. The learning application uses an ML approach to support students in their learning behavior by helping them to avoid procrastination and motivating them for assignments and final exams. This is e.g. done by predicting the students exam success probability. The most important claim in regard to the ML components was explainability. Although the evaluation of the prototype in regard to the suitability of HCD3A has not been completed the first results show that it is promising in particular to make ML applications more transparent for the users.
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Notes
- 1.
A (non-ML) SW engineer is usually able to explain why the system does what it does (and is usually proud of it – explainability). An ML engineer is usually already satisfied if the chosen ML algorithm is able to successfully predict the desired outcome (interpretability).
- 2.
VFH stands for (German) Virtuelle Fachhochschule (Virtual University of Applied Sciences). An association of universities of applied sciences in German-speaking countries that jointly offer online degree programs.
- 3.
The provider of the technical infrastructure for the VFH.
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Weigand, A.C., Kindsmüller, M.C. (2021). HCD3A: An HCD Model to Design Data-Driven Apps. In: Degen, H., Ntoa, S. (eds) Artificial Intelligence in HCI. HCII 2021. Lecture Notes in Computer Science(), vol 12797. Springer, Cham. https://doi.org/10.1007/978-3-030-77772-2_19
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