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Previously submitted to: JMIR Mental Health (no longer under consideration since Nov 20, 2022)

Date Submitted: Nov 19, 2022

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Using wearable technologies to explore the impact of built environment on emotion in real time: a systematic review

  • Yingqi Guo; 
  • Huihang Chen; 
  • Yaqi Wang; 
  • Peichao Liang; 
  • Terry Lum; 
  • Hector Tsang

ABSTRACT

Background:

Majorities of studies explored the effect of residential built environment on psychological status, however rare studies have been conducted to reveal the real-time relationship between environment and psychological status (e.g., emotion) based on space-time approach and wearable technologies in daily life.

Objective:

This systematic review was conducted with the aim to explore to what extend currently we know the relationship between built environment and emotion in real time and what methodologies, methods, advanced technologies have been applied to explore this relationship.

Methods:

The PRISMA approach was used to guide this systematic review. The review found 286 papers based on abstract screening, of which 20 papers met the full-text selection criteria.

Results:

This review has identified various advanced technologies (i.e., global positioning system (GPS), smart phone application, electrodermal activity (EDA), electrocardiogram (ECG), electroencephalography (EEG)) used in previous real-time studies based on time-space approach to explore the built environment and emotion relationship.

Conclusions:

The main findings and potential future directions were also discussed in the paper.


 Citation

Please cite as:

Guo Y, Chen H, Wang Y, Liang P, Lum T, Tsang H

Using wearable technologies to explore the impact of built environment on emotion in real time: a systematic review

JMIR Preprints. 19/11/2022:44446

DOI: 10.2196/preprints.44446

URL: https://preprints.jmir.org/preprint/44446

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