Endowing IoT devices with intelligent services

The future of the Internet is to be found in Internet of Things (IoT) where every device communicates with others by making simple but intelligent decisions. To leverage the power of IoT, smart devices and objects need to be endowed with intelligent capabilities. Thus, the purpose of this paper is to investigate a selected Artificial Intelligence (AI) techniques/methods for use in the Internet of Things (IoT) concept. The main assumption is the use of a mobile device, typically mobile phone, as an intelligent object inside of IoT. To investigate the above issue, an IT system based on the concept of Internet of Things was built, and certain AI methods were implemented into this system. The paper covers also the issues of software engineering for building IT systems based on the IoT concept, using mobile devices and AI methods.Peer Reviewe

Endowing IoT devices with intelligent services

The future of the Internet is to be found in Internet of Things (IoT) where every device communicates with others by making simple but intelligent decisions. To leverage the power of IoT, smart devices and objects need to be endowed with intelligent capabilities. Thus, the purpose of this paper is to investigate a selected Artificial Intelligence (AI) techniques/methods for use in the Internet of Things (IoT) concept. The main assumption is the use of a mobile device, typically mobile phone, as an intelligent object inside of IoT. To investigate the above issue, an IT system based on the concept of Internet of Things was built, and certain AI methods were implemented into this system. The paper covers also the issues of software engineering for building IT systems based on the IoT concept, using mobile devices and AI methods.Peer Reviewe

Towards a cognitive assistant supporting human operators in the Artificial Intelligence of Things

Internet of Things (IoT) systems are becoming increasingly complex due to heterogeneity of devices and requirements for real-time processing and decision making. In this context, Artificial Intelligence (AI) technologies provide powerful capabilities for endowing IoT devices with intelligent services, leading to the so-called Artificial Intelligence of Things (AIoT). The operator is in the middle of this complexity, trying to understand the situation and make effective real-time decisions. Hence, human factors, especially cognitive ones, are a major issue to be addressed. The human cognitive part must be framed together with intelligent artefacts, requiring a systematic approach in the domain of joint cognitive systems. New software development methods in the form of assistants and wizards are necessary to help operators to be context-aware and reduce their technical workload regarding coding or computer-oriented skills, focusing on the task or service at hand. Building on previous research on the role of the human worker in an AIoT environment, this article analyses the described situation in terms of human cyber–physical systems, with the aim of proposing a conceptual framework for these assistance systems at the cognitive level. Two illustrative examples are described to validate the effectiveness of the proposed framework in collaborative tasks.Peer ReviewedPostprint (published version