Cognitive human factors in the artificial intelligence of things

© 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other worksInternet of Things (IoT) systems are increasingly becoming complex. Heterogeneity in terms of hardware, software, computing capacity and connectivity is a source of complexity. The conversion of IoT systems into cyber-physical systems, including devices that are able not only to collect but also to process and take decisions, in real-time is a second source of complexity. Moreover, not only sensors should be considered, but also actuators, especially robots in the industry domain. In this context Artificial Intelligence (AI) technologies provide powerful capabilities to endow IoT devices with intelligent services, leading to the so-called Artificial Intelligence of Things (AIoT). In this context, the operator/user is in the middle of this complexity trying to understand the current situation and make effective real-time decisions. Hence, human factors, especially the cognitive ones, is a major issue to be addressed. New software development methods in the form of assistants and wizards are necessary to help operators/users to be context-aware and reduce their technical workload about coding or computer-oriented skills, focusing on the task/service at hands.Peer ReviewedObjectius de Desenvolupament Sostenible::9 - Indústria, Innovació i InfraestructuraPostprint (author's final draft