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Статті в журналах з теми "Human-building interactions"
Ozcelik, Gokce, Burcin Becerik-Gerber, and Ragini Chugh. "Understanding human-building interactions under multimodal discomfort." Building and Environment 151 (March 2019): 280–90. http://dx.doi.org/10.1016/j.buildenv.2018.12.046.
Повний текст джерелаvon Grabe, Jörn. "Decision models and data in human-building interactions." Energy Research & Social Science 19 (September 2016): 61–65. http://dx.doi.org/10.1016/j.erss.2016.05.022.
Повний текст джерелаHong, Tianzhen, Chien-fei Chen, Zhe Wang, and Xiaojing Xu. "Linking human-building interactions in shared offices with personality traits." Building and Environment 170 (March 2020): 106602. http://dx.doi.org/10.1016/j.buildenv.2019.106602.
Повний текст джерелаvon Grabe, Jörn. "How do occupants decide their interactions with the building? From qualitative data to a psychological framework of human-building-interaction." Energy Research & Social Science 14 (April 2016): 46–60. http://dx.doi.org/10.1016/j.erss.2016.01.002.
Повний текст джерелаChoi, Minji, Moonseo Park, Hyun-Soo Lee, and Sungjoo Hwang. "Analysis of Building Emergency Evacuation Process with Interactions in Human Behaviors." Korean Journal of Construction Engineering and Management 14, no. 6 (November 30, 2013): 49–60. http://dx.doi.org/10.6106/kjcem.2013.14.6.049.
Повний текст джерелаMahmood, Ali, and Sepehr Abrishami. "BIM for lean building surveying services." Construction Innovation 20, no. 3 (May 14, 2020): 447–70. http://dx.doi.org/10.1108/ci-11-2019-0131.
Повний текст джерелаWiltse, Heather, Erik Stolterman, and Johan Redström. "Wicked Interactions." Techné: Research in Philosophy and Technology 19, no. 1 (2015): 26–49. http://dx.doi.org/10.5840/techne201531926.
Повний текст джерелаRutenberg, Andrew, Spencer Farrell, Arnold Mitnitski, Kenneth Rockwood, and Garrett Stubbings. "Building, testing, and learning from network models of human aging." Innovation in Aging 4, Supplement_1 (December 1, 2020): 487. http://dx.doi.org/10.1093/geroni/igaa057.1576.
Повний текст джерелаConnelly, Edward. "Building Performance Measures: A Human Factors Problem." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 39, no. 18 (October 1995): 1165–69. http://dx.doi.org/10.1177/154193129503901804.
Повний текст джерелаWang, Heting, Vidya Gaddy, James Ross Beveridge, and Francisco R. Ortega. "Building an Emotionally Responsive Avatar with Dynamic Facial Expressions in Human—Computer Interactions." Multimodal Technologies and Interaction 5, no. 3 (March 20, 2021): 13. http://dx.doi.org/10.3390/mti5030013.
Повний текст джерелаДисертації з теми "Human-building interactions"
Ma, Nuo. "Indoor Human Sensing for Human Building Interaction." Thesis, Virginia Tech, 2020. http://hdl.handle.net/10919/98916.
Повний текст джерелаMaster of Science
The recent advances in mobile technologies, like smart phones and enhanced wireless communication, allow people to experience added comfort and convenience brought by these devices. For example, smart lighting and air conditioning control can be set remotely, before people arrive at their homes. However, these personal experiences are usually limited to personal spaces and tied to a specific personal smart phone. When it comes to public spaces, we seldom see such technological advancement being utilized. In reality, the concept of smart public spaces is still limited to technologies like opening / closing a door automatically. We discuss the reasons that cause such difference between personal and public spaces. We argue that Human Building Interactions should be shaped around non-intrusive indoor human sensing technologies. We present discussions, considerations and implementation of a system that uses a low cost camera network for indoor human sensing. We also describe several applications based on the developed system. We demonstrate how to bring technology enhanced experiences to public built spaces and provide smart built environments.
Ballivian, Sergio Marlon. "Anonymous Indoor Positioning System using Depth Sensors for Context-aware Human-Building Interaction." Thesis, Virginia Tech, 2019. http://hdl.handle.net/10919/89612.
Повний текст джерелаMaster of Science
Although Global Positioning System (GPS) has a satisfactory performance navigating outdoors, it fails in indoor environments due to the line of sight requirements. Physical obstacles such as walls, overhead floors, and roofs weaken GPS functionality in closed environments. This limitation has opened a new direction of studies, technologies, and research efforts to create indoor location sensing capabilities. In this study, we have explored the feasibility of using an indoor positioning system that seeks to detect occupants’ location and preferences accurately without raising privacy concerns. Context-aware systems were created to learn dynamics of interactions between human and buildings, examples are sensing, localizing, and distinguishing individuals. An example application is to enable a responsive air-conditioning system to adapt to personalized thermal preferences of occupants in an indoor environment as they move across spaces. To this end, we have proposed to leverage depth sensing technology, such as Microsoft Kinect sensor, that could provide information on human activities and unique skeletal attributes for identification. The proposed sensing technology could enable the inference of people location and preferences at any time and their activity levels across different indoor spaces. This system could be used for sustainable operations in buildings by detecting unoccupied rooms in buildings to save energy and reduce the cost of heating, lighting or air conditioning equipment by delivering air conditioning according to the preferences of occupants. This thesis has explored the feasibility and challenges of using depth-sensing technology for the aforementioned objectives. In doing so, we have conducted experimental studies, as well as data analyses, using different scenarios for human-environment interactions. The results have shown that we could achieve an acceptable level of accuracy in detecting individuals across different spaces for different actions.
Agee, Philip Ryan. "A Macroergonomics Path to Human-centered, Adaptive Buildings." Diss., Virginia Tech, 2003. http://hdl.handle.net/10919/102751.
Повний текст джерелаDoctor of Philosophy
Agee, Philip. "A Macroergonomics Path to Human-centered, Adaptive Buildings." Diss., Virginia Tech, 2019. http://hdl.handle.net/10919/102751.
Повний текст джерелаDoctor of Philosophy
Afzalan, Milad. "Data-driven customer energy behavior characterization for distributed energy management." Diss., Virginia Tech, 2020. http://hdl.handle.net/10919/99210.
Повний текст джерелаDoctor of Philosophy
Buildings account for more than 70% of electricity consumption in the U.S., in which more than 40% is associated with the residential sector. During recent years, with the advancement in Information and Communication Technologies (ICT) and the proliferation of data from consumers and devices, data-driven methods have received increasing attention for improving the energy-efficiency initiatives. With the increased adoption of renewable and distributed resources in buildings (e.g., solar panels and storage systems), an important aspect to improve the efficiency by matching the demand and supply is to add flexibility to the energy consumption patterns (e.g., trying to match the times of high energy demand from buildings and renewable generation). In this dissertation, we introduced data-driven solutions using the historical energy data of consumers with application to the flexibility provision. Specific problems include: (1) introducing a ranking score for buildings in a community to detect the candidates that can provide higher energy saving in the future events, (2) estimating the operation time of major energy-intensive appliances by analyzing the whole-house energy data using machine learning models, and (3) investigating the potential of achieving demand-supply balance in communities of buildings under the impact of different levels of solar panels, battery systems, and occupants energy consumption behavior. In the first study, a ranking score was introduced that analyzes the historical energy data from major loads such as washing machines and dishwashers in individual buildings and group the buildings based on their potential for energy saving at different times of the day. The proposed approach was investigated for real data of 400 buildings. The results for EV, washing machine, dishwasher, dryer, and AC show that the approach could successfully rank buildings by their demand reduction potential at critical times of the day. In the second study, machine learning (ML) frameworks were introduced to identify the times of the day that major energy-intensive appliances are operated. To do so, the input of the model was considered as the main circuit electricity information of the whole building either in lower-resolution data (smart meter data) or higher-resolution data (60Hz). Unlike previous studies that required considerable efforts for training the model (e.g, defining specific parameters for mathematical formulation of the appliance model), the aim was to develop data-driven approaches to learn the model either from the same building itself or from the neighbors that have appliance-level metering devices. For the lower-resolution data, the objective was that, if a few samples of buildings have already access to plug meters (i.e., appliance level data), one could estimate the operation time of major appliances through ML models by matching the energy behavior of the buildings, reflected in their smart meter information, with the ones in the neighborhood that have similar behaviors. For the higher-resolution data, an algorithm was introduced that extract the appliance signature (i.e., change in the pattern of electricity signal when an appliance is operated) to create a processed library and match the new events (i.e., times that an appliance is operated) by investigating the similarity with the ones in the processed library. The investigation on major appliances like AC, EV, dryer, and washing machine shows the >80% accuracy on standard performance metrics. In the third study, the impact of adding small-scale distributed resources to individual buildings (solar panels, battery, and users' practice in changing their energy consumption behavior) for matching the demand-supply for the communities was investigated. A community of ~250 buildings was considered to account for realistic uncertain energy behavior across households. It was shown that even when all buildings have a solar panel, during the afternoon times (after 4 pm) in which still ~30% of solar generation is possible, the community could not supply their demand. Furthermore, it was observed that including users' practice in changing their energy consumption behavior and battery could improve the utilization of solar energy around >10%-15%. The results can serve as a guideline for utilities and decision-makers to understand the impact of such different scenarios on improving the utilization of solar adoption. These series of studies in this dissertation contribute to the body of literature by introducing data-driven solutions/investigations for characterizing the energy behavior of households, which could increase the flexibility in energy consumption patterns.
Cao, Hetian. "Designing for Interaction and Insight: Experimental Techniques For Visualizing Building Energy Consumption Data." Research Showcase @ CMU, 2017. http://repository.cmu.edu/theses/130.
Повний текст джерелаKemshal-Bell, Guy Jonathon, and guykb@bigpond net au. "Interactive media - a tool to enhance human communication." RMIT University. Creative Media, 2007. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20080102.100544.
Повний текст джерелаSateei, Shahin. "VR som verktyg vid kravställning för sjukhusbyggnation." Thesis, Uppsala universitet, Avdelningen för visuell information och interaktion, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-422759.
Повний текст джерелаBirgonul, Zeynep. "Symbiotic data platform. A receptive-responsive tool for customizing thermal comfort & optimizing energy efficiency." Doctoral thesis, Universitat Internacional de Catalunya, 2020. http://hdl.handle.net/10803/669180.
Повний текст джерелаKoort, Hannes. "Room for More of Us? : Important Design Features for Informed Decision-Making in BIM-enabled Facility Management." Thesis, Uppsala universitet, Människa-datorinteraktion, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-447217.
Повний текст джерелаКниги з теми "Human-building interactions"
Building interactive systems: Principles for human-computer interaction. Boston, MA: Course Technology, 2010.
Знайти повний текст джерелаRiegelsberger, Jens, M. Angela Sasse, and John D. McCarthy. Trust in Mediated Interactions. Edited by Adam N. Joinson, Katelyn Y. A. McKenna, Tom Postmes, and Ulf-Dietrich Reips. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780199561803.013.0005.
Повний текст джерелаStewart, Frances, Gustav Ranis, and Emma Samman. The Evolution of Development Thought. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198794455.003.0001.
Повний текст джерелаDivan, Aysha, and Janice Royds. Molecular Biology. Oxford University Press, 2016. http://dx.doi.org/10.1093/actrade/9780198723882.001.0001.
Повний текст джерелаAndrén, Mats. Children’s Expressive Handling of Objects in a Shared World. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780190210465.003.0005.
Повний текст джерелаAmos, Martyn, ed. Cellular Computing. Oxford University Press, 2004. http://dx.doi.org/10.1093/oso/9780195155396.001.0001.
Повний текст джерелаZbikowski, Lawrence M. Foundations of Musical Grammar. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190653637.001.0001.
Повний текст джерелаIsendahl, Christian, and Daryl Stump, eds. The Oxford Handbook of Historical Ecology and Applied Archaeology. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199672691.001.0001.
Повний текст джерелаSteffen (Lead Author), Will. Australia's Biodiversity and Climate Change. CSIRO Publishing, 2009. http://dx.doi.org/10.1071/9780643098190.
Повний текст джерелаStone Sweet, Alec, and Jud Mathews. Proportionality Balancing and Constitutional Governance. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198841395.001.0001.
Повний текст джерелаЧастини книг з теми "Human-building interactions"
Kalay, Yehuda E., Haripriya Sathyanarayanan, Davide Schaumann, Albert Wang, Gang Chen, and Ramdas G. Pai. "VLC-Enabled Human-Aware Building Management System." In Distributed, Ambient and Pervasive Interactions, 207–22. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-50344-4_16.
Повний текст джерелаIwase, Koya, Kota Gushima, and Tatsuo Nakajima. "Supporting Human Relationship-Building in a Daily Life Community." In Distributed, Ambient and Pervasive Interactions, 368–80. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-21935-2_28.
Повний текст джерелаJohansson, Martin, Gabriel Skantze, and Joakim Gustafson. "Head Pose Patterns in Multiparty Human-Robot Team-Building Interactions." In Social Robotics, 351–60. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-02675-6_35.
Повний текст джерелаHeydarian, Arsalan, Evangelos Pantazis, David Gerber, and Burcin Becerik-Gerber. "Use of Immersive Virtual Environments to Understand Human-Building Interactions and Improve Building Design." In Communications in Computer and Information Science, 180–84. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-21380-4_32.
Повний текст джерелаDamrongrat, Chaianun, and Mitsuru Ikeda. "Ontology Based Simulation Framework: Studying of Human Behavior Changes Impacted by Accessibility of Information under Building Fire Emergency." In Distributed, Ambient, and Pervasive Interactions, 253–61. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07788-8_24.
Повний текст джерелаBrenes, Edwin, Jorge Chavarría, Diego Murillo, Lucía Sanahuja, Sheng Wang, Adrián Lara, Gustavo López, Luis Quesada, and Jose Antonio Brenes. "User - Smart Building Interactions: An Analysis of Privacy and Productivity Human Factors." In Proceedings of the International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2022), 815–20. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-21333-5_80.
Повний текст джерелаSavic, Selena. "Measuring Scarcity or Balancing Abundance: Some Reflections on Human-Building Interaction Paradigms from an Architectural Perspective." In Distributed, Ambient and Pervasive Interactions: Understanding Humans, 264–74. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91125-0_23.
Повний текст джерелаClodic, Aurelie, and Rachid Alami. "What Is It to Implement a Human-Robot Joint Action?" In Robotics, AI, and Humanity, 229–38. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-54173-6_19.
Повний текст джерелаBecerik-Gerber, Burcin. "Human-Building Interaction (HBI)." In Encyclopedia of Systems and Control, 1–5. London: Springer London, 2020. http://dx.doi.org/10.1007/978-1-4471-5102-9_100091-1.
Повний текст джерелаBecerik-Gerber, Burcin. "Human-Building Interaction (HBI)." In Encyclopedia of Systems and Control, 913–17. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-44184-5_100091.
Повний текст джерелаТези доповідей конференцій з теми "Human-building interactions"
Preziuso, Danielle, Gregory Kaminski, and Philip Odonkor. "Understanding the Energy Behavior of Building Occupants Through the Chronology of Their Energy Interactions." In ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/detc2021-69953.
Повний текст джерелаZhu, Runhe, Burcin Becerik-Gerber, Gale Lucas, Erroll Southers, and David V. Pynadath. "Information Requirements for Virtual Environments to Study Human-Building Interactions during Active Shooter Incidents." In ASCE International Conference on Computing in Civil Engineering 2019. Reston, VA: American Society of Civil Engineers, 2019. http://dx.doi.org/10.1061/9780784482445.024.
Повний текст джерелаJabbar, Rateb, Esmat Zaidan, Ahmed ben Said, and Ali Ghofrani. "Transition to Sustainable Smart Energy: An analysis of human- building interactions in Qatar Using Machine Learning Techniques." In 57th ISOCARP World Planning Congress. ISOCARP, 2021. http://dx.doi.org/10.47472/dlpsdrmx.
Повний текст джерелаZinke-Wehlmann, Christian, Julia Friedrich, Vanita Römer, Kristin Gilbert, Ulrike Pietrzyk, and Anne Steputat Rätze. "Interaction as a concept for Social Service Engineering." In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1002582.
Повний текст джерелаAttaianese, Erminia. "Human Factors in Design of Sustainable Buildings." In Applied Human Factors and Ergonomics Conference. AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1001330.
Повний текст джерелаTaylor, Ellen, Anjali Joseph, Xiaobo Quan, and Upali Nanda. "Designing a Tool to Support Patient Safety: Using Research to Inform a Proactive Approach to Healthcare Facility Design." In Applied Human Factors and Ergonomics Conference. AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1001343.
Повний текст джерелаViros-i-Martin, Antoni, and Daniel Selva. "A Framework to Study Human-AI Collaborative Design Space Exploration." In ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/detc2021-67619.
Повний текст джерелаBlanchi, Yann, Corinne Touati, and Elizabeth Mortamais. "Adaptive architecture, an implementation with game theory. Emotional input and pneumatically driven actuator." In International Conference on the 4th Game Set and Match (GSM4Q-2019). Qatar University Press, 2019. http://dx.doi.org/10.29117/gsm4q.2019.0034.
Повний текст джерелаWray, Robert, James Kirk, and Jeremiah Folsom-Kovarik. "Improving Common Ground in Human-Machine Teaming: Dimensions, Gaps, and Priorities." In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1001463.
Повний текст джерелаAmer, Saed, Dana Alhashmi, Ravindra Goonetilleke, and Ahmad Mayyas. "Instrumenting the Human into Safety 4.0." In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1002148.
Повний текст джерелаЗвіти організацій з теми "Human-building interactions"
Akasha, Heba, Omid Ghaffarpasand, and Francis Pope. Climate Change and Air Pollution. Institute of Development Studies (IDS), January 2021. http://dx.doi.org/10.19088/k4d.2021.071.
Повний текст джерела