Integration of Human Actors in IoT and CPS Landscape

Şahinel, Doruk; Akpolat, Cem; Görür, O. Can; Sivrikaya, Fikret

doi:10.1109/wf-iot.2019.8767276

Cited by 11 publications

(17 citation statements)

References 20 publications

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“…Despite this, few works have investigated who participates in a smart environment and how things interact with human sensors through knowledge processes that lead to actionable intelligence. The critical goal of integrating human actors is to develop proper interfaces based on application domains, type of operation to be performed, and integration between human sensors within the role system [ 84 ]. As in a collaborative workspace [ 85 ], humans can maintain situation awareness in order to work collaboratively with smart devices.…”

Section: Related Workmentioning

confidence: 99%

“…The IoE paradigm impacts human interaction with everyday objects. Considering the type of information exchanged between humans and the system [ 84 ], the expected outcomes from IoE applications provide multiple tiers of cognition with the fine-tuning sensory acquisition from heterogeneous contexts [ 57 ]. Distinct levels of collaboration between IoE resources require efficient solutions.…”

Section: Proposed Ioe Taxonomymentioning

confidence: 99%

“…Presentation refers to the physical aspects of sensors and actuators that interact with the physical world. The physical and virtual world can be merged by integrating computation and physical processes in one of the following ways: a) physical, b) cyber or virtual, and c) cyber-physical or logical [ 30 , 46 , 62 , 67 , 79 , 84 ].…”

Section: Proposed Ioe Taxonomymentioning

confidence: 99%

See 2 more Smart Citations

Internet of Everything (IoE) Taxonomies: A Survey and a Novel Knowledge-Based Taxonomy

Costa

Oliveira

Souza

2021

Sensors

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The paradigm of the Internet of everything (IoE) is advancing toward enriching people’s lives by adding value to the Internet of things (IoT), with connections among people, processes, data, and things. This paper provides a survey of the literature on IoE research, highlighting concerns in terms of intelligence services and knowledge creation. The significant contributions of this study are as follows: (1) a systematic literature review of IoE taxonomies (including IoT); (2) development of a taxonomy to guide the identification of critical knowledge in IoE applications, an in-depth classification of IoE enablers (sensors and actuators); (3) validation of the defined taxonomy with 50 IoE applications; and (4) identification of issues and challenges in existing IoE applications (using the defined taxonomy) with regard to insights about knowledge processes. To the best of our knowledge, and taking into consideration the 76 other taxonomies compared, this present work represents the most comprehensive taxonomy that provides the orchestration of intelligence in network connections concerning knowledge processes, type of IoE enablers, observation characteristics, and technological capabilities in IoE applications.

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Section: Related Workmentioning

confidence: 99%

Section: Proposed Ioe Taxonomymentioning

confidence: 99%

Section: Proposed Ioe Taxonomymentioning

confidence: 99%

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Internet of Everything (IoE) Taxonomies: A Survey and a Novel Knowledge-Based Taxonomy

Costa

Oliveira

Souza

2021

Sensors

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“…The number of studies in Table 4 is larger than the number of reviewed studies in Table 3 because some of the studies used multiple devices to present the output. For example, the MI system that was proposed by Sahinel et al [34] presented data from IoT devices on a wearable application, such as a smartwatch. Meanwhile, AR was presented through a mobile device (e.g., tablet PC) to be used for indoor navigation and to control a machine that could be identified by using object recognition.…”

Section: Output Device Distributionmentioning

confidence: 99%

“…The MI system that was proposed by Sahinel et al [34] utilizes both an AR marker and object recognition. In their system, an application on the agent's mobile device uses an AR marker to recognize an environment to initiate indoor navigation (Figure 4b), and uses object recognition to identify a machine (variation of Figure 4c).…”

Section: Markerless (Without Identifier) Armentioning

confidence: 99%

Multimodal Interaction Systems Based on Internet of Things and Augmented Reality: A Systematic Literature Review

2021

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Technology developments have expanded the diversity of interaction modalities that can be used by an agent (either a human or machine) to interact with a computer system. This expansion has created the need for more natural and user-friendly interfaces in order to achieve effective user experience and usability. More than one modality can be provided to an agent for interaction with a system to accomplish this goal, which is referred to as a multimodal interaction (MI) system. The Internet of Things (IoT) and augmented reality (AR) are popular technologies that allow interaction systems to combine the real-world context of the agent and immersive AR content. However, although MI systems have been extensively studied, there are only several studies that reviewed MI systems that used IoT and AR. Therefore, this paper presents an in-depth review of studies that proposed various MI systems utilizing IoT and AR. A total of 23 studies were identified and analyzed through a rigorous systematic literature review protocol. The results of our analysis of MI system architectures, the relationship between system components, input/output interaction modalities, and open research challenges are presented and discussed to summarize the findings and identify future research and development avenues for researchers and MI developers.

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Modeling Interactive Smart Spaces

Gianotti

Riccardi

Cosentino

et al. 2020

Lecture Notes in Computer Science

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The Internet of Things (IoT) enables the creation of Interactive Smart Spaces (ISSs) where different types of digital devices are integrated in the ambient or embedded in physical objects, and can sense human actions to control equipment, modify environmental parameters, or create multi-sensory effects. These IoT-enhanced interactive systems can support human activities in different contexts, e.g., education, entertainment, home assistance, rehabilitation, to name a few. This paper explores a human-centered perspective in the design of ISSs, which takes into account some salient characteristics of these systems and introduces new conceptual modeling issues going beyond representing hardware, software, and connectivity features of IoT devices. Interaction in particular emerges as a crucial modeling dimension, needed to capture the interplay occurring not only among multiple connected IoT devices but also among the users and the materials or the spaces embedding such devices. The paper presents a novel conceptual model for Interactive Smart Spaces and exemplifies the identified abstractions through a case study, modelling a complex ISS for children' play and learning that has been installed at two local schools and two therapeutic centers in our country.

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Integration of Human Actors in IoT and CPS Landscape

Cited by 11 publications

References 20 publications

Internet of Everything (IoE) Taxonomies: A Survey and a Novel Knowledge-Based Taxonomy

Internet of Everything (IoE) Taxonomies: A Survey and a Novel Knowledge-Based Taxonomy

Multimodal Interaction Systems Based on Internet of Things and Augmented Reality: A Systematic Literature Review

Modeling Interactive Smart Spaces

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