A User-Centered Approach to User-Building Interactions

Kalvelage, Kelly; Dorneich, Michael C.

doi:10.1177/1541931214581419

Cited by 10 publications

(12 citation statements)

References 27 publications

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“…However, as argued by [58], the theory of environmental determinism does not recognize social aspects as an explanatory factor for user satisfaction [50]. Another stream of research uses the theory of constructivism [58] in buildings where society is defining the space and influencing people's behavior [51]. Constructivism is based on cultural and social standards as well as learned behaviors.…”

Section: Research Gaps Addressed In This Studymentioning

confidence: 99%

“…Constructivism is based on cultural and social standards as well as learned behaviors. However, the weakness of this stream of the theory is that the measures are difficult to quantify, with little support for construction designers, and the theory does not take into account the environmental impact on human behavior [50,58].…”

Section: Research Gaps Addressed In This Studymentioning

confidence: 99%

“…The user-centric approach is developed by [58]. The approach is grounded in user-centered theory for the built environment/buildings.…”

Section: Research Gaps Addressed In This Studymentioning

confidence: 99%

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Platform-Based Business Models: Insights from an Emerging AI-Enabled Smart Building Ecosystem

Ahokangas

Turunen

et al. 2019

Electronics

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Artificial intelligence (AI) is emerging to become a highly potential enabling technology for smart buildings. However, the development of AI applications quite often follows a traditional, closed, and product-oriented approach. This study aims to introduce the platform model and ecosystem thinking to the development of AI-enabled smart buildings. The study identifies the needs for a user-oriented digital service ecosystem and business model in the smart building sector in Finland, which aimed to facilitate the launch of scalable businesses and an experiential and dynamic business ecosystem. A multi-method, interpretive case study was applied in the focal ecosystem, with the leading real estate and facility management operators in Northern Europe as part of a Finnish national innovation project. Our results propose an extended comprehensive framework of the 5C ecosystemic model (Connection, Content, Computation, Context, and Commerce) and the possible paths of ecosystem players in the domain of smart building and smart built environment, both theoretically and empirically. The platform-oriented business models are missing, yet desired, by the ecosystem actors. The value chain and ecosystem platforms imply the quest for new (platform) models. Finally, our research discusses the need for new value-chain- and ecosystem-oriented AI development and big data platforms in the future.

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Section: Research Gaps Addressed In This Studymentioning

confidence: 99%

Section: Research Gaps Addressed In This Studymentioning

confidence: 99%

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Platform-Based Business Models: Insights from an Emerging AI-Enabled Smart Building Ecosystem

Ahokangas

Turunen

et al. 2019

Electronics

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“…In this way, disorientation or annoyance is avoided and people feel more in control. Reference [19] has indicated an improved user experience results when users regulate their environment. In addition, the concept of interactive learning allows to evaluate the quality of the database.…”

Section: State Of the Artmentioning

confidence: 99%

Estimating Occupancy Using Interactive Learning With a Sensor Environment: Real-Time Experiments

et al. 2019

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Interactive learning plays a key role in extending the occupant behavior implementation toward smart buildings. Efficient feedbacks can be obtained from the end user by involving occupants and increasing their awareness about energy systems. Working in highly energy-efficient buildings can be a great opportunity, but users need to feel empowered. This means making them aware of the building features and allowing them to manage some of the appliances. In this way, disorientation or annoyance is avoided, and people feel more in control. This paper proposes a solution to interact with occupants to estimate the number of occupants. A novel way of supervised learning is analyzed to estimate the occupancy in a room where actual occupancy is interactively requested to occupants when it is the most relevant to limit the number of interactions. Occupancy estimation algorithm relies on machine learning; it uses information gathered from occupants with the measurements collected from common sensors, for instance, motion detection, power consumption, and CO 2 concentration. Two different classifiers are investigated for occupancy estimation with interactions: a decision tree C4.5 and a parameterized rule-based classifier. In this paper, the question of when interacting with occupants is investigated. This approach avoids the usage of a camera to determine the actual occupancy. A complete real-time interaction environment has been developed and is used to estimate the occupancy in an office case study. The graphical user interface has been designed to carry out a real-time experiment.

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“…We have identified three ways in which this can occur. First is the potential to provide a finer grained control interface for occupants to enhance individual comfort, which has been shown to improve worker productivity [5]. To achieve this, we argue that the individual building occupant must be part of the control loop, with the capacity to create the micro climate that suits particular tasks and personal preferences.…”

Section: Introduction: Challenges and Opportunitiesmentioning

confidence: 99%

Hybrid Environmental-Media Facades

Moloney¹,

Globa²,

Wang³

2017

KEG

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<p>There is significant potential for responsive sun screening systems to improve the energy performance of large scale public and commercial buildings. However there has been minimal uptake, primarily due to the capital and maintenance costs. We propose that these costs can be offset by providing added value in three ways. (1) Development of a finer grained control interface for occupants to enhance individual comfort, which has been shown to improve worker productivity. (2) With a high granularity of panels and a control system that enables individual movement of each panel, the system can be re-purposed as a low resolution media screen to foster social interactions in urban settings. (3) Enabling a new movement-aesthetic for architecture of indeterminate states that coalesce and shift during the daily and seasonal cycles, thus enlivening the public face of architecture. To evaluate the feasibility of such hybrid responsive facades we are developing physical prototypes calibrated to real time simulation and control software. A initial proof-of-concept design explores the optimal configuration and geometry of the kinetic panels to enable the granularity required for a range of graphic and textural information, along with development of the actuator. We document progress to date on this research into hybrid environmental-media façades’.</p>

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A User-Centered Approach to User-Building Interactions

Cited by 10 publications

References 27 publications

Platform-Based Business Models: Insights from an Emerging AI-Enabled Smart Building Ecosystem

Platform-Based Business Models: Insights from an Emerging AI-Enabled Smart Building Ecosystem

Estimating Occupancy Using Interactive Learning With a Sensor Environment: Real-Time Experiments

Hybrid Environmental-Media Facades

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