Let's track! strategies to establish active people tracking in workplaces

Williams, M 2017, Let's track! strategies to establish active people tracking in workplaces, Doctor of Philosophy (PhD), Architecture and Design, RMIT University.

Document type: Thesis
Collection: Theses

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Title Let's track! strategies to establish active people tracking in workplaces
Author(s) Williams, M
Year 2017
Abstract The action research component is conducted by developing a system that delivers insights into teamwork dynamics, as revealed by tracking the social network interactions that occur within collaborative work environments. I constructed a working prototype that utilised an indoor people tracking system that captures people's movements as they operate within their workspace. It is capable of simultaneously monitoring the progress of multiple cohabitating project teams. Focusing on providing context specific insights, I designed a flexible behaviour model that constructed customised social networks to extract interactions of interest from the tracked data. The visually rich analysis reporting that was layered with contextual cues enabled quick cognition by the intended viewer. The targeted user covers all levels of the organisation from project collaborators to the support personnel and upper management. With this setup, everyone can participate in a data-supported reflective learning process.

The original contribution of my research is two-fold. Firstly, the people tracking system and analytics I developed demonstrated the technical capability to provide real time insights to workspace design, project management and human resource management applications. Secondly, through reference to my three case studies, I argue that a user-centric approach is critical for the successful integration and adaptation of people tracking systems and analytics into real world workplace practices.
Degree Doctor of Philosophy (PhD)
Institution RMIT University
School, Department or Centre Architecture and Design
Subjects Simulation and Modelling
Organisational Behaviour
Ubiquitous Computing
Keyword(s) Social interactions
People analytics
People tracking
Face-to-face interactions
Data visualisation
Organisational studies
Workplace design
Network analysis
Collaborative behaviour modelling
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Created: Wed, 13 Sep 2017, 11:14:20 EST by Denise Paciocco
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