Research Article
Smartphone app usage as a predictor of perceived stress levels at workplace
@INPROCEEDINGS{10.4108/icst.pervasivehealth.2015.260192, author={Venet Osmani and Raihana Ferdous and Oscar Mayora}, title={Smartphone app usage as a predictor of perceived stress levels at workplace}, proceedings={9th International Conference on Pervasive Computing Technologies for Healthcare}, publisher={IEEE}, proceedings_a={PERVASIVEHEALTH}, year={2015}, month={8}, keywords={occupational stress monitoring smartphones}, doi={10.4108/icst.pervasivehealth.2015.260192} }- Venet Osmani
Raihana Ferdous
Oscar Mayora
Year: 2015
Smartphone app usage as a predictor of perceived stress levels at workplace
PERVASIVEHEALTH
ICST
DOI: 10.4108/icst.pervasivehealth.2015.260192
Abstract
Explosion of number of smartphone apps and their diversity has created a fertile ground to study behaviour of smartphone users. Patterns of app usage, specifically types of apps and their duration are influenced by the state of the user and this information can be correlated with the self-reported state of the users. The work in this paper is along the line of understanding patterns of app usage and investigating relationship of these patterns with the perceived stress level within the workplace context. Our results show that using a subject-centric behaviour model we can predict stress levels based on smartphone app usage. The results we have achieved, of average accuracy of 75% and precision of 85.7%, can be used as an indicator of overall stress levels in work environments and in turn inform stress- reduction organisational policies, especially when considering interrelation between stress and productivity of workers.
