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Journal articles on the topic 'Human-Home Interaction'

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1

Rodgers, Johnny, Lyn Bartram, and Rob Woodbury. "Challenges in sustainable human-home interaction." XRDS: Crossroads, The ACM Magazine for Students 17, no. 4 (2011): 42–46. http://dx.doi.org/10.1145/1961678.1961686.

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Patil, Ashwini Hemant. "THE IMPACT OF HUMAN-COMPUTER INTERACTION ON SMART HOME SYSTEM." Journal of Commerce, Economics & Computer Science 11, no. 02 (2025): 24–28. https://doi.org/10.62823/jcecs/11.02.7515.

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The adventure of Human Computer Interaction (HCI) or Man-Machine Interaction or Interfacing (MMI), has ushered in a lot of innovations, bringing about greater development in relation to smart homes. The rise of pervasive computing has significantly influenced modern technological advancements. Human-Computer Interaction (HCI) is an interactive process that encompasses both users and technological systems, ensuring that both usability and functional goals are met. Smart home technologies empower users to manage their living environments through the automation of various systems, such as lightin
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3

Leitner, Gerhard, Martin Hitz, Anton J. Fercher, and John N. A. Brown. "Aspekte der Human Computer Interaction im Smart Home." HMD Praxis der Wirtschaftsinformatik 50, no. 6 (2013): 37–47. http://dx.doi.org/10.1007/bf03342067.

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Yan, Yan, Natasha Khalil, and Irwan Mohammad Ali. "EXPLORING THE KEY VARIABLES OF HUMAN-COMPUTER INTERACTION (HCI) CHARACTERISTICS FOR SMART HOME DESIGN." Malaysian Journal of Sustainable Environment 11, no. 3 (2024): 17–36. https://doi.org/10.24191/myse.v11i3.3899.

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With the rapid development of the Internet of Things and artificial intelligence technology, the smart home system has become an important part of the modern living environment. Human-Computer Interaction (HCI), is a key factor of smart home user experience, the optimization of its mode and attributes is crucial to improve user satisfaction. Smart home system provides a convenient life experience, but the complex interaction mode and unclear interaction attributes may lead to user operation difficulties and affect user acceptance. Therefore, a further study of the mode and attributes of HCI is
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Mokhtar, Tarek H., and Joseph Manganelli. "Designing Human-Robotic Interactions for an interactive Home+Exercise (iHE) Environment." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 66, no. 1 (2022): 1785–89. http://dx.doi.org/10.1177/1071181322661214.

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This research investigated how home exercise systems may evolve when augmented with human-robot-interaction technologies. In a covid/post-covid era, families seek options for play and exercise at home. How will the homes of tomorrow accommodate the dynamic, intensive, and social nature of human play, exercise, and sports? What does a home play/exercise system entail that is usable by individuals or groups of all ages and that fosters developing the physical, cognitive, social, and distributed dimensions of sports activities? This research explores an interactive “Home+Exercise” (iHE) concept.
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Lee, Joohyun, and Hyo-Jin Kang. "Artificial Empathy in Home Service Agents: A Conceptual Framework and Typology of Empathic Human–Agent Interactions." Applied Sciences 15, no. 6 (2025): 3096. https://doi.org/10.3390/app15063096.

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As artificial intelligence (AI) technology advances, there has been a diversification of home service functions and services, as well as a change in the applied technologies and functions. This is due to the fact that the needs and expectations vary depending on the purpose of performing the task in the same environment. Although interactions with AI often occur in the home environment, which is a personal space, there is a need for research that examines interactions in consideration of the concept of empathy. This study thus aims to identify previous studies that examine the interaction betw
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Koay, Kheng Lee, Dag Sverre Syrdal, Kerstin Dautenhahn, and Michael L. Walters. "A narrative approach to human-robot interaction prototyping for companion robots." Paladyn, Journal of Behavioral Robotics 11, no. 1 (2020): 66–85. http://dx.doi.org/10.1515/pjbr-2020-0003.

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AbstractThis paper presents a proof of concept prototype study for domestic home robot companions, using a narrative-based methodology based on the principles of immersive engagement and fictional enquiry, creating scenarios which are inter-connected through a coherent narrative arc, to encourage participant immersion within a realistic setting. The aim was to ground human interactions with this technology in a coherent, meaningful experience. Nine participants interacted with a robotic agent in a smart home environment twice a week over a month, with each interaction framed within a greater n
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Kunkun Du, and Zhiliang Wang. "Chinese Human-Computer Interaction System on Smart Home of IOT." Journal of Convergence Information Technology 7, no. 23 (2012): 528–36. http://dx.doi.org/10.4156/jcit.vol7.issue23.62.

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9

Chi, Hao, and Sang-ug Kang. "Multiobjective Metaheuristic Load Control Algorithm for Interaction between Smart Home and Humans." Mathematical Problems in Engineering 2022 (February 8, 2022): 1–9. http://dx.doi.org/10.1155/2022/2210159.

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Technology has boosted electric power consumption both locally and worldwide, resulting in a substantial increase in demand for electric power. A multiobjective smart house human-computer interaction load control method is suggested to meet the goal of lowering power usage and pricing in smart home load control. It presents a model that includes marginal costs and establishes an electricity price model that takes the load rate into account. It identifies switch appliances and temperature control appliances and gathers human activities, indoor and outdoor temperature, and light intensity using
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10

Peng, Weilong, Cong Li, Keke Tang, Xianyong Liu, and Meie Fang. "HOME: 3D Human–Object Mesh Topology-Enhanced Interaction Recognition in Images." Mathematics 10, no. 16 (2022): 2841. http://dx.doi.org/10.3390/math10162841.

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Human–object interaction (HOI) recognition is a very challenging task due to the ambiguity brought by occlusions, viewpoints, and poses. Because of the limited interaction information in the image domain, extracting 3D features of a point cloud has been an important means to improve the recognition performance of HOI. However, the features neglect topological features of adjacent points at low level, and the deep topology relation between a human and an object at high level. In this paper, we present a 3D human–object mesh topology enhanced method (HOME) for HOI recognition in images. In the m
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11

Ali, Safinah, and Daniella DiPaola. "Readying Robots for the Home: The Evolution of Human-Robot Interaction." XRDS: Crossroads, The ACM Magazine for Students 30, no. 1 (2023): 6–7. http://dx.doi.org/10.1145/3611677.

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12

Cui, Jiajun. "Research on human-computer interaction and user experience of smart home system." Applied and Computational Engineering 40, no. 1 (2024): 234–41. http://dx.doi.org/10.54254/2755-2721/40/20230657.

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This article aims to present a perceptive summary of cutting-edge home automation systems, exploring basic topics including human-computer interaction, communication technologies, networking protocols, and the fascinating science underlying the industry's most well-known applicationthe robotic vacuum cleaner. Put succinctly, using intelligent sweeping robots in smart homes signifies a significant advancement in machine autonomy and artificial intelligence. Furthermore, integrating renewable energy and grid management solutions with smart home systems will be fueled by the pursuit of sustainabi
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13

Le, Hoang H., Martin J. Loomes, and Rui CV Loureiro. "AI enhanced collaborative human-machine interactions for home-based telerehabilitation." Journal of Rehabilitation and Assistive Technologies Engineering 10 (January 2023): 205566832311567. http://dx.doi.org/10.1177/20556683231156788.

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The use of robots in a telerehabilitation paradigm could facilitate the delivery of rehabilitation on demand while reducing transportation time and cost. As a result, it helps to motivate patients to exercise frequently in a more comfortable home environment. However, for such a paradigm to work, it is essential that the robustness of the system is not compromised due to network latency, jitter, and delay of the internet. This paper proposes a solution to data loss compensation to maintain the quality of the interaction between the user and the system. Data collected from a well-defined collab
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Nartova-Bochaver, S. K., and A. A. Adamyan. "Forgiveness and home environment as aspects of interpersonal interaction." Social Psychology and Society 11, no. 1 (2020): 193–210. http://dx.doi.org/10.17759/sps.2020110112.

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Objectives. Investigate the individual’s ability to forgive concerning the characteristics of a friendly home environment. Background. The article continues the series of works devoted to the role of the home environment in the interpersonal interaction. Everyday communication involves the distribution of different resources; this process requires personal qualities that ensure a tolerant attitude to violations of justice. Study design. At the first stage of the study, psychometric examination of the Russian-language Heartland Forgiveness Scale was carried out; at the second stage, a correlati
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15

Kuang, Zhe Jun, Liang Hu, and Fei Yan Chen. "Analysis Markov Delay Control Strategy for Smart Home Systems." Applied Mechanics and Materials 484-485 (January 2014): 413–17. http://dx.doi.org/10.4028/www.scientific.net/amm.484-485.413.

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with the development of science and technology, smart home systems require better, faster to meet the needs of human. In order to achieve this goal, the human-machine-items all need to interact each other with understand,efficient and speedy. Cps could unify combination with the human-machine-items; realize the interaction between the physical information and the cyber world. However,information interaction and the control task needs to be completed in a valid time. Therefore, the transform delay control strategy becomes more and more important. This paper analysis Markov delay control strateg
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16

Wang, Xiaoya, and Yun Wang. "Family Emotional Decorative Paintings: Interaction Design for Communication." Lecture Notes in Education Psychology and Public Media 50, no. 1 (2024): 94–97. http://dx.doi.org/10.54254/2753-7048/50/20240895.

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This paper describes an approach applied to decorative home paintings: an emotional interaction approach. The study utilizes the theory of constructed emotion and the Wizard of Oz research methodology to extend the user's emotional experience in home scenarios with emotional self-reflection and regulation. Family Emotion Decorative Painting uses the family-shared photo library as the image base data, obtains the emotion type through facial expression and voice emotion recognition, and correlates the moment's emotion with the emotion reacted in the picture. Through qualitative research, we foun
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Vlachostergiou, Aggeliki, Georgios Stratogiannis, George Caridakis, George Siolas, and Phivos Mylonas. "User Adaptive and Context-Aware Smart Home Using Pervasive and Semantic Technologies." Journal of Electrical and Computer Engineering 2016 (2016): 1–20. http://dx.doi.org/10.1155/2016/4789803.

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Ubiquitous Computing is moving the interaction away from the human-computer paradigm and towards the creation of smart environments that users and things, from the IoT perspective, interact with. User modeling and adaptation is consistently present having the human user as a constant but pervasive interaction introduces the need for context incorporation towards context-aware smart environments. The current article discusses both aspects of the user modeling and adaptation as well as context awareness and incorporation into the smart home domain. Users are modeled as fuzzy personas and these m
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18

Wisspeintner, Thomas, Tijn van der Zant, Luca Iocchi, and Stefan Schiffer. "RoboCup@Home." Interaction Studies 10, no. 3 (2009): 392–426. http://dx.doi.org/10.1075/is.10.3.06wis.

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Being part of the RoboCup initiative, the RoboCup@Home league targets the development and deployment of autonomous service and assistive robot technology being essential for future personal domestic applications. The domain of domestic service and assistive robotics implicates a wide range of possible problems. The primary reasons for this include the large amount of uncertainty in the dynamic and non-standardized environments of the real world, and the related human interaction. Furthermore, the application orientation requires a large effort towards high level integration combined with a dem
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19

Wang, Yi, and Somdech Rungsrisawat. "The emotional interaction from the perspective of human-machine communication: The case study of intelligent home products." Edelweiss Applied Science and Technology 9, no. 5 (2025): 2782–800. https://doi.org/10.55214/25768484.v9i5.7591.

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This study uses a mixed-methods approach that combines factor analysis with expert interviews to explore the key factors shaping human-machine interaction in intelligent home environments, particularly within the emerging metaverse context. Fifteen significant factors were identified and classified into two categories: design-optimizable factors such as emotional engagement, adaptability, and usability, and user-centric factors like personality traits, behavioral habits, and regulatory constraints. Emotional and feeling-oriented elements, including trust, fun, and surprise, emerged slightly mo
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20

Atwood, Todd C., and Harmon P. Weeks, Jr. "Spatial home-range overlap and temporal interaction in eastern coyotes: the influence of pair types and fragmentation." Canadian Journal of Zoology 81, no. 9 (2003): 1589–97. http://dx.doi.org/10.1139/z03-144.

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No data exist regarding the linkage between the dispersion of critical resources and the spatial distribution of eastern coyotes (Canis latrans). From February 2000 to January 2002, we investigated landscape-level correlates of fragmentation with coyote spacing patterns and interaction in west-central Indiana to determine whether habitat fragmentation may influence spatiotemporal home-range overlap. Eleven pairs of coyotes (four male–female, four male–male, three female–female) displayed spatial overlap in portions of their home-range utilization distributions; seven pairs interacted temporall
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21

Cho, Sungjae, Yoonsu Kim, Jaewoong Jang, and Inseok Hwang. "AI-to-Human Actuation." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 7, no. 1 (2022): 1–32. http://dx.doi.org/10.1145/3580812.

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Imagine a near-future smart home. Home-embedded visual AI sensors continuously monitor the resident, inferring her activities and internal states that enable higher-level services. Here, as home-embedded sensors passively monitor a free person, good inferences happen randomly. The inferences' confidence highly depends on how congruent her momentary conditions are to the conditions favored by the AI models, e.g., front-facing or unobstructed. We envision new strategies of AI-to-Human Actuation (AHA) that empower the sensory AIs with proactive actuation so that they induce the person's condition
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22

Xu, Huayuan, Hyemin Lee, Weijie Ling, and Younghwan Pan. "How to Keep Balance between Interaction and Automation? Toward User Overall Positive Experience of IoT-Based Smart Home Design." Electronics 13, no. 7 (2024): 1375. http://dx.doi.org/10.3390/electronics13071375.

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Advances in Internet of Things (IoT) technologies have had a profound impact on the experiential tasks of the smart home, particularly automated tasks supported by sensors, embedded systems, and communication devices that are capable of autonomously performing a range of tasks previously performed by humans. However, the improvement in the level of smart home automation has not necessarily promoted more meaningful, relaxing, and positive experiences for users. This is largely due to the fact that it often overlooks the meaningful involvement of humans in the process. This paper proposes a conc
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23

Jain, Riya, Muskan Jain, Roopal Jain, and Suman Madan. "Human Computer Interaction – Hand Gesture Recognition." Advanced Journal of Graduate Research 11, no. 1 (2021): 1–9. http://dx.doi.org/10.21467/ajgr.11.1.1-9.

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The creation of intelligent and natural interfaces between users and computer systems has received a lot of attention. Several modes of knowledge like visual, audio, and pen can be used individually or in combination have been proposed in support of this endeavour. Human communication relies heavily on the use of gestures to communicate information. Gesture recognition is a subject of science and language innovation that focuses on numerically quantifying human gestures. It is possible for people to communicate properly with machines using gesture recognition without the use of any mechanical
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24

Mellin, Lilace A. "Helping Adolescents Make It Home." English Journal 86, no. 7 (1997): 80–85. http://dx.doi.org/10.58680/ej19973461.

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Argues that literature of nature teaches teenagers about life and home. Describes how personal narratives, essays, and fiction that look at human interaction prepare students for life. Focuses on three main elements important in establishing strong connections: landscape, community, and work.
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V, Abhiyashvi, Joshini Priya .S, Saravanan Elumalai, and Ananthan .T.V. "Gesture-Controlled Contactless Switch for Smart Home." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 03 (2025): 1–9. https://doi.org/10.55041/ijsrem43444.

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The innovation of smart home automation has developed contactless control systems that maximize convenience, accessibility, and sanitation. This article introduces a contactless switch with gesture control meant to control household appliances with gestures from the hands. The system applies infrared, ultrasonic, or camera-based sensors to read and analyze the gestures of users in real time without requiring direct contact. Machine learning algorithms are utilized to enhance the accuracy of gesture recognition, and wireless communication protocols like Wi-Fi and Bluetooth allow for smooth inte
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Du, Lim, and Tan. "A Novel Human Activity Recognition and Prediction in Smart Home Based on Interaction." Sensors 19, no. 20 (2019): 4474. http://dx.doi.org/10.3390/s19204474.

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Smart Homes are generally considered the final solution for living problem, especially for the health care of the elderly and disabled, power saving, etc. Human activity recognition in smart homes is the key to achieving home automation, which enables the smart services to automatically run according to the human mind. Recent research has made a lot of progress in this field; however, most of them can only recognize default activities, which is probably not needed by smart homes services. In addition, low scalability makes such research infeasible to be used outside the laboratory. In this stu
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Shin, Dongmin, Gwanghyung Lee, Dongil Shin, and Dongkyoo Shin. "System architecture using human interaction markup language for context awareness in home network." Multimedia Tools and Applications 75, no. 23 (2015): 15199–209. http://dx.doi.org/10.1007/s11042-014-2286-6.

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28

Lax, Simon, Daniel P. Smith, Jarrad Hampton-Marcell, et al. "Longitudinal analysis of microbial interaction between humans and the indoor environment." Science 345, no. 6200 (2014): 1048–52. https://doi.org/10.5281/zenodo.13525071.

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(Uploaded by Plazi for the Bat Literature Project) The bacteria that colonize humans and our built environments have the potential to influence our health. Microbial communities associated with seven families and their homes over 6 weeks were assessed, including three families that moved their home. Microbial communities differed substantially among homes, and the home microbiome was largely sourced from humans. The microbiota in each home were identifiable by family. Network analysis identified humans as the primary bacterial vector, and a Bayesian method significantly matched individuals to
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Lax, Simon, Daniel P. Smith, Jarrad Hampton-Marcell, et al. "Longitudinal analysis of microbial interaction between humans and the indoor environment." Science 345, no. 6200 (2014): 1048–52. https://doi.org/10.5281/zenodo.13525071.

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(Uploaded by Plazi for the Bat Literature Project) The bacteria that colonize humans and our built environments have the potential to influence our health. Microbial communities associated with seven families and their homes over 6 weeks were assessed, including three families that moved their home. Microbial communities differed substantially among homes, and the home microbiome was largely sourced from humans. The microbiota in each home were identifiable by family. Network analysis identified humans as the primary bacterial vector, and a Bayesian method significantly matched individuals to
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30

Lax, Simon, Daniel P. Smith, Jarrad Hampton-Marcell, et al. "Longitudinal analysis of microbial interaction between humans and the indoor environment." Science 345, no. 6200 (2014): 1048–52. https://doi.org/10.5281/zenodo.13525071.

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(Uploaded by Plazi for the Bat Literature Project) The bacteria that colonize humans and our built environments have the potential to influence our health. Microbial communities associated with seven families and their homes over 6 weeks were assessed, including three families that moved their home. Microbial communities differed substantially among homes, and the home microbiome was largely sourced from humans. The microbiota in each home were identifiable by family. Network analysis identified humans as the primary bacterial vector, and a Bayesian method significantly matched individuals to
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31

Lax, Simon, Daniel P. Smith, Jarrad Hampton-Marcell, et al. "Longitudinal analysis of microbial interaction between humans and the indoor environment." Science 345, no. 6200 (2014): 1048–52. https://doi.org/10.5281/zenodo.13525071.

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(Uploaded by Plazi for the Bat Literature Project) The bacteria that colonize humans and our built environments have the potential to influence our health. Microbial communities associated with seven families and their homes over 6 weeks were assessed, including three families that moved their home. Microbial communities differed substantially among homes, and the home microbiome was largely sourced from humans. The microbiota in each home were identifiable by family. Network analysis identified humans as the primary bacterial vector, and a Bayesian method significantly matched individuals to
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32

Hirskyj-Douglas, Ilyena, Roosa Piitulainen, and Andrés Lucero. "Forming the Dog Internet." Proceedings of the ACM on Human-Computer Interaction 5, ISS (2021): 1–20. http://dx.doi.org/10.1145/3488539.

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Over the past decade, many systems have been developed for humans to remotely connect to their pets at home. Yet little attention has been paid to how animals can control such systems and what the implications are of animals using internet systems. This paper explores the creation of a video call device to allow a dog to remotely call their human, giving the animal control and agency over technology in their home. After building and prototyping a novel interaction method over several weeks and iterations, we test our system with a dog and a human. Analysing our experience and data, we reflect
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Pavlov, Kathren, Fernando Montalvo, Jordan A. Sasser, et al. "Human Factors and User Experience in At-Home Dialysis Treatment Technology and Patient Procedures." Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care 12, no. 1 (2023): 223–28. http://dx.doi.org/10.1177/2327857923121050.

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At-home dialysis treatments are becoming increasingly common as suitable options for renal disease treatment. However, the nature of self-administered, at-home dialysis presents specific medical risks and unsupervised patient experiences that require unique attention by health professionals. This study utilized Arhippainen’s ten user experience heuristics to evaluate and identify strengths and weaknesses of at-home dialysis treatments while suggesting methods to improve the at-home patient experience. Results of our heuristic assessment showed that some at-home dialysis providers consider pati
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Li, Jin, Qiang Sha, Li Liu, and Qing Fang Zhuang. "Discussion on the Application of Emotional Interaction to Furniture Design." Advanced Materials Research 230-232 (May 2011): 664–68. http://dx.doi.org/10.4028/www.scientific.net/amr.230-232.664.

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Emotional interaction is a key aspect of furniture design. It focuses on changing the way of interaction between human and furniture, from one-way information transmission to two-way information transmission. So users can get more fun and pleasure in home life. The concept of emotional interaction is analyzed, and then its application to furniture design and the development trends are explained.
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Capy, Siméon, Pablo Osorio, Shohei Hagane, et al. "Yōkobo: A Robot to Strengthen Links Amongst Users with Non-Verbal Behaviours." Machines 10, no. 8 (2022): 708. http://dx.doi.org/10.3390/machines10080708.

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Yōkobo is a robject; it was designed using the principle of slow technology and it aims to strengthen the bond between members (e.g., a couple). It greets people at the entrance and mirrors their interactions and the environment around them. It was constructed by applying the notions of a human–robot–human interaction. Created by joint work between designers and engineers, the form factor (semi-abstract) and the behaviours (nonverbal) were iteratively formed from the early stage of the design process. Integrated into the smart home, Yōkobo uses expressive motion as a communication medium. Yōko
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Dentz, René Armand. "O corpo e o lar: interseções entre fenomenologia, psicanálise e arte na construção da experiência contemporânea." Revista Ágora Filosófica 25, no. 1 (2025): 97–106. https://doi.org/10.25247/p1982-999x.2025.v25n1.p97-106.

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This article explores the intersection between phenomenology, psychoanalysis, and contemporary art, focusing on the concepts of "home" and "body as home" as essential to understanding human experience. Through the works of Heidegger and Bachelard, the home is discussed as an existential condition that transcends mere physical occupation. Winnicott's concept of potential space highlights its importance in the development of personal identity and the ability to be alone. Marina Abramovic's art, particularly in her performance "The Artist is Present", is examined as a case study to explore how th
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Yang, Ye Fen, Jun Zhang, and Dong Hai Zeng. "The Design and Realization of Remote Voice Control System Based on the Intelligent Home." Applied Mechanics and Materials 530-531 (February 2014): 1112–18. http://dx.doi.org/10.4028/www.scientific.net/amm.530-531.1112.

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A design program of remote voice control system is presented based on the intelligent home on Android mobile phone platform. Via the voice recognition of Android mobile phone, the intelligent home can have a remote voice control function by this program, which greatly improves the security requirements of the intelligent home. This system is tested and proved its real-time, effectiveness and stability. Meanwhile, it can also provide a practical reference solution for human-computer interaction, having a wide range of application.
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Parial, Prithwish. "Home Automation System Using Based on IoT." International Journal for Research in Applied Science and Engineering Technology 10, no. 7 (2022): 80–94. http://dx.doi.org/10.22214/ijraset.2022.45184.

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Abstract: This paper has shown an automation proposal that represents how IoT-based systems are making human life easier with the help of Google Assistant. It helps to control the automation of lighting, air conditioning, and CCTV security, as well as home appliances. Automation systems also control the excessive usage of electricity. Google Assistant is one of the greatest home companions that controls every IoT-based home appliance with the good interaction of Wi-Fi modules. It also provides good coverage of Wi-Fi-connected devices. Wi-Fi is frequently used for the facility of remote monitor
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Hou, Zhenyang, Yanqin Huang, and Xinye Tang. "Driver body condition monitoring system based on human-computer interaction." Applied and Computational Engineering 40, no. 1 (2024): 63–76. http://dx.doi.org/10.54254/2755-2721/40/20230628.

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Tired driving is still a significant cause of traffic accidents, often causing huge economic losses to society.Therefore, how to avoid driver fatigue has become a meaningful problem. The purpose of this paper is to review and summarize various research methods of driver fatigue monitoring system at home and abroad, so as to reduce the probability of traffic accidents caused by fatigue driving. The main content of this paper is to review the existing fatigue driving monitoring technologies such as electrocardiogram (ECG), electroencephalogram (EEG), HRV, eye tracking system, CNN, facial state a
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Jansi Rani G, Dr Mary. "Smart Home Automation Using Hand Gestures." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem47849.

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Abstract— A natural way to accomplish Human-Computer Interaction (HCI) is through the visual interpretation of hand gestures. In this paper, we describe a method for configuring a smart home in which a hand gesture recognition system can be used to control the appliances. More precisely, this recognition system effectively differentiates between pre-trained gestures and correctly identifies them to operate the appliances by using transfer learning, a machine learning technique. In order to activate the appliances, the gestures are sequentially recognized as commands. An Arduino Uno microcontro
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Zhang, Ruoyao. "Enhancing Human-Computer Interaction through Brain-Computer Interface: Technological Advances." Applied and Computational Engineering 145, no. 1 (2025): 170–75. https://doi.org/10.54254/2755-2721/2025.22240.

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Brain-Computer Interface (BCI) has gained significant attention due to its potential to transform human-computer interaction (HCI), especially through non-invasive methods like electroencephalography (EEG). This essay explores the fundamental principles of non-invasive BCIs, focusing on EEG-based signal acquisition, preprocessing, and decoding techniques. It examines the role of various machine learning and deep learning algorithms in enhancing the accuracy and efficiency of neural signal interpretation, including supervised learning, unsupervised learning, CNN, RNN, and transformers. These ke
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42

Jokisch, Oliver, and Markus Huber. "Advances in the development of a cognitive user interface." MATEC Web of Conferences 161 (2018): 01003. http://dx.doi.org/10.1051/matecconf/201816101003.

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In this contribution, we want to summarize recent development steps of the embedded cognitive user interface UCUI, which enables a user-adaptive scenario in human-machine or even human-robot interactions by considering sophisticated cognitive and semantic modelling. The interface prototype is developed by different German institutes and companies with their steering teams at Fraunhofer IKTS and Brandenburg University of Technology. The interface prototype is able to communicate with users via speech and gesture recognition, speech synthesis and a touch display. The device includes an autarkic
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Han, Jinze. "Human-Computer Interaction on Facial Recognition and Emotional Feedback." Applied and Computational Engineering 111, no. 1 (2024): 26–34. http://dx.doi.org/10.54254/2755-2721/111/2024ch0114.

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The advancement of science and technology has resulted in the growing prevalence of facial recognition technology in human-computer interaction, particularly in the domain of emotion recognition, where it shows significant potential. By identifying the user's facial expressions and emotional responses, the system is capable of conducting further analysis and prediction of the user's needs, thereby optimizing the emotion recognition experience of human-computer interaction. This article will elucidate the principles of facial recognition technology, with a particular focus on its practical appl
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Kuang, Zhe Jun, Liang Hu, and Chen Zhang. "A Smart Home Architectural Design of Cyber Physical Systems." Applied Mechanics and Materials 484-485 (January 2014): 785–89. http://dx.doi.org/10.4028/www.scientific.net/amm.484-485.785.

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the development of the smart home has broken many the traditional ways, which are a new, comfortable, convenient way for people to live and work in a better environment. Smart home services should be completed within the effective time-related tasks, and real-time control strategy plays an important role. CPS is a complicated distributed control system,interaction between cyber world and physical world by computation, communication and control. CPS provides methods of the compositionality, distributed Sensing, physical interfaces and human interfaces integration that could help smart home syst
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Hortensius, Ruud, Bishakha Chaudhury, Martin Hoffmann, and Emily Cross. "Tracking human interactions with a commercially-available robot over multiple days." Open Research Europe 2 (August 16, 2022): 97. http://dx.doi.org/10.12688/openreseurope.14824.1.

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Background: As research examining human-robot interaction moves from the laboratory to the real world, studies seeking to examine how people interact with robots face the question of which robotic platform to employ to collect data in situ. To facilitate the study of a broad range of individuals, from children to clinical populations, across diverse environments, from homes to schools, a robust, reproducible, low-cost and easy-to-use robotic platform is needed. Methods: We describe how a commercially available off-the-shelf robot, Cozmo, can be used to study embodied human-robot interactions i
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Hill, Jessica, Carlie Driscoll, Judy Cawdell-Smith, Stephen Anderson, and Jenny Ziviani. "Investigating Dog Welfare When Interacting with Autistic Children within Canine-Assisted Occupational Therapy Sessions: A Single Case Study." Animals 13, no. 12 (2023): 1965. http://dx.doi.org/10.3390/ani13121965.

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Human-animal bond is defined as the mutually beneficial relationship between humans and animals. Recent years have seen increasing research regarding the benefits of interaction with animals for autistic children. However, there continue to be limited studies exploring the impact of this interaction on the welfare of therapy dogs. As part of a pilot randomised control trial assessing the efficacy of canine-assisted occupational therapy with autistic children, this project assessed welfare markers of the therapy dog involved. A total of twenty-one saliva samples were taken from the therapy dog
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Pooley, Andrew C., Andrew May, and Val Mitchell. "Furthering the Development of Virtual Agents and Communication Robot Devices through the Consideration of the Temporal Home." Multimodal Technologies and Interaction 7, no. 11 (2023): 104. http://dx.doi.org/10.3390/mti7110104.

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This paper extends current research on Human–Robot Interaction (HRI) within Human–Computer Interaction (HCI), focusing on how future virtual agents and communication robots can support the temporal structures and routines within the home. We recruited representatives from 15 households with varied compositions, ranging from single inhabitants to full nest families. Drawing upon P.G. Wodehouse’s The Inimitable Jeeves as an inspiration, the methodology sought to imitate the relationship between a recruitment agency worker (researcher) and an employer (participant) seeking to hire a personal assi
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Lu, Yi, Lejia Zhou, Aili Zhang, Mengyao Wang, Shan Zhang, and Minghua Wang. "Research on Designing Context-Aware Interactive Experiences for Sustainable Aging-Friendly Smart Homes." Electronics 13, no. 17 (2024): 3507. http://dx.doi.org/10.3390/electronics13173507.

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With the advancement of artificial intelligence, the home care environment for elderly users is becoming increasingly intelligent and systematic. The context aware human–computer interaction technology of sustainable aging-friendly smart homes can effectively identify user needs, enhance energy efficiency, and optimize resource utilization, thereby improving the convenience and sustainability of smart home care services. This paper reviews literature and analyzes cases to summarize the background and current state of context-aware interaction experience research in aging-friendly smart homes.
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Fujita, Yoshiro. "Personal Robot PaPeRo." Journal of Robotics and Mechatronics 14, no. 1 (2002): 60–63. http://dx.doi.org/10.20965/jrm.2002.p0060.

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This paper discusses the Personal Robot PaPeRo concept, architecture, and experiments. PaPeRo is a autonomous robot prototype for use at home with human interaction. PaPeRo uses speech and face recognition technology and expressions using synchronized motion, speech, and LEDs.
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Dheer, Pulkit. "Voice-Based Al Chatbots: Enhancing Human-Computer Interaction." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 03 (2025): 1–9. https://doi.org/10.55041/ijsrem42448.

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Voice-based chatbots have transformed human- computer interaction by enabling perfect, intuitive, and hands-free communication. Virtual attendees like Amazon Alexa, Google Assistant, Apple Siri, and Microsoft Cortana use artificial intelligence (AI) and natural language processing (NLP) to understand spoken commands and provide contextual responses. These systems are widely used in several fields, including customer service, medical care, and intelligent home automation. This investigation investigates the evolution of the chatbots of the voice promoted by the voice, emphasizing the advances i
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