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Articles de revues sur le sujet « Home user »

Auteur : Grafiati

Publié le 4 juin 2021

Mis à jour le 18 février 2022

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1

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, n^o 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, n^o 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, n^o 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, n^o 2 (4 mai 2016) : 75–91. http://dx.doi.org/10.1007/s40860-016-0020-z.

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5

Cho, Younjoo, et Anseop Choi. « Application of Affordance Factors for User-Centered Smart Homes : A Case Study Approach ». Sustainability 12, n^o 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, n^o 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, n^o 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, n^o 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, n^o 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, n^o 3-4 (13 décembre 2012) : 331–38. http://dx.doi.org/10.1111/j.1365-2702.2012.04304.x.

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Mantzouranis, E. C. « User Friendliness Aspects of Home Care Telematics ». Methods of Information in Medicine 41, n^o 05 (2002) : 370–75. http://dx.doi.org/10.1055/s-0038-1634454.

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Summary Objectives: Asthma is the most common chronic childhood disease with a high number of admissions and emergency room visits in pediatric hospitals. Treatment of asthmatic patients is best done by asthma specialists and requires the chronic use of prophylactic medications, additional treatment for acute exacerbations and regular check-ups. In Crete, a Greek island, there are many children with asthma who are not receiving care by an asthma specialist. The only specialty clinic for asthmatic children in Crete is in Heraklion, a city in the center of the island. We attempted to use telemedicine in order to reach and follow children with asthma who live in distant areas in Crete. Methods: We set up a pilot telemedicine program with 10 asthmatic children already followed at the Specialty Clinic. Using teleconferencing techniques, we were able to obtain the medical history, examine the patients, educate them about the disease and adjust the treatment. Results: The parents of patients accepted the tele-medicine service with a percentage of 90% and showed a special interest in this new service. Conclusions: We conclude that telemedicine for asthmatic children performed by their specialist is feasible and accepted by the majority of patients.

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Delguste, P., et D. Rodenstein. « Home ventilation : need a user support number ? » European Respiratory Journal 35, n^o 2 (1 février 2010) : 243–44. http://dx.doi.org/10.1183/09031936.00162809.

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13

Park, Joo Hyun, et Han Young Ryoo. « User Perception of the Home Robot Price ». International Journal of Advanced Science and Technology 115 (30 juin 2018) : 87–98. http://dx.doi.org/10.14257/ijast.2018.115.09.

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Zheng, Serena, Noah Apthorpe, Marshini Chetty et Nick Feamster. « User Perceptions of Smart Home IoT Privacy ». Proceedings of the ACM on Human-Computer Interaction 2, CSCW (novembre 2018) : 1–20. http://dx.doi.org/10.1145/3274469.

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15

Fujita, Y., et S. Lam. « Menu driven user interface for home system ». IEEE Transactions on Consumer Electronics 40, n^o 3 (1994) : 587–97. http://dx.doi.org/10.1109/30.320845.

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16

Mierzwinski, Eugene P. « User-Friendly Touch Controls for Home Appliances ». IEEE Transactions on Industry Applications IA-21, n^o 4 (juillet 1985) : 889–95. http://dx.doi.org/10.1109/tia.1985.349537.

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17

Hussain, Sajid, Senol Zafer Erdogen et Jong Hyuk Park. « Monitoring user activities in smart home environments ». Information Systems Frontiers 11, n^o 5 (21 juin 2008) : 539–49. http://dx.doi.org/10.1007/s10796-008-9124-1.

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Hussain, Sajid, Senol Zafer Erdogan et Jong Hyuk Park. « Monitoring user activities in smart home environments ». Information Systems Frontiers 11, n^o 5 (30 juillet 2008) : 537. http://dx.doi.org/10.1007/s10796-008-9132-1.

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19

Hyysalo, Sampsa, Jouni K. Juntunen et Stephanie Freeman. « User innovation in sustainable home energy technologies ». Energy Policy 55 (avril 2013) : 490–500. http://dx.doi.org/10.1016/j.enpol.2012.12.038.

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20

Bonino, Dario, Fulvio Corno et Luigi De Russis. « Home energy consumption feedback : A user survey ». Energy and Buildings 47 (avril 2012) : 383–93. http://dx.doi.org/10.1016/j.enbuild.2011.12.017.

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Intille, S. S., K. Larson et P. Kaushik. « User-adaptive Reminders for Home-based Medical Tasks ». Methods of Information in Medicine 47, n^o 03 (2008) : 203–7. http://dx.doi.org/10.3414/me9111.

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Summary Objectives: We present a prototype adaptive reminder system for home-based medical tasks. The system consists of a mobile device for reminder presentation and ambient sensors to determine opportune moments for reminder delivery. Our objective was to study interaction with the prototype under naturalistic living conditions and gain insight into factors affecting the longterm acceptability of context-sensitive reminder systems for the home setting. Methods: A volunteer participant used the prototype in a residential research facility while adhering to a regimen of simulated medical tasks for ten days. Some reminders were scheduled at fixed times during the day and some were automatically time-shifted based on sensor data. We made a complete video and sensor record of the stay. Finally, the participant commented about his experiences with the system in a debriefing interview. Results: Based on this case study, including direct observation of individual alert-action sequences, we make four recommendations for designers of context-sensitive adaptive reminder systems. Captured metrics suggest that adaptive reminders led to faster reaction times and were perceived by the participant as being more useful. Conclusions: The evaluation of context-sensitive systems that overlap into domestic lives is challenging. We believe that the ideal experiment is to deploy such systems in real homes and assess performance longitudinally. This case study in an instrumented live-in facility is a step toward that long-term goal.

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Martins, Flavio, Maria Fatima Almeida, Rodrigo Calili et Agatha Oliveira. « Design Thinking Applied to Smart Home Projects : A User-Centric and Sustainable Perspective ». Sustainability 12, n^o 23 (1 décembre 2020) : 10031. http://dx.doi.org/10.3390/su122310031.

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This paper aims to propose a conceptual model to create and select smart home conceptions from the user-centric and sustainable perspective, using the Design Thinking approach. Although considerable research has been devoted to smart homes in the last two decades, gaps are evident in current research concerning the creation and selection of smart home conceptions from both user-centric and sustainable perspectives. A systematic literature review covering the period 2000–2020 indicated that Design Thinking (DT) has rarely been exploited in smart home projects. The applicability of the proposed model could be demonstrated in the context of a smart home project in Brazil (NO.V.A. Project) conducted by an energy distribution player in this country in cooperation with two local universities and other institutional partners. The replication of this approach in smart home projects will allow decision-makers and project managers to place future residents at the center of the smart home design, creating and selecting the best conceptions that will meet users’ desires, expectations, and needs that can be transformed into reality.

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Yamauchi, Masaaki, Yuichi Ohsita, Masayuki Murata, Kensuke Ueda et Yoshiaki Kato. « Anomaly Detection in Smart Home Operation From User Behaviors and Home Conditions ». IEEE Transactions on Consumer Electronics 66, n^o 2 (mai 2020) : 183–92. http://dx.doi.org/10.1109/tce.2020.2981636.

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Harjumaa, Marja, Igone Idigoras, Minna Isomursu et Ainara Garzo. « Expectations and user experience of a multimodal medicine management system for older users ». Journal of Assistive Technologies 8, n^o 2 (10 juin 2014) : 51–63. http://dx.doi.org/10.1108/jat-10-2013-0031.

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Purpose – The purpose of this paper is to analyse the adoption of a multimodal medication management system (MMS) targeted on older people and home care professionals. The paper aims to describe the expectations of the system and the user experience findings from an empirical qualitative field trial. The field trial results are used to discuss how MMSs should be designed in order to improve adherence to medications. Design/methodology/approach – The paper suggests that building a multimodal medicine management system targeted on both older users and home care professionals brings many benefits over electronic medicine dispenser systems or general reminder systems. The research process uses an iterative prototyping approach including phases of requirements analysis and concept design, prototype building and evaluation in a field trial. Findings – The study demonstrates how a system that merely satisfied users during the prototype building phase does not necessarily succeed as well as expected in the field trials. It would be important to consider reasons for medication non-adherence and non-technology factors influencing willingness to adopt new assistive devices in order to promote diffusion of new MMSs at home. The paper also discusses how the different persuasive functionalities of the system addressed patient-centred factors influencing non-adherence and how they could be addressed. Research limitations/implications – This study has some limitations. The actual adherence to medications was not measured. However, in the future, it will be important to study how the MMSs influence medication adherence. Also, the user experiences of the home care professionals were not studied in the field trials. Home care professionals who were involved in the user studies and trials merely estimated the value for their patients and not for themselves. Originality/value – This paper analyses design issues relevant when designing systems to help older people manage their medications.

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Zimmermann, Verena, Paul Gerber, Karola Marky, Leon Böck et Florian Kirchbuchner. « Assessing Users’ Privacy and Security Concerns of Smart Home Technologies ». i-com 18, n^o 3 (18 novembre 2019) : 197–216. http://dx.doi.org/10.1515/icom-2019-0015.

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AbstractSmart Home technologies have the potential to increase the quality of life, home security and facilitate elderly care. Therefore, they require access to a plethora of data about the users’ homes and private lives. Resulting security and privacy concerns form a relevant barrier to adopting this promising technology. Aiming to support end users’ informed decision-making through addressing the concerns we first conducted semi-structured interviews with 42 potential and little-experienced Smart Home users. Their diverse concerns were clustered into four themes that center around attacks on Smart Home data and devices, the perceived loss of control, the trade-off between functionality and security, and user-centric concerns as compared to concerns on a societal level. Second, we discuss measures to address the four themes from an interdisciplinary perspective. The paper concludes with recommendations for addressing user concerns and for supporting developers in designing user-centered Smart Home technologies.

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26

Poveda Zavala, Sebastián, Kelvin Ortíz Chicaiza, José Luis Murillo López, Juan Sulca et Sang Guun Yoo. « BCI Based Home Automation using User Controlled Blinks ». Journal of Engineering and Applied Sciences 15, n^o 6 (2 janvier 2020) : 1377–84. http://dx.doi.org/10.36478/jeasci.2020.1377.1384.

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Patterson, Patricia A. « Guidance for Manufacturers : Designing Effective Home User Labeling ». Biomedical Instrumentation & ; Technology 47, s1 (1 janvier 2013) : 33–36. http://dx.doi.org/10.2345/0899-8205-47.s1.33.

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Collins-Mitchell, Janette, Diana Kaufman-Rivi, Simran Singh, Lisa Winstel et Mary Weick-Brady. « Home User Survey : Medical Device Labeling Instruction Information ». Biomedical Instrumentation & ; Technology 47, s1 (1 janvier 2013) : 37–41. http://dx.doi.org/10.2345/0899-8205-47.s1.37.

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29

John, Abraham. « User Authentication for Smart Home using IoT Devices ». International Journal of Advances in Computer Science and Technology 9, n^o 6 (25 juin 2020) : 20–24. http://dx.doi.org/10.30534/ijacst/2020/04962020.

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Ha, Tae Seung, Ji Hong Jung et Sung Yong Oh. « Method to analyze user behavior in home environment ». Personal and Ubiquitous Computing 10, n^o 2-3 (4 novembre 2005) : 110–21. http://dx.doi.org/10.1007/s00779-005-0016-9.

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31

Bae, Hong-Min, Shin-Il Seo et Byung-Seo Kim. « Home Automation System through Learning User Life Pattern ». Journal of Korea Institute of Information, Electronics, and Communication Technology 8, n^o 2 (28 avril 2015) : 79–85. http://dx.doi.org/10.17661/jkiiect.2015.8.2.079.

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32

Baillie, Lynne, et Raimund Schatz. « A Lightweight, User-Controlled System for the Home ». Human Technology : An Interdisciplinary Journal on Humans in ICT Environments 2, n^o 1 (30 avril 2006) : 84–102. http://dx.doi.org/10.17011/ht/urn.2006160.

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33

McHale, Nina. « Toward a User-Centered Academic Library Home Page ». Journal of Web Librarianship 2, n^o 2-3 (3 septembre 2008) : 139–76. http://dx.doi.org/10.1080/19322900802205825.

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Wakefield, Bonnie J., Lindsay J. Orris, John E. Holman et Cynthia L. Russell. « User Perceptions of In-Home Medication Dispensing Devices ». Journal of Gerontological Nursing 34, n^o 7 (1 juillet 2008) : 15–25. http://dx.doi.org/10.3928/00989134-20080701-10.

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35

Bougant, F., F. Delmond et C. Pageot-Millet. « The user profile for the virtual home environment ». IEEE Communications Magazine 41, n^o 1 (janvier 2003) : 93–98. http://dx.doi.org/10.1109/mcom.2003.1166662.

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Petäkoski-Hult, Tuula, Juho Merilahti, Harri Kailanto, Mari Zakrzewski et Heidi Lahti. « User Acceptance and Technology Supporting Rehabilitation at Home ». International Journal of Rehabilitation Research 32 (août 2009) : S73. http://dx.doi.org/10.1097/00004356-200908001-00095.

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37

Corcoran, P. M., F. Papal et A. Zoldi. « User interface technologies for home appliances and networks ». IEEE Transactions on Consumer Electronics 44, n^o 3 (1998) : 679–85. http://dx.doi.org/10.1109/30.713181.

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Ming Hoe, Hui, et Md Pauzi Abdullah. « Smart home appliances scheduling considering user comfort level ». Indonesian Journal of Electrical Engineering and Computer Science 20, n^o 2 (1 novembre 2020) : 593. http://dx.doi.org/10.11591/ijeecs.v20.i2.pp593-601.

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<a name="_Hlk38174666"></a><span>Smart home appliances scheduling, employing optimization optimization algorithms to reduce utility costs, is gaining traction under the introduction of time-of-use tariffs and the development of Internet of Things (IoT). The prior electricity cost reduction scheduling algorithms, however, causes substantial discomfort to users for restricting users from using the appliances at their desired times. To address the problem, a novel versatile systematic method is proposed by pricing the mismatch of proposed schedule with users’ usage preference pattern to quantify discomfort, coupled with comfort-cost weight factor. The method employing customizable user preference patterns, user-perceived pricing of mismatch and user-specified comfort-savings weightage, not only captures the complex dependence of comfort to individual preference, but the evolution with time by continuous user survey. The proposed method, formulated to be simple enough to be applied on an Excel spreadsheet, demonstrates substantial reduction of electricity cost and users’ discomfort simultaneously. Studies on the algorithm found it to be robust against of fluctuations of parameters, with optimization performance comparable to prior work. The work demonstrates that despite the complex nature of comfort to users’ behaviors and perception, simple pricing surveys can be used to accurately quantify, compare and optimize users’ comfort together with economic savings. </span>

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Brich, Julia, Marcel Walch, Michael Rietzler, Michael Weber et Florian Schaub. « Exploring End User Programming Needs in Home Automation ». ACM Transactions on Computer-Human Interaction 24, n^o 2 (12 mai 2017) : 1–35. http://dx.doi.org/10.1145/3057858.

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Reiterer, Bernhard, Cyril Concolato, Janine Lachner, Jean Le Feuvre, Jean-Claude Moissinac, Stefano Lenzi, Stefano Chessa, Enrique Fernández Ferrá, Juan José González Menaya et Hermann Hellwagner. « User-centric universal multimedia access in home networks ». Visual Computer 24, n^o 7-9 (10 juin 2008) : 837–45. http://dx.doi.org/10.1007/s00371-008-0265-5.

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Chang, Soojung, et Kyeongsook Nam. « Smart Home Adoption : The Impact of User Characteristics and Differences in Perception of Benefits ». Buildings 11, n^o 9 (3 septembre 2021) : 393. http://dx.doi.org/10.3390/buildings11090393.

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Despite the various benefits offered by smart homes, they have not yet been widely adopted by mainstream users. This study was designed to identify user perceptions in the association between smart home service preference and adoption and to identify factors affecting the adoption and service preferences of smart homes. In order to achieve the goal of the study, an online survey was conducted among 400 potential users in the Republic of Korea. The main findings are as follows: First, there were considerable needs for the services that can support the independent lives of residents, such as safety and convenience services, among all age groups. Second, the study findings suggested that those who preferred environmental control service most were more likely to become relatively active adopters. Third, a significant association between the preference for smart home services and the intention to use was identified. Finally, the study findings suggested that the number of service preferences and adoption was not directly proportional. The findings reported in this study can improve the overall understanding of the process of adopting smart homes, and can provide important insights into user-centered strategies to promote the adoption of smart home services.

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Xue, Yanmin, Jinying Wang et Xuyang Zhang. « Research on user experience of smart home under the development of Internet ». E3S Web of Conferences 179 (2020) : 02060. http://dx.doi.org/10.1051/e3sconf/202017902060.

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This paper aims to study the current situation and prospect of user experience of different smart products in smart home under the modern Internet. Through the analysis of the relationship between the user’s demand level and smart home, as well as the current situation and problems of existing products in the market, this paper studies the user demand and user experience. It is concluded that to make smart home into every user’s home, we need to fully consider the user experience in the design, and pay attention to the user’s functional needs, emotional needs and interactive experience needs. Thus, smart home becomes a meaningful home system to help users’ lives.

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Mattie, Johanne L., Jaimie F. Borisoff, Angie S. Wong et William C. Miller. « User perceptions of existing home access solutions and a novel home access device ». Disability and Rehabilitation : Assistive Technology 11, n^o 8 (27 mars 2015) : 668–77. http://dx.doi.org/10.3109/17483107.2015.1027302.

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Xian, Diyan, et Shihua Xu. « Analysis of User Preferences for Smart Home Products in Minshuku ». E3S Web of Conferences 275 (2021) : 03043. http://dx.doi.org/10.1051/e3sconf/202127503043.

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Smart Home Products(SHP) have been developing for more than ten years and getting more favored by customers. There are many kinds of products with different functions. In addition to ordinary home users, Minshuku hosts, hotel owners also employ smart home products to manage the houses/apartments. There may be differences in the demand preferences and types of smart home products between Minshuku users and home users. This paper classified the smart home products by functions, and analyzed the demand preferences of minshuku users for these products through questionnaire survey and interviews. Exploring these user requirements and scenarios in which product used can promote the R & D and the iteration of intelligent products.

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Mashal, Ibrahim, et Ahmed Shuhaiber. « What makes Jordanian residents buy smart home devices ? » Kybernetes 48, n^o 8 (2 septembre 2019) : 1681–98. http://dx.doi.org/10.1108/k-01-2018-0008.

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Purpose Smart homes are recent Internet of Things applications that aim to improve residents’ quality of life. Despite its potential, the adoption of smart homes, in general, and its devices and appliances, in specific, is not reaching a mass market yet. This study aims to investigate the factors that influence residents’ intention to buy smart homes devices in Jordan. Design/methodology/approach This paper proposes a novel model to study users’ intention to buy smart homes devices by following a quantitative method. Responses were collected and statistically analyzed from 375 households using structural equation modeling. Findings Results show that user awareness, perceived cost, perceived enjoyment, personalization, user trust and social influences significantly influence the intention to buy smart home devices. Originality/value To the best of the authors’ knowledge, this paper is the first study attempts to predict intention to buy smart home devices in Jordan. The findings provide meaningful implications for smart home devices providers.

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46

Haines, Victoria, Val Mitchell, Catherine Cooper et Martin Maguire. « Probing user values in the home environment within a technology driven Smart Home project ». Personal and Ubiquitous Computing 11, n^o 5 (19 juillet 2006) : 349–59. http://dx.doi.org/10.1007/s00779-006-0075-6.

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47

Takama, Yasufumi, et Hiroki Namba. « Investigation on Robot User Interface for Information Access ». Journal of Advanced Computational Intelligence and Intelligent Informatics 14, n^o 3 (20 avril 2010) : 316–22. http://dx.doi.org/10.20965/jaciii.2010.p0316.

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This paper investigates the characteristics of robots for non-industrial use such as home robots, when those are used as an interface for accessing information. Although information support is one of important capabilities home robots should have, the merits of accessing information via a robot compared with the access via PC or a mobile phone have yet to be fully explored. This paper focuses on the physical presence of robots, which is supposed to be important for robots to provide users with information. In order to investigate the merits, two experiments with participants are performed in this paper. The main contributions of the paper are the following points. First, it is shown that a robot can effectively attract the participants through movements, even though they pay less attention to it. Second, the possibility of using robot actions for providing additional information about information to be accessed by the participant is also investigated. Finally, the effect of a robot User Interface (UI) prototype on communication among users when providing information to them is also investigated. The obtained results support the significance of information support by home robots, which will be used for designing home robots with information support facility.

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Banerjee, Amit, Mohd Sameen Chishti et Sunjay Kumar. « Implementing secure smart home using existing infrastructure ». Sistemas y Telemática 15, n^o 43 (6 décembre 2017) : 9–18. http://dx.doi.org/10.18046/syt.v15i43.2710.

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The emergence of Internet of Things [IoT] paves the path of the smart home. A smart home learns the habits of residents to make intelligent decision, which requires knowledge to be communicated and stored. The communication of generated data creates loop-hole in security and privacy of the user of smart home. Another challenging issue while designing a smart home is that legacy home appliances lack the smart connectivity. This paper focuses on designing a secure architecture to access smart home appliances, while using the existing home appliances that lacks networking and processing power like a bulb or fan. To ensure secure communication using internet, we are using third party authentication tool deployed in cloud. We have installed a gateway as the entry point to our smart home and connected all the appliances to it. The user is authenticated by authentication server and gets access to the services. For implementation purpose, we used Kerberos as authentication tool and DragonBoard as gateway.

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Sunyup Park et Jun, Soo-Jin. « A Study of User-Centered Smart Home Interaction Framework ». Journal of Integrated Design Research 18, n^o 3 (septembre 2019) : 59–75. http://dx.doi.org/10.21195/jidr.2019.18.3.004.

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Shirali-Shahreza, Sajad, et Yashar Ganjali. « Protecting Home User Devices with an SDN-Based Firewall ». IEEE Transactions on Consumer Electronics 64, n^o 1 (février 2018) : 92–100. http://dx.doi.org/10.1109/tce.2018.2811261.

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