Energy Efficiency in Public Buildings through Context-Aware Social Computing
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Juan M. Corchado | Óscar García | Ricardo S. Alonso | Javier Prieto | J. Corchado | Javier Prieto | R. Alonso | Ó. García
[1] Nigel Shadbolt,et al. Knowledge acquisition and the rise of social machines , 2013, Int. J. Hum. Comput. Stud..
[2] Tarja Susi,et al. Serious Games : An Overview , 2007 .
[3] George Palaigeorgiou,et al. Designing educational software with students through collaborative design games: The We!Design&Play framework , 2011, Comput. Educ..
[4] Carlos Henggeler Antunes,et al. Towards more effective behavioural energy policy: An integrative modelling approach to residential energy consumption in Europe , 2015 .
[5] H. T. Mouftah,et al. Energy-Efficient Information and Communication Infrastructures in the Smart Grid: A Survey on Interactions and Open Issues , 2015, IEEE Communications Surveys & Tutorials.
[6] Perry McDowell,et al. Delta3D: A Complete Open Source Game and Simulation Engine for Building Military Training Systems , 2006 .
[7] Julia Armesto,et al. Indoor Multi-Sensor Acquisition System for Projects on Energy Renovation of Buildings , 2016, Sensors.
[8] Mike Joy,et al. Survey on Context-Aware Pervasive Learning Environments , 2009, Int. J. Interact. Mob. Technol..
[9] Ralf Steinmetz,et al. Context aware serious games framework for sport and health , 2011, 2011 IEEE International Symposium on Medical Measurements and Applications.
[10] Albert Ali Salah,et al. Understanding and Changing Behavior , 2013 .
[11] Yunqiang Zhang,et al. Machine training and parameter settings with social emotional optimization algorithm for support vector machine , 2015, Pattern Recognit. Lett..
[12] Greg Linden,et al. Amazon . com Recommendations Item-to-Item Collaborative Filtering , 2001 .
[13] Kwang-Ho Won,et al. Building Environment Analysis based on Temperature and Humidity for Smart Energy Systems , 2012, Sensors.
[14] Bruno Vellas,et al. Recommendations for the use of Serious Games in people with Alzheimer's Disease, related disorders and frailty , 2014, Front. Aging Neurosci..
[15] Anton Gustafsson,et al. Persuasive design of a mobile energy conservation game with direct feedback and social cues , 2009, DiGRA Conference.
[16] Iana Vassileva,et al. Increasing energy efficiency in low-income households through targeting awareness and behavioral change , 2014 .
[17] Abbas Elmualim,et al. Providing persuasive feedback through interactive posters to motivate energy-saving behaviours , 2015 .
[18] Gabriela Oliveira Biondi,et al. Context-aware energy efficiency management for smart buildings , 2015, 2015 IEEE 2nd World Forum on Internet of Things (WF-IoT).
[19] Jeffrey Earp,et al. Supporting Human Capital development with Serious Games: An analysis of three experiences , 2014, Comput. Hum. Behav..
[20] Brian Orland,et al. Saving energy in an office environment: A serious game intervention , 2014 .
[21] Antonio F. Skarmeta,et al. A Low-Cost Indoor Localization System for Energy Sustainability in Smart Buildings , 2016, IEEE Sensors Journal.
[22] M. Ott,et al. Can Serious Games Contribute to Developing and Sustaining 21st Century Skills? , 2015, Games Cult..
[23] Javier Bajo,et al. PANGEA - Platform for Automatic coNstruction of orGanizations of intElligent Agents , 2012, DCAI.
[24] Murat Demirbas,et al. Wireless Sensor Networks for Monitoring of Large Public Buildings , 2005 .
[25] M. Schijven,et al. Systematic review of serious games for medical education and surgical skills training , 2012, The British journal of surgery.
[26] Ian T. Foster,et al. The anatomy of the grid: enabling scalable virtual organizations , 2001, Proceedings First IEEE/ACM International Symposium on Cluster Computing and the Grid.
[27] Javier Bajo,et al. Monitoring and Detection Platform to Prevent Anomalous Situations in Home Care , 2014, Sensors.
[28] Martin Anda,et al. Smart metering for residential energy efficiency: The use of community based social marketing for behavioural change and smart grid introduction , 2014 .
[29] Javier Bajo,et al. ARTIZT: Applying Ambient Intelligence to a Museum Guide Scenario , 2011, ISAmI.
[30] P. Wesley Schultz,et al. Using in-home displays to provide smart meter feedback about household electricity consumption: A randomized control trial comparing kilowatts, cost, and social norms , 2015 .
[31] Andrew B. Whinston,et al. A Twitter-Based Prediction Market: Social Network Approach , 2011, ICIS.
[32] G. Soutar,et al. Energy saving behaviours: Development of a practice-based model , 2013 .
[33] Korina Katsaliaki,et al. Serious Games for Sustainable Development , 2013 .
[34] John Langford,et al. Telling humans and computers apart automatically , 2004, CACM.
[35] Liyan Song,et al. Digital Game-Based Learning , 2014 .
[36] O. T. Masoso,et al. The dark side of occupants’ behaviour on building energy use , 2010 .
[37] Florentino Fernández Riverola,et al. Unobstructive Body Area Networks (BAN) for Efficient Movement Monitoring , 2012, Sensors.
[38] Keith A. Jones,et al. The potential for energy reduction in UK commercial offices through effective management and behaviour change , 2014 .
[39] Herre van Oostendorp,et al. Current Practices in Serious Game Research: A Review from a Learning Outcomes Perspective , 2009 .
[40] Tham Kwok Wai,et al. A literature survey on measuring energy usage for miscellaneous electric loads in offices and commercial buildings , 2014 .
[41] Thomas Connolly,et al. Games-Based Learning Advancements for Multi-Sensory Human Computer Interfaces: Techniques and Effective Practices , 2009 .
[42] Diane J. Cook,et al. Activity-Aware Energy-Efficient Automation of Smart Buildings , 2016 .
[43] M.I.P. Salas,et al. Security Testing Methodology for Vulnerabilities Detection of XSS in Web Services and WS-Security , 2014, CLEI Selected Papers.
[44] Kinshuk,et al. Context-Aware Mobile Role Playing Game for Learning - A Case of Canada and Taiwan , 2014, J. Educ. Technol. Soc..
[45] Kristin Andersson,et al. Energy behaviors at the office: An intervention study on the use of equipment , 2015 .
[46] Ram Rajagopal,et al. Ranking appliance energy efficiency in households: Utilizing smart meter data and energy efficiency frontiers to estimate and identify the determinants of appliance energy efficiency in residential buildings , 2015 .
[47] Guido Boella,et al. Virtual Organizations as Normative Multiagent Systems , 2005, Proceedings of the 38th Annual Hawaii International Conference on System Sciences.
[48] Antonio F. Gómez-Skarmeta,et al. How can We Tackle Energy Efficiency in IoT Based Smart Buildings? , 2014, Sensors.
[49] James M. Boyle,et al. A systematic literature review of empirical evidence on computer games and serious games , 2012, Comput. Educ..
[50] Gary Bente,et al. Why so serious? On the relation of serious games and learning , 2010, Eludamos: Journal for Computer Game Culture.
[51] Alex Pentland,et al. Understanding and Changing Behavior [Guest editors' introduction] , 2013, IEEE Pervasive Comput..
[52] E. Shove. Converging Conventions of Comfort, Cleanliness and Convenience , 2003 .
[53] Juan M. Corchado,et al. CAFCLA: A Framework to Design, Develop, and Deploy AmI-Based Collaborative Learning Applications , 2015 .
[54] Maria Ganzha,et al. Agent-based Virtual Organization , 2011, WASA.
[55] Javier Bajo,et al. Biomedic Organizations: An intelligent dynamic architecture for KDD , 2013, Inf. Sci..
[56] Diane Jass Ketelhut,et al. Teachers and game-based learning: Improving understanding of how to increase efficacy of adoption , 2011, Comput. Educ..
[57] Simon Roberts,et al. Altering existing buildings in the UK , 2008 .
[58] Eve E. Hoggan,et al. Eco-Feedback on the Go: Motivating Energy Awareness , 2011, Computer.
[59] Xudong Zhao,et al. Case Study of Smart Meter and In-home Display for Residential Behavior Change in Shanghai, China , 2015 .
[60] Vicent J. Botti,et al. Agent-based virtual organization architecture , 2011, Eng. Appl. Artif. Intell..
[61] Noël Crespi,et al. Semantic Context-Aware Service Composition for Building Automation System , 2014, IEEE Transactions on Industrial Informatics.
[62] Juan M. Corchado,et al. Ambient intelligence and collaborative e-learning: a new definition model , 2011, Journal of Ambient Intelligence and Humanized Computing.
[63] Javier Bajo,et al. Ambient Agents: Embedded Agents for Remote Control and Monitoring Using the PANGEA Platform , 2014, Sensors.
[64] Rui Neves Madeira,et al. LEY!: persuasive pervasive gaming on domestic energy consumption-awareness , 2011, Advances in Computer Entertainment Technology.
[65] D. Keyson,et al. Exploring the use of a game to stimulate energy saving in households , 2012 .
[66] Vinayak S. Naik,et al. A line in the sand: a wireless sensor network for target detection, classification, and tracking , 2004, Comput. Networks.
[67] Lih-Juan ChanLin,et al. Location-Based Learning through Augmented Reality , 2014 .
[68] James A. Rodger,et al. A fuzzy nearest neighbor neural network statistical model for predicting demand for natural gas and energy cost savings in public buildings , 2014, Expert Syst. Appl..
[69] Anind K. Dey,et al. Understanding and Using Context , 2001, Personal and Ubiquitous Computing.
[70] Rehan Sadiq,et al. Improving the energy efficiency of the existing building stock: A critical review of commercial and institutional buildings , 2016 .
[71] Maria Rizzi,et al. Improving energy efficiency in building system using a novel people localization system , 2016, 2016 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS).
[72] Gwo-Jen Hwang,et al. A collaborative game-based learning approach to improving students' learning performance in science courses , 2013, Comput. Educ..
[73] Nursyarizal Mohd Nor,et al. A review on optimized control systems for building energy and comfort management of smart sustainable buildings , 2014 .
[74] James K. Scarborough,et al. Increasing Energy Efficiency With Entertainment Media , 2015 .
[75] Patrick Gebhard,et al. Context-Aware Automated Analysis and Annotation of Social Human--Agent Interactions , 2015, ACM Trans. Interact. Intell. Syst..
[76] Tuan Anh Nguyen,et al. Energy intelligent buildings based on user activity: A survey , 2013 .
[77] Andreas Kamilaris,et al. A case study on the individual energy use of personal computers in an office setting and assessment of various feedback types toward energy savings , 2015 .