Understanding User Interactions with IoT Process Models: A Demographic Perspective
摘要
The rapid integration of the Internet of Things (IoT) into business processes has underscored the necessity of developing IoT process models that are both functional and user-friendly. This survey investigated how users from varied demographic backgrounds perceive and interact with IoT process models, focusing on visual clarity, distinguishability, and cognitive challenges. Utilizing a sample size of n = 249 individuals, the research analyzed interactions with two distinct IoT process models, each embodying unique IoT integration features such as sensors, actuators, and IoT-specific tasks. The findings highlight the importance of design in enhancing user experience and suggest to consider the interplay between demographic factors and model design. The insights offer guidance for the creation of future IoT process models, emphasizing the importance of inclusivity and the ability to adapt to the changing requirements of users within the IoT environment.