Bibliographies thématiques / Smart User

Littérature scientifique sur le sujet « Smart User »

Auteur : Grafiati
Publié le 10 mars 2023

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Articles de revues sur le sujet "Smart User"

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Silvast, Antti, Robin Williams, Sampsa Hyysalo, Kjetil Rommetveit et Charles Raab. « Who ‘Uses’ Smart Grids ? The Evolving Nature of User Representations in Layered Infrastructures ». Sustainability 10, no 10 (17 octobre 2018) : 3738. http://dx.doi.org/10.3390/su10103738.

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This article addresses the anticipated use and users of smart energy technologies and the contribution of these technologies to energy sustainability. It focuses on smart grids and smart energy meters. Qualitative accounts given by European technology developers and experts reveal how they understand the final use and social impacts of these technologies. The article analyzes these accounts and compares the UK’s smart meter rollout with experiences from other European countries, especially Finland, to provide insights into the later adoption stages of smart energy and how its impacts have evolved. The analysis highlights significant differences in the likely intensity and manner of user engagement with smart grids and meters: depending first on whether we are considering existing technologies or smart technologies that are expected to mature sometime in the next decade, and second on whether the ‘user’ is the user of smart meters or the user of an entire layer of new energy services and applications. By deploying the strategic approach developed in the article, smart grid developers and experts can give more explicit attention to recognizing the descriptions of ‘users’ in smart-grid projects and to the feasibility of these expectations of ‘use’ in comparison to the possibilities and limits of energy services and applications in different country contexts. The examination of user representations can also point out the need for further technology and service development if some of the envisioned user profiles and user actions appear unrealistic for presently available technologies.
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Goh, Lih Seng, et Dan Nathan-Roberts. « Smart Home Devices : Promoting User Trust and Protecting User Data ». Proceedings of the Human Factors and Ergonomics Society Annual Meeting 63, no 1 (novembre 2019) : 1659–63. http://dx.doi.org/10.1177/1071181319631525.

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As smart technology is introduced into our homes, new dangers emerge that threaten our safety. New technology is usually subjected to much scrutiny, but smart home devices face even more because they are brought into the home environment, which is focused on safety and privacy. The potential for smart home technology to improve home life is hindered by the fact that potential users face difficulty in trusting and accepting smart home technology. This paper explores different types of trust that can be used to inform strategies, promote trust, reduce threats towards smart home technologies, and overcome challenges in designing these systems and different methods for designing a trustworthy and secure system. To begin designing a trustworthy product that establishes trust between users and smart home technology, manufacturers should use these findings to understand how human beings form trust with new technology.
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Goulden, Murray, Ben Bedwell, Stefan Rennick-Egglestone, Tom Rodden et Alexa Spence. « Smart grids, smart users ? The role of the user in demand side management ». Energy Research & ; Social Science 2 (juin 2014) : 21–29. http://dx.doi.org/10.1016/j.erss.2014.04.008.

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Voege, Peter, Iman I. M. Abu Sulayman et Abdelkader Ouda. « Smart Chatbot for User Authentication ». Electronics 11, no 23 (3 décembre 2022) : 4016. http://dx.doi.org/10.3390/electronics11234016.

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Despite being the most widely used authentication mechanism, password-based authentication is not very secure, being easily guessed or brute-forced. To address this, many systems which especially value security adopt Multi-Factor Authentication (MFA), in which multiple different authentication mechanisms are used concurrently. JitHDA (Just-in-time human dynamics based authentication engine) is a new authentication mechanism which can add another option to MFA capabilities. JitHDA observes human behaviour and human dynamics to gather up to date information on the user from which authentication questions can be dynamically generated. This paper proposes a system that implements JitHDA, which we call Autonomous Inquiry-based Authentication Chatbot (AIAC). AIAC uses anomalous events gathered from a user’s recent activity to create personalized questions for the user to answer, and is designed to improve its own capabilities over time using neural networks trained on data gathered during authentication sessions. Due to using the user’s recent activity, they will be easy for the authentic user to answer and hard for a fraudulent user to guess, and as the user’s recent history updates between authentication sessions new questions will be dynamically generated to replace old ones. We intend to show in this paper that AIAC is a viable implementation of JitHDA.
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TALUĞ, Deniz Yeşim. « USER EXPECTATIONS ON SMART TV ; AN EMPIRIC STUDY ON USER EMOTIONS TOWARDS SMART TV ». TURKISH ONLINE JOURNAL OF DESIGN ART AND COMMUNICATION 11, no 2 (1 avril 2021) : 424–42. http://dx.doi.org/10.7456/11102100/007.

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As a result of the introduction of new technologies in consumer electronics, analog TV shifted from a mere viewing experience to a personalized digital TV experience where users are encouraged to interact. The application of these new technologies not only create changes in physical appearance and adding more functionalities to TVs but it also shifts user expectations, which are mainly emotionally driven. The initial attempt of this study is to determine which emotions are involved in smart TV preference and why those particular emotions are aroused. In other words, this study aims to discover the link among contents, activities and user interaction as well as the relationship between triggered emotions and user expectations. By doing so, it analyses user emotions and expectations towards a dream TV. The primary data is collected towards semi-structured in-depth interviews. The results show that Smartness, High quality, Personalization, Functionality and Appearance are the key features that meet the expectations towards TV experience. User-friendliness, compatibleness, enjoyableness, awareness, novel-interactions, self-defense smart software and voice remote are the consequent expectations. All these expectations arise from different underlying emotional tendencies. With its initial attempt to propose guidelines for designers, this study suggests that for designing a smart TV that meets user expectations, its design should enable smart interaction that simplifies managing task (Smartness), high quality of picture and sound to enable innovative continuous experience (High quality), supporting not missing any content of interest and filter unwanted ones (Personalization), utilize all kinds of usage comfortably (Functionality), and should have an aesthetic look, even seamless design that fits any possible environment (Appearance).
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Moreno, María V., Miguel A. Zamora et Antonio F. Skarmeta. « User-centric smart buildings for energy sustainable smart cities ». Transactions on Emerging Telecommunications Technologies 25, no 1 (12 décembre 2013) : 41–55. http://dx.doi.org/10.1002/ett.2771.

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Le Guilly, Thibaut, Michael K. Nielsen, Thomas Pedersen, Arne Skou, Jesper Kjeldskov et Mikael Skov. « User constraints for reliable user-defined smart home scenarios ». Journal of Reliable Intelligent Environments 2, no 2 (4 mai 2016) : 75–91. http://dx.doi.org/10.1007/s40860-016-0020-z.

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Leghari, M., L. Dhomeja et S. Memon. « User Control Support in Smart Homes ». EAI Endorsed Transactions on Context-aware Systems and Applications 7, no 21 (8 septembre 2020) : 164666. http://dx.doi.org/10.4108/eai.13-7-2018.164666.

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Razak, Razie, Radityo Muhammad et Pawito Pawito. « Gamification : Stimulating User Smart City Application ». CHANNEL : Jurnal Komunikasi 9, no 2 (15 octobre 2021) : 159. http://dx.doi.org/10.12928/channel.v9i2.21139.

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FakhrHosseini, Shabnam, Sheng-Hung Lee, John Rudnik, Heesuk Son, Chaiwoo Lee et Joseph Coughlin. « User Needs of Smart Home Services ». Proceedings of the Human Factors and Ergonomics Society Annual Meeting 65, no 1 (septembre 2021) : 457–61. http://dx.doi.org/10.1177/1071181321651218.

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Technological advances have improved the functionality of smart home systems and services, enabling consumers to automate some of in-home tasks, enhance their safety and security, and save energy. Despite improved functionality, user adoption of many available products and services remains low. This phenomenon suggests that smart home technologies may not be meeting the needs of potential users. Furthermore, continued technological advancement combined with changes in people’s lifestyle and attitudes towards in-home technologies require updated investigations to gain a clear view of current user needs. This study presents findings from a set of semi-structured interviews and card-sorting activities with eleven participants from different socio-demographic backgrounds, with a focus on describing ten challenges commonly experienced in the home environment. Possible technological solutions are discussed from the existing unmet needs within the scope of smart and connected homes.
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Thèses sur le sujet "Smart User"

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James, Brandon. « Smart Card Based User Authentication ». Wright State University / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=wright1340246432.

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Astistova, Т. І., et M. А. Kolva. « Smart house management system, user interface ». Thesis, Київський національний університет технологій та дизайну, 2021. https://er.knutd.edu.ua/handle/123456789/19331.

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Atacan, Pamir Naz. « Smart Products : Technological Applications Vs User Expectations ». Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/12612450/index.pdf.

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This thesis focuses on the technological trends in smart products, and analyzes their conformity to the user expectations. The advances in computation technologies have totally revolutionized the product concept, and with the integration of microchips, software and sensors into the classical everyday objects, smart products, able to sense the context, reason about the sensed data and act according to the situation, have emerged. This new way of computing basing on the ubiquitous and calm computing visions, has distributed the digital information into the surrounding environment, and once freed from the limited resources provided by the classical desktop based computing, attempted to enhance user product communication and collaboration in everyday environments. Via their sensing - decision making - acting process and advanced interaction capabilities, smart products have gained the ability to better interpret user needs and intuitively communicate with users through simplified interfaces involving the majority of the senses without even disturbing or overburdening their users. The study first, throughout a literature review, examines these improvements in computation technologies and determines the trends related to smart products. An empirical research is then conducted to find out to what extend user expectations from smart products overlap with the ongoing researches in this area. The findings including users&rsquo
conception about smartness and expectations from different types of smart products are analyzed regarding to the technological trends to deduce the coherence between literature&rsquo
s orientation and user preferences. The study considered the technological trends as a database and takes the user expectations as the design motivation.
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Handosa, Mohamed Hussein Hafez. « Supporting User Interactions with Smart Built Environments ». Diss., Virginia Tech, 2019. http://hdl.handle.net/10919/87433.

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Before the recent advances in sensing, actuation, computing and communication technologies, the integration between the digital and the physical environment was limited. Humans linked those two worlds by collecting data about the physical environment before feeding it into the digital environment, and by changing the state of the physical environment based on the state of the digital environment. The incorporation of computing, communication, sensing, and actuation technologies into everyday physical objects has empowered the vision of the Internet of Things (IoT). Things can autonomously collect data about the physical environment, exchange information with other things, and take actions on behalf of humans. Application domains that can benefit from IoT include smart buildings, smart cities, smart water, smart agriculture, smart animal farming, smart metering, security and emergencies, retail, logistics, industrial control, and health care. For decades, building automation, intelligent buildings, and more recently smart buildings have received a considerable attention in both academia and industry. We use the term smart built environments (SBE) to describe smart, intelligent, physical, built, architectural spaces ranging from a single room to a whole city. Legacy SBEs were often closed systems operating their own standards and custom protocols. SBEs evolved to Internet-connected systems leveraging the Internet technologies and services (e.g., cloud services) to unleash new capabilities. IoT-enabled SBEs, as one of the various applications of the IoT, can change the way we experience our homes and workplaces significantly and make interacting with technology almost inevitable. This can provide several benefits to modern society and help to make our life easier. Meanwhile, security, privacy, and safety concerns should be addressed appropriately. Unlike traditional computing devices, things usually have no or limited input/output (I/O) capabilities. Leveraging the ubiquity of general-purpose computing devices (e.g., smartphones), thing vendors usually provide interfaces for their products in the form of mobile apps or web-based portals. Interacting with different things using different mobile apps or web-based portals does not scale well. Requiring the user to switch between tens or hundreds of mobile apps and web-based portals to interact with different things in different smart spaces may not be feasible. Moreover, it can be tricky for non-domestic users (e.g., visitors) of a given SBE to figure out, without guidance, what mobile apps or web-based portals they need to use to interact with the surrounding. While there has been a considerable research effort to address a variety of challenges associated with the thing-to-thing interaction, human-to-thing interaction related research is limited. Many of the proposed approaches and industry-adopted techniques rely on more traditional, well understood and widely used Human-Computer Interaction (HCI) methods and techniques to support interaction between humans and things. Such techniques have mostly originated in a world of desktop computers that have a screen, mouse, and keyboard. However, SBEs introduce a radically different interaction context where there are no centralized, easily identifiable input and output devices. A desktop computer of the past is being replaced with the whole SBE. Depending on the task at hand and personal preferences, a user may prefer to use one interaction modality over another. For instance, turning lights on/off using an app may be more cumbersome or time-consuming compared to using a simple physical switch. This research focuses on leveraging the recent advances in IoT and related technologies to support user interactions with SBEs. We explore how to support flexible and adaptive multimodal interfaces and interactions while providing a consistent user experience in an SBE based on the current context and the available user interface and interaction capabilities.
PHD
The recent advances in sensing, actuation, computing, and communication technologies have brought several rewards to modern society. The incorporation of those technologies into everyday physical objects (or things) has empowered the vision of the Internet of Things (IoT). Things can autonomously collect data about the physical environment, exchange information with other things, and take actions on behalf of humans. Several application domains can benefit from the IoT such as smart buildings, smart cities, security and emergencies, retail, logistics, industrial control, and health care. For decades, building automation, intelligent buildings, and more recently smart buildings have received considerable attention in both academia and industry. We use the term smart built environments (SBE) to describe smart, intelligent, physical, built, architectural spaces ranging from a single room to a whole city. SBEs, as one of the various applications of the IoT, can change the way we experience our homes and workplaces significantly and make interacting with technology almost inevitable. While there has been a considerable research effort to address a variety of challenges associated with the thing-to-thing interaction, human-to-thing interaction related research is limited. Many of the proposed approaches and industry-adopted techniques to support human-to-thing interaction rely on traditional methods. However, SBEs introduce a radically different interaction context. Therefore, adapting the current interaction techniques and/or adopting new ones is crucial for the success and wide adoption of SBEs. This research focuses on leveraging the recent advances in the IoT and related technologies to support user interactions with SBEs. We explore how to support a flexible, adaptive, and multimodal interaction experience between users and SBEs using a variety of user interfaces and proposed interaction techniques.
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Zhou, Yuan, et Jian Gao. « Smart Elicitation of User Feedback in Mobile Applications ». Thesis, Blekinge Tekniska Högskola, Institutionen för programvaruteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-13982.

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Context. Nowadays, mobile applications and services have occupied an essential part in our daily life. We use them to fulfill our needs for communication, news, or entertainment. Within a fierce competitive market, mobile applications need continually improvement through collections of user feedback to satisfy users’ needs. However, in mobile applications, lack of a comprehensive consideration in designing feedback mechanism makes it difficult to efficiently collect user feedback. It shows only approximate one third online user reviews that contain helpful information for improvement. In addition, users may be disturbed by feedback request, result in rejecting to provide feedback. Objectives. This study aims to provide a comprehensive consideration for elicitation of user feedback in mobile applications. Methods. This study followed a mixed qualitative-quantitative research approach. Firstly, we conducted an experiment and a semi-structured interview to investigate how do users provide feedback when they are using a mobile application. Then a content analysis and a statistical analysis were conducted for analyzing collected data.    Results. Users’ preference of feedback approaches and the encouraging/discouraging factors for users to provide feedback were identified. We also assessed user-perceived suitable timings for interruption of feedback request. Conclusions. The result shows, generally, users prefer to provide feedback when asked by feedback request. Three encouraging factors and Three discouraging factors are identified. The beginning of mobile application execution is perceived as best moment for interruption of feedback request. In addition, this study also provides a three-time-dimensions approach for researching disturbances caused by interruption of feedback request as well as other peripheral information.
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Bataille, Iris. « Tangible User Interfaces in the Smart Home Environment ». Thesis, Malmö universitet, Fakulteten för kultur och samhälle (KS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-22791.

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Rubio, Carlos R. (Carlos Roberto). « An API for smart objects and multimodal user interfaces for the smart home and office ». Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/100642.

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Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2015.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (page 94).
As more people move to cities, space is becoming more limited and expensive. Robotic furniture can increase functionality and optimize space, allowing spaces to feel as if they were three times the size. These mechatronic systems need capable electronics and connected microcontrollers to bring furniture to the Internet of Things (IoT). We present these electronics and firmware for three smart robotic spaces. These smart spaces need powerful software and computing systems to enable the transformations and give magic to the space. We present software written for three smart robotic spaces. The right user interfaces are vital for rich user experience. User studies with different smart home user interfaces show that although tactile interfaces are the most reliable and easiest to work with, people are hopeful for sufficiently robust gestural and speech interfaces in future smart homes. The urban homes and offices of the future are smart, customizable, and robotic.
by Carlos R. Rubio.
M. Eng.
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Goutham, Mithun. « Machine learning based user activity prediction for smart homes ». The Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1595493258565743.

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Tzeremes, Vasilios. « End user software product line support for smart spaces ». Thesis, George Mason University, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10249280.

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Smart spaces are physical environments equipped with pervasive technology that sense and react to human activities and changes in the environment. End User Development (EUD) skills vary significantly among end users who want to design, develop and deploy software applications for their smart spaces. Typical end user development is opportunistic, requirements are usually unplanned and undocumented, applications are simplistic in nature, design is ad-hoc, reuse is limited, and software testing is typically haphazard, leading to many quality issues. On the other hand, technical end users with advanced EUD skills and domain expertise have the ability to create sophisticated software applications for smart spaces that are well designed and tested.

This research presents a systematic approach for adopting reuse in end user development for smart spaces by using Software Product Line (SPL) concepts. End User (EU) SPL Designers (who are technical end users and domain experts) design and develop EU SPLs for smart spaces whereas less technical end users derive their individual smart space applications from these SPLs. Incorporating SPL concepts in EUD for smart spaces makes it easier for novice end users to derive applications for their spaces without having to interface directly with devices, networks, programming logic, etc. End users only have to select and configure the EU SPL features needed for their space. Another benefit of this approach is that it promotes reuse. End user requirements are mapped to product line features that are realized by common, optional, and variant components available in smart spaces. Product line features and the corresponding component product line architecture can then be used to derive EU applications. Derived EU applications can then be deployed to different smart spaces, thereby avoiding end users having to create EU applications from scratch. Finally the proposed approach has the potential of improving software quality since testing will be an integral part of EU SPL process.

In particular, this research has: (a) defined a systematic approach for EU SPL Designers to design and develop EU SPLs, (b) provided an EU SPL application derivation approach to enable end users to derive software applications for their spaces, (c) designed an EU SPL meta-model to capture the underlying representation of EU SPL and derived application artifacts in terms of meta-classes and relationships that supports different EUD platforms, (d) designed and implemented an EUD development environment that supports EU SPL development and application derivation, and (e) provided a testing approach and framework for systematic testing of EU SPLs and derived applications.

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Jusko, Ján. « Chatbot pro Smart Cities ». Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2019. http://www.nusl.cz/ntk/nusl-403204.

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The aim of this work is to simplify access to information for citizens of the city of Brno and at the same time to innovate the way of communication between the citizen and his city. The problem is solved by creating a conversational agent - chatbot Kroko. Using artificial intelligence and a Czech language analyzer, the agent is able to understand and respond to a certain set of textual, natural language queries. The agent is available on the Messenger platform and has a knowledge base that includes data provided by the city council. After conducting an extensive user testing on a total of 76 citizens of the city, it turned out that up to 97\% of respondents like the idea of a city-oriented chatbot and can imagine using it regularly. The main finding of this work is that the general public can easily adopt and effectively use a chatbot. The results of this work motivate further development of practical applications of conversational agents.
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Livres sur le sujet "Smart User"

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Center, Langley Research, dir. SMART structures user's guide. 3e éd. Hampton, Va : National Aeronautics Space Administration, Langley Research Center, 1996.

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Grammar for smart people : Your user-friendly guide to speaking and writing better English. New York : Pocket Books, 1992.

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Designing for Interaction : Creating smart applications and clever devices. Berkeley : New Riders, in association with AIGA Design Press, 2007.

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Park, Jong Hyuk (James). Human Centric Technology and Service in Smart Space : HumanCom 2012. Dordrecht : Springer Netherlands, 2012.

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Data binding with Windows Forms 2.0 : Programming smart client data applications with .NET. Upper Saddle River, NJ : Addison-Wesley, 2006.

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1970-, Hansmann Uwe, dir. Smart card application development using Java : With 98 figures, 16 tables and a multi function smart card. 2e éd. Berlin : Springer, 2002.

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Hargreaves, Tom, et Charlie Wilson. Smart Homes and Their Users. Cham : Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-68018-7.

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Millwood, David. Smart promotion. Vällingby, Sweden : National Swedish Board for Consumer Policies, 1989.

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Buang, Salleh. Smart growth. Petaling Jaya, Selangor, Malaysia : Pacifica Pub., 2008.

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Ginkgo : The smart herb. New York : Three Rivers Press, 1998.

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Chapitres de livres sur le sujet "Smart User"

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Cozzolongo, Giovanni, Berardina De Carolis et Sebastiano Pizzutilo. « Personalized Control of Smart Environments ». Dans User Modeling 2007, 420–24. Berlin, Heidelberg : Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-73078-1_57.

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Igarashi, Takeo. « Freeform User Interfaces for Graphical Computing ». Dans Smart Graphics, 39–48. Berlin, Heidelberg : Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-37620-8_4.

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Gennari, Rosella, Maristella Matera, Alessandra Melonio et Eftychia Roumelioti. « Research on Making Nature Smart with Children ». Dans End-User Development, 249–53. Cham : Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-24781-2_25.

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De Carolis, Berardina, Sebastiano Pizzutilo et Ignazio Palmisano. « D-ME : Personal Interaction in Smart Environments ». Dans User Modeling 2003, 388–92. Berlin, Heidelberg : Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-44963-9_54.

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Haverinen, Henry. « NAAP : A User-To-Network Authentication Protocol ». Dans Smart Networks, 279–92. Boston, MA : Springer US, 2002. http://dx.doi.org/10.1007/978-0-387-35584-9_17.

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Hussain, Anwar, M. Abu Ul Fazal et M. Shuaib Karim. « Intra-domain User Model for Content Adaptation ». Dans Smart Education and Smart e-Learning, 285–95. Cham : Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19875-0_26.

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Minuto, Andrea, et Fabio Pittarello. « Smart Materials : When Art Meets Technology ». Dans More Playful User Interfaces, 177–96. Singapore : Springer Singapore, 2015. http://dx.doi.org/10.1007/978-981-287-546-4_8.

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Lee, Paul U., Alexander Klippel et Heike Tappe. « The Effect of Motion in Graphical User Interfaces ». Dans Smart Graphics, 12–21. Berlin, Heidelberg : Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-37620-8_2.

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Popkema, Markus, et Ingrid van Schagen. « Modifying behavior by smart design ». Dans User Behavior and Technology Development, 319–29. Dordrecht : Springer Netherlands, 2006. http://dx.doi.org/10.1007/978-1-4020-5196-8_30.

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Hopkins, Torin, S. Sandra Bae, Julia Uhr, Clement Zheng, Amy Banić et Ellen Yi-Luen Do. « User Interfaces in Smart Cities ». Dans Handbook of Smart Cities, 687–719. Cham : Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-69698-6_94.

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Actes de conférences sur le sujet "Smart User"

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Bauer, Jens, Sebastian Thelen et Achim Ebert. « Using smart phones for large-display interaction ». Dans 2011 International Conference on User Science and Engineering (i-USEr 2011). IEEE, 2011. http://dx.doi.org/10.1109/iuser.2011.6150533.

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Nawarathna, Harshani, Pavithra De Alwis, Sachindra Dilhara, Sanjaya Liyanage et Shahani Weerawarana. « InterAct : A framework to generate device specific smart user interfaces ». Dans 2011 International Conference on User Science and Engineering (i-USEr 2011). IEEE, 2011. http://dx.doi.org/10.1109/iuser.2011.6150550.

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Cerny, Tomas, Vaclav Chalupa et Michael J. Donahoo. « Towards Smart User Interface Design ». Dans 2012 International Conference on Information Science and Applications (ICISA). IEEE, 2012. http://dx.doi.org/10.1109/icisa.2012.6220929.

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Niculescu, Andreea I., Bimlesh Wadhwa et Evan Quek. « Technologies for the future : Evaluating a voice enabled smart city parking application ». Dans 2016 4th International Conference on User Science and Engineering (i-USEr). IEEE, 2016. http://dx.doi.org/10.1109/iuser.2016.7857932.

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Kanade, Takeo. « Smart Headlight ». Dans UIST '16 : The 29th Annual ACM Symposium on User Interface Software and Technology. New York, NY, USA : ACM, 2016. http://dx.doi.org/10.1145/2984511.2984594.

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CHOLEWA, Tomasz, Alicja SIUTA-OLCHA, Andrzej SMOLARZ, Piotr MURYJAS, Piotr WOLSZCZAK et Rafal ANASIEWICZ. « On the use of user profiles by forecasting the heat used for heating ». Dans 2020 5th International Conference on Smart and Sustainable Technologies (SpliTech). IEEE, 2020. http://dx.doi.org/10.23919/splitech49282.2020.9243822.

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Zhan, Kai, Ingrid Zukerman, Masud Moshtaghi et Gwyneth Rees. « Eliciting Users' Attitudes toward Smart Devices ». Dans UMAP '16 : User Modeling, Adaptation and Personalization Conference. New York, NY, USA : ACM, 2016. http://dx.doi.org/10.1145/2930238.2930241.

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Fukaya, Takugo Y., Susumu Ono, Minoru Minakuchi, Seiya Nakashima, Masako Hayashi et Hiroshi Ando. « Reading text on a smart phone : Scrolling vs. paging : Toward designing effective electronic manuals ». Dans 2011 International Conference on User Science and Engineering (i-USEr 2011). IEEE, 2011. http://dx.doi.org/10.1109/iuser.2011.6150537.

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Dube, Swaraj, Khor Jeen Ghee, Wong Weng Onn et Quek Zhen Han. « Embedded user interface for smart camera ». Dans 2017 7th IEEE International Conference on System Engineering and Technology (ICSET). IEEE, 2017. http://dx.doi.org/10.1109/icsengt.2017.8123416.

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Mayer, Simon, Nadine Inhelder, Ruben Verborgh et Rik Van de Wallet. « User-friendly configuration of smart environments ». Dans 2014 IEEE International Conference on Pervasive Computing and Communication Workshops (PERCOM WORKSHOPS). IEEE, 2014. http://dx.doi.org/10.1109/percomw.2014.6815188.

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Rapports d'organisations sur le sujet "Smart User"

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Haney, Julie M., Susanne M. Furman et Yasemin Acar. Research Report : User Perceptions of Smart Home Privacy and Security. National Institute of Standards and Technology, novembre 2020. http://dx.doi.org/10.6028/nist.ir.8330.

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Li, Lingxi, Yaobin Chen, Renren Tian, Feng Li, Howell Li et James R. Sturdevant. An Integrated Critical Information Delivery Platform for Smart Segment Dissemination to Road Users. Purdue University, 2022. http://dx.doi.org/10.5703/1288284317440.

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An integrated critical information delivery platform for smart segment dissemination to road users was developed. A statewide baseline milepost geodatabase was created at 0.1-mile resolution with tools, protocols, and interfaces that allow other data sources to be efficiently utilized. A variety of data sources (e.g., INRIX, CARS, Doppler, camera images, connected vehicle data, automated vehicle location) were integrated into existing and new dashboards for stakeholders to monitor roadway conditions and after-action reviews. Additionally, based on these data sources, algorithms were developed and an API was created to identify hazardous road conditions when the location of the end-user mobile device was given. Message delivery schemes were successfully implemented to issue alerts to drivers, which were integrated with two in-vehicle smartphone applications. The performance of the integrated platform was evaluated using both the driving simulator and a number of simulated and on-road tests. The results demonstrated the system was able to disseminate data in real-time using the developed platform.
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Roth, Christian. Design of the In-vehicle Experience. SAE International, juin 2022. http://dx.doi.org/10.4271/epr2022012.

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The in-vehicle experience, both physical and digital, is increasingly the differentiating factor between vehicles. Since touch displays, smart surfaces, and internet connectivity are present in most vehicle segments, the growing resemblance of in-vehicle experiences with mobile experiences leads to user expectations on par with smartphones. While manufacturers are faced with providing suitable service offerings that are safe to use, they must also identify services to exclude or limit, without encouraging drivers to resort back to their mobile devices. This increasingly complex in-vehicle experience design process is being shaped by new stakeholders, including operating system providers and application developers. Design of the In-vehicle Experience examines the challenging and changing relationships between manufacturers (that lack in software development and mobile experience design skills) and new stakeholders (that lack the decades of experience designing for the driving context). The report also discusses augmenting and expanding existing guidelines and best practices to address the challenges of modern in-vehicle experience design.
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DEMIROVA, V., et M. VAZINA. SMART TECHNOLOGY “SMART CITY” (LITERATURE REVIEW). Science and Innovation Center Publishing House, 2021. http://dx.doi.org/10.12731/2070-7568-2021-10-5-1-54-59.

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The article analyzes the current concept of the development of urban areas “Smart City”, which involves the integration of various information and communication technologies for the management of urban infrastructure. The article analyzes the concept of smart technologies and the prospects of their use for the development of urban infrastructure of the future.
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Appleyard, Bruce, Jonathan Stanton et Chris Allen. Toward a Guide for Smart Mobility Corridors : Frameworks and Tools for Measuring, Understanding, and Realizing Transportation Land Use Coordination. Mineta Transportation Institue, décembre 2020. http://dx.doi.org/10.31979/mti.2020.1805.

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The coordination of transportation and land use (also known as “smart growth”) has been a long-standing goal for planning and engineering professionals, but to this day it remains an elusive concept to realize. Leaving us with this central question -- how can we best achieve transportation and land use coordination at the corridor level? In response, this report provides a review of literature and practice related to sustainability, livability, and equity (SLE) with a focus on corridor-level planning. Using Caltrans’ Corridor Planning Process Guide and Smart Mobility Framework as guideposts, this report also reviews various principles, performance measures, and place typology frameworks, along with current mapping and planning support tools (PSTs). The aim being to serve as a guidebook that agency staff can use for reference, synergizing planning insights from various data sources that had not previously been brought together in a practical frame. With this knowledge and understanding, a key section provides a discussion of tools and metrics and how they can be used in corridor planning. For illustration purposes, this report uses the Smart Mobility Calculator (https://smartmobilitycalculator. netlify.app/), a novel online tool designed to make key data easily available for all stakeholders to make better decisions. For more information on this tool, see https://transweb.sjsu.edu/research/1899-Smart-Growth-Equity-Framework-Tool. The Smart Mobility Calculator is unique in that it incorporates statewide datasets on urban quality and livability which are then communicated through a straightforward visualization planners can readily use. Core sections of this report cover the framework and concepts upon which the Smart Mobility Calculator is built and provides examples of its functionality and implementation capabilities. The Calculator is designed to complement policies to help a variety of agencies (MPOs, DOTs, and local land use authorities) achieve coordination and balance between transportation and land use at the corridor level.
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Hicks, Jacqueline. Export of Digital Surveillance Technologies From China to Developing Countries. Institute of Development Studies, août 2022. http://dx.doi.org/10.19088/k4d.2022.123.

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There is evidence to show that Chinese companies, with some state credit backing, are selling digital surveillance technologies to developing countries, which are then sometimes used in authoritarian practices. However, there is little direct evidence to show that surveillance technologies sold by Chinese companies have more authoritarian potential than the technologies sold by non-Chinese companies. Some researchers define “surveillance technologies” as including any form of digital infrastructure. There is data to show that developing country governments are contracting Chinese companies to build digital infrastructures. Other researchers define “surveillance technologies” as smart city projects. It is estimated that in 2019, Chinese smart city technologies have been purchased in over 100 countries worldwide. Other researchers look at more specific elements of smart cities: There are estimates that the “AI surveillance” components of smart cities have been purchased in 47-65 countries worldwide, and the “data integration” security platforms in at least 80 countries. None of these figures imply anything about how these technologies are used. The “dual use” nature of these technologies means that they can have both legitimate civilian and public safety uses as well as authoritarian control uses. There is evidence of some governments in Africa using Chinese surveillance technologies to spy on political opponents and arrest protesters. Some authors say that some Chinese smart city projects are actually not very effective, but still provide governments with a “security aesthetic”. Research also shows that Chinese smart city technologies have been sold mostly to illiberal regimes. However, in the wider context, there is also ample evidence of non-Chinese surveillance technologies contributing to authoritarian control in developing countries. There is also evidence that UK companies sell surveillance technologies to mostly illiberal regimes. Some reports consulted for this rapid review imply that Chinese surveillance technologies are more likely to be used for authoritarian control than those sold by non-Chinese companies. This analysis is largely based on circumstantial rather than direct evidence. They rely on prior judgements, which are themselves subject to ongoing enquiry in the literature: Almost all of the reports consulted for this rapid review say that the most important factor determining whether governments in developing countries will deploy a particular technology for repressive purposes is the quality of governance in the country. No reports were found in the literature reviewed of Chinese state pressure on developing countries to adopt surveillance technologies, and there were some anecdotal reports of officials in developing countries saying they did not come under any pressure to buy from Chinese companies.
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Balyk, Nadiia, Svitlana Leshchuk et Dariia Yatsenyak. Developing a Mini Smart House model. [б. в.], février 2020. http://dx.doi.org/10.31812/123456789/3741.

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The work is devoted to designing a smart home educational model. The authors analyzed the literature in the field of the Internet of Things and identified the basic requirements for the training model. It contains the following levels: command, communication, management. The authors identify the main subsystems of the training model: communication, signaling, control of lighting, temperature, filling of the garbage container, monitoring of sensor data. The proposed smart home educational model takes into account the economic indicators of resource utilization, which gives the opportunity to save on payment for their consumption. The hardware components for the implementation of the Mini Smart House were selected in the article. It uses a variety of technologies to conveniently manage it and use renewable energy to power it. The model was produced independently by students involved in the STEM project. Research includes sketching, making construction parts, sensor assembly and Arduino boards, programming in the Arduino IDE environment, testing the functioning of the system. Research includes sketching, making some parts, assembly sensor and Arduino boards, programming in the Arduino IDE environment, testing the functioning of the system. Approbation Mini Smart House researches were conducted within activity the STEM-center of Physics and Mathematics Faculty of Ternopil Volodymyr Hnatiuk National Pedagogical University, in particular during the educational process and during numerous trainings and seminars for pupils and teachers of computer science.
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Winzer, Stphen R. Composite Smart Materials for Defense and Dual-Use Applications. Fort Belvoir, VA : Defense Technical Information Center, avril 1995. http://dx.doi.org/10.21236/ada299507.

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Burns, Michael L. Medical Trauma Assessment Through the Use of Smart Textiles. Fort Belvoir, VA : Defense Technical Information Center, février 1995. http://dx.doi.org/10.21236/ada344949.

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Yoon, Seok Yong, Thilo Zelt et Ulf Narloch. Smart City Pathways for Developing Asia : An Analytical Framework and Guidance. Asian Development Bank, janvier 2021. http://dx.doi.org/10.22617/wps200342-2.

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The strategic use of digital technologies can enable smart cities to provide more accessible and better quality urban services for citizens, businesses, and governments. This working paper offers an analytical framework to assess, design, and implement smart city concepts that apply digital technologies tailored to specific contexts. It is intended to guide smart city practitioners and decision-makers in developing Asia to enhance their advisory services, project planning and implementation, and stakeholder engagement efforts.
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