scholarly journals Intelligence Comes from Within—Personality as a UI Paradigm for Smart Spaces

Designs ◽  
2020 ◽  
Vol 4 (3) ◽  
pp. 18
Author(s):  
Sarah Diefenbach ◽  
Andreas Butz ◽  
Daniel Ullrich
Keyword(s):  
Mental Model ◽  
Smart Home ◽  
Smart Environments ◽  
Smart Spaces ◽  
Robotic Arms ◽  
Digital World ◽  
Technical Realization ◽  
Intelligent Devices ◽  
Research Questions ◽  
Common User

The buzzword “smart home” promises an intelligent, helpful environment in which technology makes life easier, simpler or safer for its inhabitants. On a technical level, this is currently achieved by many networked devices interacting with each other, working on shared protocols and standards. From a user experience (UX) perspective, however, the interaction with such a collection of devices has become so complex that it currently rather stands in the way of widespread adoption and use. So far, it does not seem likely that a common user interface (UI) concept will emerge as a quasi-standard, as the desktop interface did for graphical UIs. Therefore, our research follows a different approach. Instead of many singular intelligent devices, we envision a UI concept for smart environments that integrates diverse pieces of technology in a coherent mental model of an embodied “room intelligence” (RI). RI will combine smart machinery, mobile robotic arms and mundane physical objects, thereby blurring the line between the physical and the digital world. The present paper describes our vision and emerging research questions and presents the initial steps of technical realization.

scholarly journals A Concept for Context Awareness in Smart Environments

2020 ◽  
Vol 6 (3) ◽  
pp. 380-383
Author(s):  
Jochen Bauer ◽  
Michael Hechtel ◽  
Martin Holzwarth ◽  
Julian Sessner ◽  
Jörg Franke ◽  
...  
Keyword(s):  
Context Awareness ◽  
Smart Home ◽  
Daily Life ◽  
Smart Environments ◽  
Emotion Detection ◽  
Post Intervention ◽  
Detection Software

AbstractAll aspects of daily life increasingly include digitization. So-called „smart home“ technologies, as well as „wearables“, are gaining attention from more and more dwellers. Therefore, sensor-based, individualized, AI-based services for improved post-intervention monitoring and therapy accompaniment will become feasible and possible if these systems offer a related context-awareness. This paper provides an approach on how to sense and interpret specific contexts with the help of wearables, smartwatches, smart home sensors, and emotion detection software.

scholarly journals AI-Enabled Sensing and Decision-Making for IoT Systems

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Hao Qinxia ◽  
Shah Nazir ◽  
Ma Li ◽  
Habib Ullah ◽  
Wang Lianlian ◽  
...  
Keyword(s):  
Decision Making ◽  
Real Life ◽  
Research Community ◽  
Smart Sensors ◽  
Future Research ◽  
New Paradigm ◽  
Exclusion Criteria ◽  
Intelligent Devices ◽  
Research Questions

The influential stage of Internet of Things (IoT) has reformed all fields of life in general but specifically with the emergence of artificial intelligence (AI) has drawn the attention of researchers into a new paradigm of life standard. This revolution has been accepted around the globe for making life easier with the use of intelligent devices such as smart sensors, actuators, and many other devices. AI-enabled devices are more intelligent and capable of doing a specific task which saves a lot of resources and time. Different approaches are available in the existing literature to tackle diverse issues of real life based on AI and IoT systems. The role of decision-making has its own importance in the AI-enabled and IoT systems. In-depth knowledge of the existing literature is dire need of the research community to summarize the literature in effective way by which practitioners and researchers can benefit from the prevailing proofs and suggest new solutions for solving a particular problem of AI-enabled sensing and decision-making for the IoT system. To facilitate research community, the proposed study presents a systematic literature review of the existing literature, organizes the evidences in a systematic way, and then analyzes it for future research. The study reported the literature of the last 5 years based on the research questions, inclusion and exclusion criteria, and quality assessment of the selected study. Finally, derivations are drawn from the included paper for future research.

scholarly journals MyMaster : A Multifactor Authentication Scheme for Smart Home Device

2021 ◽  
Vol 9 (1) ◽  
pp. 89-96
Author(s):  
EMILLI LIJAU
Keyword(s):  
Smart Home ◽  
Mutual Authentication ◽  
Remote Access ◽  
The Internet ◽  
Home Gateway ◽  
Privacy Leakage ◽  
Intelligent Home ◽  
Multifactor Authentication ◽  
Intelligent Devices ◽  
Privacy And Confidentiality

Smart homes are one of the Internet of Things (IoT) applications most significant to enable people to operate intelligent devices on the Internet in their homes. However, when users can access an intelligent home system remotely, they have major privacy and confidentiality difficulties to overcome. Nothing has been done to improve the safety characteristics of an intelligent home with current research on authentication approaches. For example, to address these issues and to develop a reciprocal tracking authentication system with a critical aspect of a deal, we recommend an Internet based Smart Home System (IFTTT) model. As a controller and a safety guard, an IFTTT-Home Gateway provides a user with remote access to a Smart Home System within their company. The system is designed for mutual authentication with security features such as anonymity and full advance security by using Elliptical Curve Encryption, Nonces, XOR or cryptographic Hash functions. We also incorporate multi factor authentication (MFA) into the model to ensure more security and preventing privacy leakage.

Human Factor Role for Cyber Threats Resilience

2019 ◽  
pp. 215-241
Author(s):  
Zlatogor Borisov Minchev
Keyword(s):  
Human Factor ◽  
New Technologies ◽  
Mixed Reality ◽  
Smart Environments ◽  
Methodological Framework ◽  
Agent Based ◽  
Cyber Threats ◽  
Digital World ◽  
Technological Growth ◽  
Scenario Method

The chapter describes the problem of building cyber threats resilience for the human factor as the technological growth is constantly changing the security landscape of the new digital world. A methodological framework for meeting the problem by using the “scenario method” and experts' support is outlined. An implementation of comprehensive morphological and system analyses of cyber threats are performed, followed by agent based mixed reality validation, incorporating biometrics monitoring. The obtained results demonstrate a correlation of experts' beliefs for cyber threats identification, related to human factor biometric response, whilst using social networks and inhabiting smart environments of living. The achieved results prove “use with care” necessity for new technologies, concerning cyber threats landscape for assuring a sustainable resilience balance from the human factor perspective.

Introduction to Smart Environments

2017 ◽  
pp. 1-28
Keyword(s):  
Value Added ◽  
Smart Environments ◽  
Smart Environment ◽  
Smart Spaces ◽  
Cooperative Activity ◽  
Computing Environments ◽  
Effective Use ◽  
New Generation ◽  
Near Future ◽  
The Internet Of Things

Now the Internet of Things (IoT) is growing fast into a large industry with huge potential economic impact expected in near future. The IoT technology evolves to a substrate for resource interconnection and convergence. The users' needs go beyond the existing web-like services, which do not provide satisfactory coupling and automatic composition when the user tries to solve tasks from her/his everyday life. New generation of services (named “smart services”) emerges. In this chapter, we introduce the problem of effective use of the multitude of IoT-enabled devices and other digital resources that now surround our lives. The devices support and assist human by provision of digital services. This is the key objective of a smart environment. Our focus is on such a particular class of smart environments as smart spaces. This class targets IoT-enabled computing environments, where a smart space is created and then provides an infrastructure for applications to construct and deliver value-added services based on cooperative activity of environment participants, either human or machines.

scholarly journals Surveying Human Habit Modeling and Mining Techniques in Smart Spaces

2019 ◽  
Vol 11 (1) ◽  
pp. 23 ◽  
Author(s):  
Francesco Leotta ◽  
Massimo Mecella ◽  
Daniele Sora ◽  
Tiziana Catarci
Keyword(s):  
Decision Making ◽  
Internet Of Things ◽  
Literature Review ◽  
Visual Analysis ◽  
Future Research ◽  
Specific Method ◽  
Human Intervention ◽  
Smart Space ◽  
Smart Spaces ◽  
Research Questions

A smart space is an environment, mainly equipped with Internet-of-Things (IoT) technologies, able to provide services to humans, helping them to perform daily tasks by monitoring the space and autonomously executing actions, giving suggestions and sending alarms. Approaches suggested in the literature may differ in terms of required facilities, possible applications, amount of human intervention required, ability to support multiple users at the same time adapting to changing needs. In this paper, we propose a Systematic Literature Review (SLR) that classifies most influential approaches in the area of smart spaces according to a set of dimensions identified by answering a set of research questions. These dimensions allow to choose a specific method or approach according to available sensors, amount of labeled data, need for visual analysis, requirements in terms of enactment and decision-making on the environment. Additionally, the paper identifies a set of challenges to be addressed by future research in the field.

scholarly journals Frame-Based Elicitation of Mid-Air Gestures for a Smart Home Device Ecosystem

Informatics ◽  
2019 ◽  
Vol 6 (2) ◽  
pp. 23 ◽  
Author(s):  
Panagiotis Vogiatzidakis ◽  
Panayiotis Koutsabasis
Keyword(s):  
Mental Model ◽  
Smart Home ◽  
Smart Device ◽  
Elicitation Study ◽  
Multiple Devices ◽  
Single User ◽  
Definition Of ◽  
High Consistency ◽  
Very High ◽  
Smart Home Environments

If mid-air interaction is to be implemented in smart home environments, then the user would have to exercise in-air gestures to address and manipulate multiple devices. This paper investigates a user-defined gesture vocabulary for basic control of a smart home device ecosystem, consisting of 7 devices and a total of 55 referents (commands for device) that can be grouped to 14 commands (that refer to more than one device). The elicitation study was conducted in a frame (general scenario) of use of all devices to support contextual relevance; also, the referents were presented with minimal affordances to minimize widget-specific proposals. In addition to computing agreement rates for all referents, we also computed the internal consistency of user proposals (single-user agreement for multiple commands). In all, 1047 gestures from 18 participants were recorded, analyzed, and paired with think-aloud data. The study reached to a mid-air gesture vocabulary for a smart-device ecosystem, which includes several gestures with very high, high and medium agreement rates. Furthermore, there was high consistency within most of the single-user gesture proposals, which reveals that each user developed and applied her/his own mental model about the whole set of interactions with the device ecosystem. Thus, we suggest that mid-air interaction support for smart homes should not only offer a built-in gesture set but also provide for functions of identification and definition of personalized gesture assignments to basic user commands.

scholarly journals Striving for a Safer and More Ergonomic Workplace: Acceptability and Human Factors Related to the Adoption of AR/VR Glasses in Industry 4.0

Smart Cities ◽  
2020 ◽  
Vol 3 (2) ◽  
pp. 289-307
Author(s):  
Cecilia Sik Lanyi ◽  
John Dermott Alexander Withers
Keyword(s):  
Industry 4.0 ◽  
New Technology ◽  
Background Information ◽  
Smart Devices ◽  
Technology Research ◽  
Research Papers ◽  
Key Technology ◽  
Digital World ◽  
Industrial Use ◽  
Research Questions

The word smart is very popular these days, as a result of nearly everything being digital today. Background information: In this digital world, everything is interconnected by smart devices. The driving force behind this is today’s Industry 4.0 environment, which is affected by many factors, including the ergonomic and safe design of new technology, ensuring the safety of factory operators, whilst increasing productivity and profits. The authors answer the following research questions: Are AR/VR systems or devices proposed for industrial use capable of meeting the needs of the industry (including sustainability)? Are these AR/VR devices designed to ensure easy use and efficient training of factory operators? Do the proposals of the reviewed research papers place sufficient emphasis on creating ergonomic workplaces? These publications were categorized into three subcategories based on the used key technology, research or application area, and their main purposes. Conclusion: Virtual reality, augmented reality, and IoT are becoming increasingly more suitable for industrial use, despite facing scrutiny and criticism.

Intelligent devices and smart spaces

2013 ◽  
Author(s):  
Peter Marx ◽  
Mani B. Srivastava ◽  
Scott Hotes ◽  
Scott Watson ◽  
Vidya Narayanan
Keyword(s):  
Smart Spaces ◽  
Intelligent Devices

scholarly journals Robot Assistance in Dynamic Smart Environments—A Hierarchical Continual Planning in the Now Framework

Sensors ◽  
2019 ◽  
Vol 19 (22) ◽  
pp. 4856 ◽  
Author(s):  
Helen Harman ◽  
Keshav Chintamani ◽  
Pieter Simoens
Keyword(s):  
Smart Home ◽  
Smart Environments ◽  
State Change ◽  
Smart Environment ◽  
Task Execution ◽  
Estimation Task ◽  
Planning Framework ◽  
Robot Assistance ◽  
Iot Devices ◽  
And Task

By coupling a robot to a smart environment, the robot can sense state beyond the perception range of its onboard sensors and gain greater actuation capabilities. Nevertheless, incorporating the states and actions of Internet of Things (IoT) devices into the robot’s onboard planner increases the computational load, and thus can delay the execution of a task. Moreover, tasks may be frequently replanned due to the unanticipated actions of humans. Our framework aims to mitigate these inadequacies. In this paper, we propose a continual planning framework, which incorporates the sensing and actuation capabilities of IoT devices into a robot’s state estimation, task planing and task execution. The robot’s onboard task planner queries a cloud-based framework for actuators, capable of the actions the robot cannot execute. Once generated, the plan is sent to the cloud back-end, which will inform the robot if any IoT device reports a state change affecting its plan. Moreover, a Hierarchical Continual Planning in the Now approach was developed in which tasks are split-up into subtasks. To delay the planning of actions that will not be promptly executed, and thus to reduce the frequency of replanning, the first subtask is planned and executed before the subsequent subtask is. Only information relevant to the current (sub)task is provided to the task planner. We apply our framework to a smart home and office scenario in which the robot is tasked with carrying out a human’s requests. A prototype implementation in a smart home, and simulator-based evaluation results, are presented to demonstrate the effectiveness of our framework.

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