Motivational Exploration of Explanations in Industrial Analytics

thesis Motivational Exploration of Explanations in Industrial Analytics published SK Valentin Grimm author 74000 Jonas Potthast author 81287 Jessica Rubart author 456720000-0003-0937-3551 DEP8008 department DEP5023 department 2023 IEEE 21st International Conference on Industrial Informatics (INDIN) Explainable AI (XAI) provides approaches and techniques for building trust in AI models. This paper presents and explores XAI approaches focusing on user interface concepts in predictive maintenance. The underlying AI model is based on an open dataset for wind turbines. An enhanced multi-class self-conceived labeling strategy improves the model and, thus, supports the XAI approaches. Previous research in user-centered XAI shows that users do not exploit the possibilities of XAI methods and instead rely on their intuition. To counter this tendency, we present user interfaces incorporating gamification elements to enhance understanding of AI outputs. We highlight our approach via two examples, demonstrating a local and a global XAI technique respectively. A preliminary user study was conducted to assess the value added by these gamification aspects. While the findings were inconclusive, they provided an initial insight into the potential of these design elements to foster user engagement in the realm of XAI. IEEE2023Lemgo eng XAIIndustrial AnalyticsMotivational ExplorationSHAP 2023 IEEE 21st International Conference on Industrial Informatics (INDIN)10.1109/INDIN51400.2023.10217864 1-6 Grimm, Valentin, Jonas Potthast, and Jessica Rubart. Motivational Exploration of Explanations in Industrial Analytics. 2023 IEEE 21st International Conference on Industrial Informatics (INDIN). IEEE, 2023. <a href="https://doi.org/10.1109/INDIN51400.2023.10217864">https://doi.org/10.1109/INDIN51400.2023.10217864</a>. V. Grimm, J. Potthast, J. Rubart, Motivational Exploration of Explanations in Industrial Analytics, IEEE, 2023. Grimm, Valentin, et al. “Motivational Exploration of Explanations in Industrial Analytics.” 2023 IEEE 21st International Conference on Industrial Informatics (INDIN), IEEE, 2023, pp. 1–6, <a href="https://doi.org/10.1109/INDIN51400.2023.10217864">https://doi.org/10.1109/INDIN51400.2023.10217864</a>. V. Grimm, J. Potthast, J. Rubart, Motivational Exploration of Explanations in Industrial Analytics, IEEE, 2023.

Grimm, Valentin ; Potthast, Jonas ; Rubart, Jessica: Motivational Exploration of Explanations in Industrial Analytics : IEEE, 2023

Grimm, Valentin, Jonas Potthast und Jessica Rubart. 2023. Motivational Exploration of Explanations in Industrial Analytics. 2023 IEEE 21st International Conference on Industrial Informatics (INDIN). IEEE. doi:<a href="https://doi.org/10.1109/INDIN51400.2023.10217864">10.1109/INDIN51400.2023.10217864</a>, .

V. Grimm, J. Potthast, and J. Rubart, Motivational Exploration of Explanations in Industrial Analytics. IEEE, 2023, pp. 1–6. doi: <a href="https://doi.org/10.1109/INDIN51400.2023.10217864">10.1109/INDIN51400.2023.10217864</a>. Grimm V, Potthast J and Rubart J (2023) Motivational Exploration of Explanations in Industrial Analytics. IEEE. Grimm, Valentin/Potthast, Jonas/Rubart, Jessica: Motivational Exploration of Explanations in Industrial Analytics, o. O. 2023. Grimm V, Potthast J, Rubart J. Motivational Exploration of Explanations in Industrial Analytics. 2023 IEEE 21st International Conference on Industrial Informatics (INDIN). IEEE; 2023. Grimm, V., Potthast, J., & Rubart, J. (2023). Motivational Exploration of Explanations in Industrial Analytics. In 2023 IEEE 21st International Conference on Industrial Informatics (INDIN) (pp. 1–6). IEEE. <a href="https://doi.org/10.1109/INDIN51400.2023.10217864">https://doi.org/10.1109/INDIN51400.2023.10217864</a> Grimm V, Potthast J, Rubart J. Motivational Exploration of Explanations in Industrial Analytics. IEEE; 2023:1-6. doi:<a href="https://doi.org/10.1109/INDIN51400.2023.10217864">10.1109/INDIN51400.2023.10217864</a> 107892023-11-21T08:31:08Z2026-07-02T19:41:22Z