Towards a Semantic Classification of Possible Human-to-Environment Interactions in IoT

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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)


When looking at the way in which humans choose to participate in and interact with cyber physical-embedded environments such as Internet of Things (IoT), one could assume that such environments are permeated with ‘ad hoc’, ‘heterogeneous’ and ‘dynamic’ interactions in them. Existing literature on human to computer interactions, their types and definitions fail to provide a concrete understanding of these dimensions in cyber physical-embedded environments. Therefore, this paper presents the results of investigating existing categories of Human Computer Interaction (HCI) to make sense of these interactions and the inherent heterogeneity they carry. An integrative literature review using the PRISMA model to locate, select, and include 120 relevant articles has been carried out. The main finding of this review is a semantic classification of possible Human-to-Environment Interactions (HEI). The classification plays an important role as a starting point when looking at the current and future offerings of the HEI in the IoT. The classification also serves input as formal knowledge representations, such as Ontology Web Language (OWL) ontologies, which could assist in creating explicit representations of interaction.

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12782 LNCS

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