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In this paper we present an experimental methodology for the evaluation and comparison of indoor workplace qualities. We investigate how factors such as the overall available spatial connectivity and visual perception in conjunction with environmental variables such as natural daylight affect the face-to-face communication potential in office space...
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... of face-to-face communication depended on the spatial layout of office spaces. Through an empirical study conducted on office buildings they derived a 2D correlation, the so-called Henn-Allen curve. This maps the weekly frequency of interaction between employees as a function of the distance of their respective workstations. As illustrated in Fig. 1 the Henn-Allen curve resembles an asymptotic function. It is important to point out that in the same publication, communication in various forms between peers, groups and departments/professions is identified as the most important factor for the increase of productivity. "In an organization that relies on creative solutions to ...
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... on the notion of generating a more discrete usage profile for the probed space, we refined the analysis process of the RGB color scheme as seen in Fig. 10. The scheme here is dissolved into the full color spectrum also ranging from black to white. In order to do that we take the initial RGB colors and allocate them to a 3D vector. This is achieved by equating the RGB ranges to the spatial axial dimensions of X, Y, Z. With this method we are also able to measure the intensity of the ...
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... shown in Fig. 11 we have mapped the 6 Categories to the original analysis meshes. We can then also generate automated graphs outlining the percentual relationship or frequency of occurrence of each mesh face. ...
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... spatial qualities for potential interaction and communication are offered on its way. Based on our 6 Categories Analysis we visualize the perceived or experienced sequence of zones unrolled in various graphical maps (Fig 12). ...
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... on the corresponding Multi-Variable-Heatmap via a agent. Both the real and digital movement are merged in a resulting video sequence. In a next step a subject group will compare the digital findings with the on-site recordings to categorize the observed accordances and differences between the physical and digtal experienced space through surveys (Fig. ...
Citations
... The findings were visualized through various interactive graphical maps (Fig.01a). The research offers a multi-category profiling of the probed spaces, hereby highlighting potential spatial zones for the various modes of communication (Betti, Aziz and Ron 2020). The Experiential Map (Fig.01b) for example visualizes the potential spatial qualities for interaction and communication from the perspective of a human or agent moving through the space from the entrance to a designated workspace. ...
This paper presents an early-stage process to track communication patterns in office spaces using a real-time location system with sub-meter accuracy. A custom frontend application is used to assess and map the positioning data, with the goal of gathering empirical evidence on how spatial intervention can improve workplace communication and productivity. The case-study involved equipping an architectural firm's office and employees with tracking devices to gather data on their communicative behavior. Unsupervised machine learning algorithms are compared to identify location, quantity, and duration of tracked meeting events, providing insights into participants' communication behavior. While initial results are promising, this is a work in progress. The effect of tracking on individuals is being investigated through self-assessment questionnaires. Further research is needed to understand the potential impact of spatial intervention on workplace communication and productivity. The paper aims to contribute to the development of evidence-based design strategies in architecture and related fields.
Designing architectural and urban spaces based on continuous human spatial experience throughout a sequence may lead to architectural and urban forms not bound to conventional concepts. These forms would be made possible through the combination of a quantitative sequential landscape evaluation and morphological optimization utilizing algorithmic processes. In this study, we introduce a method for evaluating sequential landscapes, in which the configuration of buildings, trees, etc., in view changes as pedestrians move along a particular path, using a genetic algorithm optimization of architectural forms to bring them closer to the designer’s ideals. The method’s validity was tested using two case studies, assuming the design of a sequential landscape in an actual city and park. The results present a more efficient, objective, and reproducible method for designing sequences in buildings, cities, and landscapes, compared to traditional methods.
Architects and building owners often lack a systematic way to understand how their buildings are used, making it difficult to improve designs. To address this, the Sensing Behaviour framework provides method-ologies and tools to gain insights into the behaviour of building users. The framework connects pre-and post-creation loops to learn from past examples and inform future designs. Sensing Behavior uses object and relation detection algorithms on video streams to understand occupant behaviour. The framework couples detected objects and persons and their interactions as nodes and edges in a time-based graph representation. This paper describes the technical development of Sensing Behavior, related workflows, and protocols, and its implementation in a real-world use case as proof of concept. The framework's capability to record and analyze occupancy behaviour has the potential to inform future architecture and create sensor systems for better building design.
