The EnviroMapper Toolkit: an Input Physicalisation that Captures the Situated Experience of Environmental Comfort in Offices
Silvia Cazacu, Stien Poncelet, Emma Feijtraij, Andrew Vande Moere
TL;DR
The paper addresses the challenge of capturing situated, personal experiences of environmental comfort in office settings by introducing the EnviroMapper Toolkit, an input physicalisation that records moments and locations of comfort or discomfort. Through two in-the-wild studies with 14 participants, the authors demonstrate rich, location-based artefacts and show that domain experts can interpret the data without being present during construction. The work details an iterative design process from low- to high-fidelity prototypes, outlines the encoding rules and mapping workflow, and presents findings on appropriation strategies and interpretation challenges. Overall, the study shows that while the toolkit yields nuanced, actionable data, there are trade-offs between data richness, cognitive load, and social privacy, informing design considerations for future input physicalisation approaches in organizational settings.
Abstract
The environmental comfort in offices is traditionally captured by surveying an entire workforce simultaneously, which yet fails to capture the situatedness of the different personal experiences. To address this limitation, we developed the EnviroMapper Toolkit, a data physicalisation toolkit that allows individual office workers to record their personal experiences of environmental comfort by mapping the actual moments and locations these occurred. By analysing two in-the-wild studies in existing open-plan office environments (N=14), we demonstrate how this toolkit acts like a situated input visualisation that can be interpreted by domain experts who were not present during its construction. This study therefore offers four key contributions: (1) the iterative design process of the physicalisation toolkit; (2) its preliminary deployment in two real-world office contexts; (3) the decoding of the resulting artefacts by domain experts; and (4) design considerations to support future input physicalisation and visualisation constructions that capture and synthesise data from multiple individuals.
