Conference  /  July 24, 2024  -  July 26, 2024

AHFE International Conference

24.07.2024 | Session 6 Ecosystem-Based Data Economy I (10:30 a.m. to 12:00 p.m.) | Presentation

Approaching Cognitive Biases in the Circular Economy Through Serious Gaming

Anna-Kristin Behnert, Julia Arlinghaus (Fraunhofer IFF), Melanie Kessler, Maria Freese

Research and practice show that human decision-making is often subject to biases, especially under time pressure or when processing a large amount of information. The presentation will shed light on how serious games can be used as playful learning environments to increase awareness of cognitive biases and thus make better decisions. 

 

26.07.2024 | Session 73 Training Technologies and Learning Strategies (08:30 a.m. to 10:00 a.m.) | Presentation

A Case Study on Technology Selection and Didactical Design for Immersive Learning and Dialog Spaces

Tina Haase, Thu Ha Claudia Vuong and Julia Arlinghaus, Fraunhofer IFF

Mastering the flood of technology – but how? Which VR/AR/MR technologies can be used to effectively communicate a product idea? How can relevant perspectives be integrated into future decisions – from product design to recycling? In their presentation, Tina Haase, Thu Ha Claudia Vuong and Julia Arlinghaus will explain how the Fraunhofer IFF's Elbedome can contribute to collaborative learning and participation compared to conventional solutions in the fields of virtual reality, augmented reality and mixed reality. 

 

27.07.2024 | Session 130 Industry 4.0 and Intelligent Manufacturing Technologies I (10:30 a.m. to 12:00 p.m.) | Presentation 

Designing Hybrid Intelligence: Understanding the Impact of Human Decision-making on AI

Melanie Kessler, Oliver Antons, Julia Arlinghaus (Fraunhofer IFF)

The implementation of AI in supply chain and production management offers great potential. Many companies rely already on hybrid intelligence solutions, namely AI-supported processes, in which human and artificial intelligence work together. The research addresses the question of how artificial and human intelligence can be combined to improve the resilience of the supply chain and the efficiency of production.