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Article
Publication date: 26 March 2024

Daniel Nygaard Ege, Pasi Aalto and Martin Steinert

This study was conducted to address the methodical shortcomings and high associated cost of understanding the use of new, poorly understood architectural spaces, such as…

Abstract

Purpose

This study was conducted to address the methodical shortcomings and high associated cost of understanding the use of new, poorly understood architectural spaces, such as makerspaces. The proposed quantified method of enhancing current post-occupancy evaluation (POE) practices aims to provide architects, engineers and building professionals with accessible and intuitive data that can be used to conduct comparative studies of spatial changes, understand changes over time (such as those resulting from COVID-19) and verify design intentions after construction through a quantified post-occupancy evaluation.

Design/methodology/approach

In this study, we demonstrate the use of ultra-wideband (UWB) technology to gather, analyze and visualize quantified data showing interactions between people, spaces and objects. The experiment was conducted in a makerspace over a four-day hackathon event with a team of four actively tracked participants.

Findings

The study shows that by moving beyond simply counting people in a space, a more nuanced pattern of interactions can be discovered, documented and analyzed. The ability to automatically visualize findings intuitively in 3D aids architects and visual thinkers to easily grasp the essence of interactions with minimal effort.

Originality/value

By providing a method for better understanding the spatial and temporal interactions between people, objects and spaces, our approach provides valuable feedback in POE. Specifically, our approach aids practitioners in comparing spaces, verifying design intent and speeding up knowledge building when developing new architectural spaces, such as makerspaces.

Details

Engineering, Construction and Architectural Management, vol. 31 no. 13
Type: Research Article
ISSN: 0969-9988

Keywords

Article
Publication date: 28 June 2022

Helmut Nechansky

The paper analyzes how the goal-setting of two individuals or social units A and B determines the utilities, which the two parties can gain in a dyadic interaction.

Abstract

Purpose

The paper analyzes how the goal-setting of two individuals or social units A and B determines the utilities, which the two parties can gain in a dyadic interaction.

Design/methodology/approach

The analysis is based on a dyadic utility space representing the utilities of A and B along the x and y axis, respectively. In this space the goal-orientation of an individual action is mapped with a vector, where its angle shows the combination of utilities of A and B aimed at, and the length corresponds to the strength of an action.

Findings

Analyzing actions of A and responses of B in the dyadic utility space allows (a) calculating single and joint utilities, (b) identifying the narrow range of equal utility for both and (c) identifying four vectors for maximizing different combinations of utility. Studying combinations of these four vectors in a 4 × 4 ‘Interaction - Utility Matrix’ shows how the goal-setting of A for a prime action widely predetermines, before a response of B, the realizable dyadic utility for both.

Practical implications

The dyadic utility space allows illustrating any dyadic interaction: It shows all possible dyadic “payoffs” investigated in game theory; it allows studying repeated exchange and resulting accumulation of utility; it allows mapping power relations.

Originality/value

The paper shows the interrelation between cybernetic principles of control, goal-orientated human behavior and the utility concept of social sciences. And it allows rejecting Adam Smith’s 18th myth of an “invisible hand”.

Details

Kybernetes, vol. 52 no. 10
Type: Research Article
ISSN: 0368-492X

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