Toward a working theory for Human-Data Interaction in the Built Environment
Jennifer Li (University of Northumbria)
Gulben Calis (Ege University)
Diego Calvetti (Universidade do Porto)
Peter Demian (Loughborough University)
Mohamad Kassem (Newcastle University)
Mahir Msawil (University of Northumbria)
May Shayboun (Halmstad University)
Ranjith Soman (TU Delft - Integral Design & Management)
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Abstract
Human-Data Interaction is central to the dynamic nature of the construction industry and its growing reliance on substantial data sets. In this paper, we evaluate literature on the topic of Human-Data Interaction across several technologies and concepts within the built environment with the aim of identifying underlying aspects that can lead to an underpinning theory of Human-Data Interaction in the built environment to support advancement of the research in the field. Those aspects were identified as trust, game theory, empowerment of humans, human control, safety, accessibility, enhancing understanding, and the three pillars of Human-Data Interaction of agency, legibility, and negotiability.
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