Insan robot etkileşiminde güven modelleri içinde uygulayının rolünün keşfedilmesi: Türkiye FMCG endüstrisinde bir vaka çalışması

Thanks to technology, robots are now widely used in many industries and can perform an increasing number of tasks. While the use of robots can improve product development and delivery speed, the biggest concern lies in trust and safety in human-robot interaction. Human-Robot Interaction (HRI) is a new field focused on designing, mastering, and evaluating collaboration between humans and robots. Despite a broad and rigorous literature in this field, trust in human-robot collaboration can be below expectations due to a lack of focus on creating effective and collaborative environments. The purpose of this research is to gain a deeper understanding of the dynamics of trust in human-robot collaboration and to demonstrate that it is possible to add new actors and factors to the trust model identified through literature reviews. Ensuring the validity and applicability of the trust model is crucial for its successful implementation across different contexts and industries. Using the "Trust Model Adjusted with Actors and Factors" proposed in this research, it is possible to analyze different environmental conditions and develop recommendations. The approach used in a case study in the Fast-Moving Consumer Goods (FMCG) sector, which defines and determines the roles of a previously non-existent actor named "Deployer/Developer" in the trust chain, is believed to encourage collaboration and technological innovation in many industries by adapting to different environments. Validating and applying this trust model across various scenarios ensures that it remains robust and effective, fostering trust and enhancing human-robot collaboration.