PhD Dissertation Proposal by Camellia ZAKARIA | A Multi Stage Detection and Prediction Modelling Approach to Promoting Wellness in Stress and Workgroup Ethos in the Environment

About The Talk

Work has become a major and increasing source of stress worldwide. Not being able to manage with stress-inducing tasks and interpersonal relationships at work can lead to psychosocial risks, which are among the most challenging issues faced by people and organisations. We aim to explore the creation of an impactful solution that survives and thrives among individuals and their workgroup collectives, with a central focus to help build and uphold positive personal ethos, enabling them to work progressively in their workgroups. Using primarily Wi-Fi indoor localisation system to analyse behavioural patterns and changes of individuals and collectives in-situ, this work consists of a two-phase longitudinal study to detect work stress and its severity, in student and curricular workgroups. In this talk, speaker will present results from the main study, and demonstrate the possibility of a large-scale behavioural system that can be deployed across similar working environments, so that, eventually, the system can translate common purpose for varied workgroups.

Speaker Biography

Camellia ZAKARIA is fifth year PhD candidate at Singapore Management University, School of Information Systems. Her research area is Software & Cyber-Physical Systems, with interest in human-computer interaction. She received her Bachelor of Science degree (Information Systems) from Singapore Management University, Singapore, in 2013. Prior to this, she worked as a Research Engineer at Singapore Management University and Research Officer at Institute for Infocomm Research, A*STAR. Her current research is centred on sensing technologies to understand mental health and social well-being.