Littérature scientifique sur le sujet « Home user »

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Articles de revues sur le sujet "Home user"

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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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Blackwell, Alan F. « End-user developers at home ». Communications of the ACM 47, no 9 (septembre 2004) : 65–66. http://dx.doi.org/10.1145/1015864.1015892.

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Kao, Yung-Wei, et Shyan-Ming Yuan. « User-configurable semantic home automation ». Computer Standards & ; Interfaces 34, no 1 (janvier 2012) : 171–88. http://dx.doi.org/10.1016/j.csi.2011.08.002.

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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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Cho, Younjoo, et Anseop Choi. « Application of Affordance Factors for User-Centered Smart Homes : A Case Study Approach ». Sustainability 12, no 7 (10 avril 2020) : 3053. http://dx.doi.org/10.3390/su12073053.

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Smart homes improve quality of life by providing various services based on information and communication technologies. However, smart home systems are complicated and user interfaces for the interaction between smart home and user are often not user-friendly, causing potential difficulties and inconvenience for the user. Therefore, in order for smart homes to become user-centered, usability needs to be improved. This study aims to present guidelines for improving the usability of smart homes based on the concept of affordance, which is highly meaningful in user-centered design. To do this, firstly, the affordance factors that could be applied to improve the usability of active devices and user interfaces in smart homes were extracted, secondly, a case study was conducted to analyze the application of affordance factors, focusing on active devices (e.g., control devices and smart appliances) and user interfaces that directly interact with users in smart homes. Lastly, guidelines on the application of affordance factors were presented by combining case analysis results with relevant guidelines. Active devices and user interfaces should provide users with appropriate cognitive, physical, functional, and sensory affordances so that users can use the smart home services easily and conveniently.
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Teger, S., et D. J. Waks. « End-user perspectives on home networking ». IEEE Communications Magazine 40, no 4 (avril 2002) : 114–19. http://dx.doi.org/10.1109/35.995860.

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Leeb, G. « A user interface for Home Net ». IEEE Transactions on Consumer Electronics 40, no 4 (1994) : 897–902. http://dx.doi.org/10.1109/30.338336.

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Ali, S. M. Murad, Juan Carlos Augusto et David Windridge. « A Survey of User-Centred Approaches for Smart Home Transfer Learning and New User Home Automation Adaptation ». Applied Artificial Intelligence 33, no 8 (mai 2019) : 747–74. http://dx.doi.org/10.1080/08839514.2019.1603784.

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Bishop, Ann P. « This Little User Went to Market, This Little User Stayed Home ». Journal of Library Administration 26, no 1-2 (14 janvier 1999) : 213–21. http://dx.doi.org/10.1300/j111v26n01_26.

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Dyrstad, Dagrunn N., Britt S. Hansen et Evy M. Gundersen. « Factors that influence user satisfaction : tracheotomised home mechanical ventilation users’ experiences ». Journal of Clinical Nursing 22, no 3-4 (13 décembre 2012) : 331–38. http://dx.doi.org/10.1111/j.1365-2702.2012.04304.x.

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Thèses sur le sujet "Home user"

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Arvola, Mattias. « Good to use ! : Use quality of multi-user applications in the home ». Licentiate thesis, Linköping University, Linköping University, MDI - Interaction and Service Design Research Group, 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-5686.

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Traditional models of usability are not sufficient for software in the home, since they are built with office software in mind. Previous research suggest that social issues among other things, separate software in homes from software in offices. In order to explore that further, the use qualities to design for, in software for use in face-to-face meetings at home were contrasted to such systems at offices. They were studied using a pluralistic model of use quality with roots in socio-cultural theory, cognitive systems engineering, and architecture. The research approach was interpretative design cases. Observations, situated interviews, and workshops were conducted at a Swedish bank, and three interactive television appliances were designed and studied in simulated home environments. It is concluded that the use qualities to design for in infotainment services on interactive television are laidback interaction, togetherness among users, and entertainment. This is quite different from bank office software that usually is characterised by not only traditional usability criteria such as learnability, flexibility, effectiveness, efficiency, and satisfaction, but also professional face management and ante-use. Ante-use is the events and activities that precedes the actual use that will set the ground for whether the software will have quality in use or not. Furthermore, practices for how to work with use quality values, use quality objectives, and use quality criteria in the interaction design process are suggested. Finally, future research in design of software for several co-present users is proposed.


Report code: LiU-Tek-Lic-2002:61.
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Wei, Nicklas, et Richard Blomberg. « Home sweet home : a case study on persuasive technology to promote usage of an m-health application by elderly living at home ». Thesis, Linnéuniversitetet, Institutionen för informatik (IK), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-86874.

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Much of the developed world is experiencing an aging population. This requires society to adapt to take care of a growing elderly population and improve their quality of life. Today, mobile systems are available that makes it possible to monitor and improve health (m-health). Even though these systems could be immensely helpful for the elderly population, this has not been the primary demographic for the current m-health systems. This case study aimed at examining how persuasive technology (technology for changing behavior and/or attitude) can be used to promote usage of m-health applications by the elderly. For this purpose, a theoretical framework for supporting m-health systems is proposed. This framework consist of persuasive technology (for motivation and support for fulfillment of human needs), knowledge of elderly issues in interacting with mobile interfaces, smartphone usability heuristics and the Plan-Do-Study-Act (PDSA) cycle (to support goalsetting and incremental progress). To determine how persuasive technology can be used to motivate elderly and find effective strategies for this purpose, the case study examined health behavior, motivations for healthy behavior, attitude to health, general goal setting behavior, needs, preferences, technological experience and self-efficacy, as well as usage of m-health systems using qualitative and participatory methods. Methods used included semi-structured interviews, future workshop, revolutionary rapid prototyping and usability evaluation. The findings of the interviews and the future workshop suggested the primary motivation for healthy behavior was derived from social aspects. Thus, the most effective persuasive strategies for the elderly likely target their need for social belonging and socialization. Based on the findings, an interactive prototype was developed. The prototype proposed an m-health application with self-monitoring that implemented an elderly community around healthy behavior, with opportunities to earn digital rewards and challenge other users to competition. The interactive prototype was then used in a usability evaluation to gauge its usability by the elderly and revised in higher fidelity according to their feedback.
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Yang, Jeonghwa. « Eden an interactive home network management system / ». Diss., Atlanta, Ga. : Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/31755.

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Thesis (Ph.D)--Computing, Georgia Institute of Technology, 2010.
Committee Chair: W. Keith Edwards; Committee Member: Blair MacIntyre; Committee Member: David McDonald; Committee Member: Ellen Yi-Luen Do; Committee Member: John Stasko. Part of the SMARTech Electronic Thesis and Dissertation Collection.
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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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Burns, Edward E. (Edward Eugene). « End-user modification and correction of home activity recognition ». Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/61941.

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Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2010.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 48-50).
Sensor-enabled computer systems capable of recognizing specific activities taking place in the home may enable a host of "context-aware" applications such as health monitoring, home automation, remote presence, and on-demand information and learning, among others. Current state-of-the-art systems can achieve close to 90% accuracy in certain situations, but the decision processes involved in this recognition are too complex for the end-users of the home to understand. Even at 90% accuracy, errors are inevitable and frequent, and when they do occur the end-users have no tools to understand the cause of errors or to correct them. Instead of such complex approaches, this work proposes and evaluates a simplified, user-centric activity recognition system that can be understood, modified, and improved by the occupants of a context-aware home. The system, named Distinguish, relies on high-level, common sense information to construct activity models used in recognition. These models are transferable between homes and can be modified on a mobile phone-sized screen. Observations are reported from a pilot evaluation of Distinguish on naturalistic data gathered continuously from an instrumented home over a period of a month. Without any knowledge of the target home or its occupant's behaviors and no training data other than common sense information contributed by web users, the system achieved a baseline activity recognition accuracy of 20% with 51 target activities. A user test with 10 participants demonstrated that end-users were able to not only understand the cause of the errors, but with a few minutes of effort were also able to improve the system's accuracy in recognizing a particular activity from 12.5% to 52.3%. Based on the user study, 5 design recommendations are presented.
by Edward E. Burns.
S.M.
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Mani, GaneshKumar. « Heterogeneous Residential Gateway Design Using OSGi : With multi-user and multi-service capabilities ». Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-208327.

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As a result of developments, domestic usage of smart appliances by homeowners is increasing drastically. Clustering these appliances together and making them function as an efficient system defines a new place to live or new way of living called a “smart home”. While a smart home provides comfort to homeowners, realizing a smart home involves many technical and business oriented hurdles to be crossed. The primary goal of this thesis work is to design and evaluate the design of a residential gateway. This gateway should be designed as a standardized, secure, open source, hardware independent, and interoperable Residential Gateway. A service-oriented architecture is proposed using the OSGi framework to design the residential gateway and its individual components. These components include an access control component for homeowner authorization, a resource management component for managing connected devices, an automation component to realize an automation service, and finally a context component to provide context aware services to the homeowner. The final design proposed tries to solve the issues faced by some automation systems that are available in market. The evaluation of the design includes whether the design satisfies the basic requirements for a home gateway. This is followed by a comparison with existing systems with an emphasis on the improved features. The components proposed in the design could be used to construct a residential gateway that supports multiple services and multiple users. The proposed design will be taken into consideration during the design of Acreo’s home automation system.
Som en följd av utvecklingen inom vetenskap och teknik så har användningen av smarta lösningar i hushållen ökat drastiskt. Att samla dessa apparater och få dem att fungera tillsammans som ett effektivt system, skapar ett nytt hem och ett nytt sätt att leva: ett smart hem. Å ena sidan så ger smartare lösningar ett bekvämare boende, men å andra sidan innebär det också många tekniska och affärsinriktade hinder att ta sig över. Det primära målet med denna avhandling är att utforma en bostadsgateway som är att utforma en standardiserad, säker, open source, maskinvaruoberoende, interoperabel Residential Gateway. En serviceorienterad arkitektur föreslås med hjälp av OSGi-ramverket för utformning av bostadsgateway-komponenter. Komponenterna innefattar behörighetskontroll för husägare för tillgångskontroll, resurshanteringskomponenter för hantering av anslutna enheter, automationskomponent för att inkludera automationstjänst och slutligen kontextkomponent för att tillhandahålla kontextbevakad tjänster till husägaren. Den slutliga designen som föreslås försöker lösa de problem som vissa automationssystem som finns på marknaden står inför. Utvärderingen av konstruktionen med grundläggande krav för att bygga hemgateways och med befintliga system ger information om de improviserade funktionerna. De komponenter som föreslås i konstruktionen kan användas för att bygga en bostadsgateway som stöder flera tjänster och flera användare. Den föreslagna konstruktionen kommer att beaktas vid utformningen av Acreos hemautomatiseringssystem.
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Haglund, Kristian, et Pia Flydén. « Key determinants for user intention to adopt smart home ecosystems ». Thesis, Blekinge Tekniska Högskola, Institutionen för industriell ekonomi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-16807.

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IoT is a technology where different devices are equipped with internet connection which makes it possible to control them and exchange data over internet. IoT can be thought of as an umbrella term covering a broad and ever-growing range of services and technologies. One of the segments within IoT is the smart home ecosystem. The tremendous development the last decade within smartphones, wearable devices and broadband has created new ways to connect individual devices in the home (Qasim and Abu-Shanab, 2016; Jeong et al, 2016; Wilson et al, 2017; Hubert et al, 2017). This creates a synergy effect; by connecting multiple devices to a system new value is created. Energy, home controls, security, communication and entertainment services are all included in the smart home (Miller, 2015; Wilson et al, 2017). Even though the concept of smart homes has a large potential it seems like it has not reached its full potential and the diffusion of the innovation among the consumers is still at an early stage (Balta-Ozkan et.al, 2013; Yang et.al 2017). So far, many studies have been performed on the technical aspects of IoT and smart home ecosystems but less attention has been paid on the consumer point of view and what determinants that play a role in the intention to adopt the technology (Yang, Lee, and Zo. 2017). In addition, previous studies have mainly focused of one single device and has not considered the entire ecosystem (Yang, Lee, and Zo. 2017). Therefore, the purpose with this thesis is to study what are the key determinants for the intention to adopt smart homes from an ecosystem point of view. To fulfill the purpose known theoretical models regarding intention to adopt technology have been used to develop a research model. The basis to establish the research model has been the theory of innovation adoption, TRA, TPB, TAM, VAM and UTAUT. Based on the literature four determinants were selected to be included in the model; these were cost, perceived ease of use, perceived usefulness and individualization. The first three are all included in the mentioned theoretical models and have previously been proven to be important for intention to adopt. The last one, individualization is derived from the field of product differentiation. In the literature it is mentioned that the possibility to refine, adjust and modify may be crucial for the user (Dodgson et.al. 2008). With this background it was interested to include individualization as a determinant in the research model and study how it impacts intention to adopt. In addition to the determinants one moderator was included; the composition of the household. In order to collect the empirical data a survey was conducted using the snowball sampling approach via Facebook and LinkedIn. The survey consisted of two sections where the first section aimed to collect background information about the respondent and the second section consisted of questions regarding the determinants. In the second section the respondents were asked to respond according to a 5-point Likert scale. The used questions in the survey was predefined in the literature. Study results show that consumers’ use intention is shaped by individualization, perceived usefulness and perceived ease of use. Cost was found not to be statistically significant. Neither was the composition of the household.
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Rashidi, Parisa. « Smart home adaptation based on explicit and implicit user feedback ». Online access for everyone, 2007. http://www.dissertations.wsu.edu/Thesis/Fall2007/p_rashidi_120707.pdf.

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You, Wei. « Vision-based multiple user interaction with in-home large displays ». Thesis, University of British Columbia, 2008. http://hdl.handle.net/2429/5533.

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In-home large displays such as TVs are becoming larger in size, and more interactive in function. They start to be simultaneously used by multiple people for various tasks in a dynamic setting. User interface issues such as multiple users sharing the screen resources of the displays, and the usage of multiple control devices have begun to emerge. We assume horizontally laid out “personal interaction spaces” as the user interface for multiple users to manage their screen real-estate. In this case, users often need to sign in and out as well as have their personal spaces placed on the screen. Also, the limited number and complex usage of conventional remote controllers for TVs cannot satisfy the need of multiple interacting users. In this thesis, we consider a computer vision based system as a solution to the emerging user interface issues. We built a vision system that tracks the identities, positions and hand positions of people in front of a large display to support our user studies of screen real-estate management and multi-device management. We explore the usefulness of a vision system through two user studies. We designed the first study to compare the use of tracker-based mechanism versus manual ones for managing the display. Study Results suggest that the tracking system is especially useful for simplifying the user sign in/out process in conjunction with a manual method, and effective user-centric placement of people’s interaction spaces. As well, we designed a second study to explore whether contexts exist for lower fidelity, gesture-based “remote controllers” for manipulating on-screen objects. Study results show that gestural interfaces combined with high fidelity devices such as a mobile phone in a group gaming scenario can be useful for centralizing the control in the team and reducing errors. However, gestural control is only suitable for simple, once-in-awhile interaction.
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Dominici, Michele. « Contributing to energy efficiency through a user-centered smart home ». Phd thesis, Université Rennes 1, 2013. http://tel.archives-ouvertes.fr/tel-00869455.

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Smart homes are residences equipped with information and communication technologies that anticipate and respond to the needs of the occupants. Despite the numerous research and industrial efforts, today only few expensive smart homes have been built and sold. The reason behind this slow uptake is the technology-driven approach characterizing existing solutions. The doctoral Thesis aims at demonstrating that a smart home can provide functionalities designed with a user-centered approach, taking into account ergonomic considerations about domestic activity and human cognition. This is achieved in collaboration with cognitive ergonomists, which help "minding the gap" between human context and machine-understandable context. Using off-the-shelf and lightweight instrumentation (also minimizing privacy concerns), extending existing context modeling, reasoning and management tools and following the Ubiquitous Computing principles, the doctoral work led to the following achievements: (i) the inter-disciplinary design of suitable functionalities, in collaboration with cognitive ergonomists; (ii) the design of a context-aware system that captures and reasons about uncertain contextual information in a distributed fashion; (ii) the realization of a working prototype that demonstrates the provision of energy-saving and comfort-preserving functionalities.
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Livres sur le sujet "Home user"

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Reavis, Larry. The user-friendly home. [Front Royal, VA?] : Homexam, 1993.

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Neil, Anderson, dir. Home networking simplified : An illustrated home networking handbook for the everyday user. Indianapolis, Ind : Cisco Press, 2005.

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Rowley, Barbara. At home with Microsoft Bob : Ideas and activities for getting the most from your home PC. Redmond, Wash : Microsoft Press, 1995.

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Inkeles, Gordon. Ergonomic living : How to create a user-friendly home and office. New York : Simon & Schuster, 1994.

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Elliott, Hugh Gerard. The design of a user interface for a home shopping environment. [S.l : The author], 1994.

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Cruz, Ben De la. SOHO market analysis & forecast : Targeting the small office/home office online user. Sous la direction de Burka Karen et Simba Information Inc. Stamford, CT : SIMBA Information, 1996.

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Rowley, Barbara. At home with Microsoft Bob : Ideas and activities for getting the most from your home PC. Redmond, Wash : Microsoft Press, 1995.

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Connecting : A user-friendly guide to assembling your own audio/video home entertainment center. New York : Harper & Row, 1987.

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The contractor's legal kit : The complete, user-friendly legal guide for home builders and remodelers. Richmond, VT : Builderburg Group, 1996.

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The contractor's legal kit : The complete, user-friendly legal guide for home builders and remodelers. 2e éd. Williston, VT : Journal of Light Construction, 2003.

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Chapitres de livres sur le sujet "Home user"

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Corcella, Luca, Marco Manca et Fabio Paternò. « Personalizing a Student Home Behaviour ». Dans End-User Development, 18–33. Cham : Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-58735-6_2.

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Ranka, Sumeet, Vishal Singh et Mainak Choudhury. « USHEr : User Separation in Home Environment ». Dans Lecture Notes in Computer Science, 215–24. Cham : Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94523-1_19.

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De Carolis, Berardina. « Adapting Home Behavior to Its Inhabitants ». Dans User Modeling 2005, 282–86. Berlin, Heidelberg : Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11527886_37.

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Cohen, Bruce M. Z. « Crisis Intervention and Home Treatment ». Dans Mental Health User Narratives, 60–76. London : Palgrave Macmillan UK, 2008. http://dx.doi.org/10.1057/9780230593961_4.

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Demeure, A., S. Caffiau, E. Elias et C. Roux. « Building and Using Home Automation Systems : A Field Study ». Dans End-User Development, 125–40. Cham : Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-18425-8_9.

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Sofia, Rute. « User-Centric Networking : Bringing the Home Network to the Core ». Dans User-Centric Networking, 3–23. Cham : Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05218-2_1.

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Bilicki, Vilmos, Zoltán Rak, Miklós Kasza, Ádám Végh, Róbert Béládi et Tibor Gyimóthy. « End User Programming in Smart Home ». Dans Patterns, Programming and Everything, 19–29. London : Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2350-7_3.

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Promann, Marlen, Zhenyu Cheryl Qian et Yingjie Victor Chen. « Pitfalls and Potentials of Home Energy Monitoring Feedback : An Information Experience Critique ». Dans Design, User Experience, and Usability : Novel User Experiences, 494–506. Cham : Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-40355-7_47.

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Caliskanelli, Ipek, Samia Nefti-Meziani, Jonathan Drake et Anthony Hodgson. « My Intelligent Home (MiiHome) Project ». Dans Advances in Usability, User Experience and Assistive Technology, 786–97. Cham : Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94947-5_77.

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Cassano, Fabio, Antonio Piccinno et Paola Regina. « End-User Development in Speech Therapies : A Scenario in the Smart Home Domain ». Dans End-User Development, 158–65. Cham : Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-24781-2_11.

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Actes de conférences sur le sujet "Home user"

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Irwin, Germaine. « Perceptive Home Energy Interfaces ». Dans IUI'15 : IUI'15 20th International Conference on Intelligent User Interfaces. New York, NY, USA : ACM, 2015. http://dx.doi.org/10.1145/2732158.2732163.

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Bjelica, Milan Z., Bojan Mrazovac, Istvan Papp et Nikola Teslic. « User availability estimation prototype for home and office use ». Dans 2011 IEEE International Conference on Consumer Electronics (ICCE). IEEE, 2011. http://dx.doi.org/10.1109/icce.2011.5722571.

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Bapat, Tanuja, Neha Sengupta, Sunil Kumar Ghai, Vijay Arya, Yedendra Babu Shrinivasan et Deva Seetharam. « User-sensitive scheduling of home appliances ». Dans the 2nd ACM SIGCOMM workshop. New York, New York, USA : ACM Press, 2011. http://dx.doi.org/10.1145/2018536.2018546.

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Al-Kuwari, Ali Mohammed A. H., Cesar Ortega-Sanchez, Atif Sharif et Vidyasagar Potdar. « User friendly smart home infrastructure : BeeHouse ». Dans 2011 5th IEEE International Conference on Digital Ecosystems and Technologies (DEST). IEEE, 2011. http://dx.doi.org/10.1109/dest.2011.5936635.

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Röcker, Carsten, Maddy D. Janse, Nathalie Portolan et Norbert Streitz. « User requirements for intelligent home environments ». Dans the 2005 joint conference. New York, New York, USA : ACM Press, 2005. http://dx.doi.org/10.1145/1107548.1107581.

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Scholtz, Jean, Michael Mateas, Tony Salvador et Doug Sorensen. « User requirements analysis for the home ». Dans Conference companion. New York, New York, USA : ACM Press, 1996. http://dx.doi.org/10.1145/257089.257350.

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Shi, Xiaohong, Shuyi Huang, Yongsheng Rao et Xiangping Chen. « User Interface Layout Recommendation Based on Pairing Model ». Dans 2018 7th International Conference on Digital Home (ICDH). IEEE, 2018. http://dx.doi.org/10.1109/icdh.2018.00041.

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Wu, Huiyue, et Jianmin Wang. « User-Defined Body Gestures for TV-based Applications ». Dans 2012 4th International Conference on Digital Home (ICDH). IEEE, 2012. http://dx.doi.org/10.1109/icdh.2012.23.

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Wang, Jing, et Xiaola Lin. « User Dispersed Authentication Scheme for Wireless Sensor Networks ». Dans 2012 4th International Conference on Digital Home (ICDH). IEEE, 2012. http://dx.doi.org/10.1109/icdh.2012.48.

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Song, Donglu, Yujia Wang et Fang You. « Study on WeChat User Behaviors of University Graduates ». Dans 2014 5th International Conference on Digital Home (ICDH). IEEE, 2014. http://dx.doi.org/10.1109/icdh.2014.73.

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Rapports d'organisations sur le sujet "Home 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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Liaukus, C. Reducing Energy Use in Existing Homes by 30% : Learning From Home Performance with ENERGY STAR. Office of Scientific and Technical Information (OSTI), décembre 2014. http://dx.doi.org/10.2172/1220397.

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Liaukus, C. Reducing Energy Use in Existing Homes by 30% : Learning From Home Performance with ENERGY STAR. Office of Scientific and Technical Information (OSTI), décembre 2014. http://dx.doi.org/10.2172/1166675.

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Grabowski, David, et Jonathan Gruber. Moral Hazard in Nursing Home Use. Cambridge, MA : National Bureau of Economic Research, octobre 2005. http://dx.doi.org/10.3386/w11723.

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Gettings, M. B. Manufactured Home Energy Audit (MHEA)Users Manual (Version 7). Office of Scientific and Technical Information (OSTI), janvier 2003. http://dx.doi.org/10.2172/885727.

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Stall, Nathan M., Kevin A. Brown, Antonina Maltsev, Aaron Jones, Andrew P. Costa, Vanessa Allen, Adalsteinn D. Brown et al. COVID-19 and Ontario’s Long-Term Care Homes. Ontario COVID-19 Science Advisory Table, janvier 2021. http://dx.doi.org/10.47326/ocsat.2021.02.07.1.0.

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Key Message Ontario long-term care (LTC) home residents have experienced disproportionately high morbidity and mortality, both from COVID-19 and from the conditions associated with the COVID-19 pandemic. There are several measures that could be effective in preventing COVID-19 outbreaks, hospitalizations, and deaths in Ontario’s LTC homes, if implemented. First, temporary staffing could be minimized by improving staff working conditions. Second, homes could be further decrowded by a continued disallowance of three- and four-resident rooms and additional temporary housing for the most crowded homes. Third, the risk of SARS-CoV-2 infection in staff could be minimized by approaches that reduce the risk of transmission in communities with a high burden of COVID-19. Summary Background The Province of Ontario has 626 licensed LTC homes and 77,257 long-stay beds; 58% of homes are privately owned, 24% are non-profit/charitable, 16% are municipal. LTC homes were strongly affected during Ontario’s first and second waves of the COVID-19 pandemic. Questions What do we know about the first and second waves of COVID-19 in Ontario LTC homes? Which risk factors are associated with COVID-19 outbreaks in Ontario LTC homes and the extent and death rates associated with outbreaks? What has been the impact of the COVID-19 pandemic on the general health and wellbeing of LTC residents? How has the existing Ontario evidence on COVID-19 in LTC settings been used to support public health interventions and policy changes in these settings? What are the further measures that could be effective in preventing COVID-19 outbreaks, hospitalizations, and deaths in Ontario’s LTC homes? Findings As of January 14, 2021, a total of 3,211 Ontario LTC home residents have died of COVID-19, totaling 60.7% of all 5,289 COVID-19 deaths in Ontario to date. There have now been more cumulative LTC home outbreaks during the second wave as compared with the first wave. The infection and death rates among LTC residents have been lower during the second wave, as compared with the first wave, and a greater number of LTC outbreaks have involved only staff infections. The growth rate of SARS-CoV-2 infections among LTC residents was slower during the first two months of the second wave in September and October 2020, as compared with the first wave. However, the growth rate after the two-month mark is comparatively faster during the second wave. The majority of second wave infections and deaths in LTC homes have occurred between December 1, 2020, and January 14, 2021 (most recent date of data extraction prior to publication). This highlights the recent intensification of the COVID-19 pandemic in LTC homes that has mirrored the recent increase in community transmission of SARS-CoV-2 across Ontario. Evidence from Ontario demonstrates that the risk factors for SARS-CoV-2 outbreaks and subsequent deaths in LTC are distinct from the risk factors for outbreaks and deaths in the community (Figure 1). The most important risk factors for whether a LTC home will experience an outbreak is the daily incidence of SARS-CoV-2 infections in the communities surrounding the home and the occurrence of staff infections. The most important risk factors for the magnitude of an outbreak and the number of resulting resident deaths are older design, chain ownership, and crowding. Figure 1. Anatomy of Outbreaks and Spread of COVID-19 in LTC Homes and Among Residents Figure from Peter Hamilton, personal communication. Many Ontario LTC home residents have experienced severe and potentially irreversible physical, cognitive, psychological, and functional declines as a result of precautionary public health interventions imposed on homes, such as limiting access to general visitors and essential caregivers, resident absences, and group activities. There has also been an increase in the prescribing of psychoactive drugs to Ontario LTC residents. The accumulating evidence on COVID-19 in Ontario’s LTC homes has been leveraged in several ways to support public health interventions and policy during the pandemic. Ontario evidence showed that SARS-CoV-2 infections among LTC staff was associated with subsequent COVID-19 deaths among LTC residents, which motivated a public order to restrict LTC staff from working in more than one LTC home in the first wave. Emerging Ontario evidence on risk factors for LTC home outbreaks and deaths has been incorporated into provincial pandemic surveillance tools. Public health directives now attempt to limit crowding in LTC homes by restricting occupancy to two residents per room. The LTC visitor policy was also revised to designate a maximum of two essential caregivers who can visit residents without time limits, including when a home is experiencing an outbreak. Several further measures could be effective in preventing COVID-19 outbreaks, hospitalizations, and deaths in Ontario’s LTC homes. First, temporary staffing could be minimized by improving staff working conditions. Second, the risk of SARS-CoV-2 infection in staff could be minimized by measures that reduce the risk of transmission in communities with a high burden of COVID-19. Third, LTC homes could be further decrowded by a continued disallowance of three- and four-resident rooms and additional temporary housing for the most crowded homes. Other important issues include improved prevention and detection of SARS-CoV-2 infection in LTC staff, enhanced infection prevention and control (IPAC) capacity within the LTC homes, a more balanced and nuanced approach to public health measures and IPAC strategies in LTC homes, strategies to promote vaccine acceptance amongst residents and staff, and further improving data collection on LTC homes, residents, staff, visitors and essential caregivers for the duration of the COVID-19 pandemic. Interpretation Comparisons of the first and second waves of the COVID-19 pandemic in the LTC setting reveal improvement in some but not all epidemiological indicators. Despite this, the second wave is now intensifying within LTC homes and without action we will likely experience a substantial additional loss of life before the widespread administration and time-dependent maximal effectiveness of COVID-19 vaccines. The predictors of outbreaks, the spread of infection, and deaths in Ontario’s LTC homes are well documented and have remained unchanged between the first and the second wave. Some of the evidence on COVID-19 in Ontario’s LTC homes has been effectively leveraged to support public health interventions and policies. Several further measures, if implemented, have the potential to prevent additional LTC home COVID-19 outbreaks and deaths.
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Damiano, Peter C., Ki Park et Kristi Law. Health Information Technology use in Iowa Home Health Agencies. Iowa City, Iowa : University of Iowa Public Policy Center, novembre 2010. http://dx.doi.org/10.17077/oxub-0j1b.

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Rosen, K. B., et A. K. Meier. Energy Use of Home Audio Products in the U.S. Office of Scientific and Technical Information (OSTI), décembre 1999. http://dx.doi.org/10.2172/764341.

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Malamud, Ofer, et Cristian Pop-Eleches. Home Computer Use and the Development of Human Capital. Cambridge, MA : National Bureau of Economic Research, mars 2010. http://dx.doi.org/10.3386/w15814.

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Leicester, Andrew. How might in-home scanner technology be used in budget surveys ? Institute for Fiscal Studies, février 2012. http://dx.doi.org/10.1920/wp.ifs.2012.1201.

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