Programming iSpaces — A Tale of Two Paradigms

Callaghan, Vic; Colley, Martin; Hagras, Hani; Chin, Jeannette; Doctor, Faiyaz; Clarke, Graham S.

doi:10.1007/978-1-84628-429-8_24

Cited by 24 publications

(17 citation statements)

References 16 publications

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“…iDorm is an installation of gadgets, sensors and effectors in a student bedroom. iDorm is a two-bedroom apartment with an installation of sensors and actuators heavily influenced by iDorm [26]. iSpace furnishings are fitted with intelligent gadgets that can detect and learn the occupants behavior.…”

Section: The Residential Sectormentioning

confidence: 99%

Energy intelligent buildings based on user activity: A survey

Nguyen

Aiello

2013

Energy and Buildings

595

297

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a b s t r a c tOccupant presence and behaviour in buildings has been shown to have large impact on heating, cooling and ventilation demand, energy consumption of lighting and appliances, and building controls. Energyunaware behaviour can add one-third to a building's designed energy performance. Consequently, user activity and behaviour is considered as a key element and has long been used for control of various devices such as artificial light, heating, ventilation, and air conditioning. However, how are user activity and behaviour taken into account? What are the most valuable activities or behaviours and what is their impact on energy saving potential? In order to answer these questions, we provide a novel survey of prominent international intelligent buildings research efforts with the theme of energy saving and user activity recognition. We devise new metrics to compare the existing studies. Through the survey, we determine the most valuable activities and behaviours and their impact on energy saving potential for each of the three main subsystems, i.e., HVAC, light, and plug loads. The most promising and appropriate activity recognition technologies and approaches are discussed thus allowing us to conclude with principles and perspectives for energy intelligent buildings based on user activity.

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Section: The Residential Sectormentioning

confidence: 99%

Energy intelligent buildings based on user activity: A survey

Nguyen

Aiello

2013

Energy and Buildings

595

297

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“…It is clear that agents can be advantageous to users in management of intelligent environments and other pervasive computing systems. Callaghan et al maintain that the use of artificial intelligence in such systems means much of the cognitive load that would be placed on the user could be off-loaded onto agents operating on the user's behalf [7].…”

Section: Background and Related Wordmentioning

confidence: 99%

Introducing Intelligent Environments, Agents and Autonomy to Users

Ball

Callaghan

2011

2011 Seventh International Conference on Intelligent Environments

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There is a long-standing debate over the role that intelligent agents should play and how much autonomy they should be given in user-centric systems such as intelligent environments and other pervasive computing technologies. A recent online survey has been conducted to assess people's opinions of the use of autonomy in intelligent environments. In order to conduct this survey, an animated video was created to explain the necessary concepts of intelligent environments to the survey participants. This short paper gives an overview of the online survey and discusses the explanation video.

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“…In addition, it uses linguistic IF-THEN rules to model behavior in a human-readable form. Fuzzy logic approaches for learning and tracking users' behavior have been employed in different scenarios [47], [48].…”

Section: Case Studiesmentioning

confidence: 99%

Furthering Service 4.0: Harnessing Intelligent Immersive Environments and Systems

Peña-Ríos

Hagras

Owusu

et al. 2018

IEEE Syst. Man Cybern. Mag.

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With the increasing complexity of service operations in different industries and more advanced uses of specialized equipment and procedures, the great current challenge for companies is to increase employees' expertise and their ability to maintain and improve service quality. In this regard, Service 4.0 aims to support and promote innovation in service operations using emergent technology. Current technological innovations present a significant opportunity to provide on-site, real-time support for field service professionals in many areas. It should be no surprise, then, that intelligent immersive environments have the potential to enhance service operations by improving customer service and increasing overall efficiency. Intelligent immersive systems combine immersive technologies with computational intelligence mechanisms to produce adaptive, context-aware environments for advanced decisionmaking support. Such technologies, e.g., mixed reality (MR) and augmented reality (AR), can potentially enhance working environments, optimizing resources by reducing time and location restrictions, leading to much faster knowledge transfer and a deeper understanding of different processes. These methods can also promote faster response times to provide field service technicians with on-the-job assistance in unfamiliar situations.

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Programming iSpaces — A Tale of Two Paradigms

Cited by 24 publications

References 16 publications

Energy intelligent buildings based on user activity: A survey

Energy intelligent buildings based on user activity: A survey

Introducing Intelligent Environments, Agents and Autonomy to Users

Furthering Service 4.0: Harnessing Intelligent Immersive Environments and Systems

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