AI Bibliography |
Gusenleitner, N., Siedl, S., St"ubl, G., Polleres, A., Recski, G., & Sommer, R., et al.. 2019, Facing mental workload in ai-transformed working environments. Paper presented at H-Workload 2019: 3rd International Symposium on Human Mental Workload: Models and Applications (Works in Progress). |
Resource type: Proceedings Article BibTeX citation key: Gusenleitner2019 View all bibliographic details |
Categories: Artificial Intelligence, Cognitive Science, Decision Theory, Engineering, General Subcategories: Augmented cognition, Decision making, Human decisionmaking, Human factors engineering, Psychology of human-AI interaction Creators: Gusenleitner, Kopetzky, Leva, Moser, Pichler, Polleres, Recski, Siedl, Sommer, St"ubl Publisher: Collection: H-Workload 2019: 3rd International Symposium on Human Mental Workload: Models and Applications (Works in Progress) |
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Abstract |
We are focusing on working environments with an increasing role of AI for solving problems involving detection and classification of patterns and events, optimization, predictions or providing other services that generally are associated with human intelligence such as reasoning and learning. Such AI transformed working environments raise new requirements and challenges in terms of mental workload. We discuss these challenges in the context of Human- AI teaming. |