Mobile Sensing for Wellbeing Estimation of Urban Green using Physiological Signals.

Designing for wellbeing and a better quality of life is a challenge due to individual differences and contextual influences. How a person feels may depend on inner-body and outer-body circumstances. Moreover, some places may foster while others hinder wellbeing. The objective of this paper is to identify typical patterns across characteristics of the urban environment, the user's self-reported wellbeing as well as physiological measures as indicators of wellbeing. To this end, we conducted a study with 7 participants in an urban environment covering different kinds of climate zones. In addition to multi-sensor data collection, participants were asked to provide location-specific experience samples with the help of off-the-shelf wrist accessories and a smartphone. The paper at hand presents classification results for the collected data. It furthermore analyzes the limitations of the approach and discusses the potential for future therapeutic applications that enhance the value of urban green by making use of sensory technologies.