TELESAFE: TELEwork Safety and Activity Feedback Evaluation
A scalable and unsupervised application to detect work-private boundary crossings by analyzing aggregated, non-annotated time series.
- The work is based on the paper TELESAFE: Detecting Private/Work Boundary Crossings in Energy Consumption Trails in Telework. Haoying Zhang, Mariem Brahem, Nicolas Anciaux, Benjamin Nguyen, Jose Maria de Fuentes. [PDF]
Teleworking has become a standard practice since the COVID-19 pandemic. However, improper organization of work and private activities can lead to potential mental health issues for employees. Boundary crossings serve as key behavioral patterns. In a phrase, boundary crossings are when private activities occur during work periods and vice versa. Two classic examples of such patterns are breaks (private activities during work periods) and work overinvolvement (work activities during private periods).
The simulator of the dataset is shown below with the example of one teleworking day. The trail contains private activities during private time and work activities during work time (from 9h to 12h and from 13h50 to 17h15). The user can inject various private activities (TV and Multimediacenter) to simulate breaks or work activities for journalist. The saved dataset file can be imported in the following application.
The interface of the TELESAFE application is shown below with a scenario containing two breaks and one burn out (work overinvolvement). The two detections are shown in the second figure on the bottom with two different colors (breaks in brown and burn-outs in pink).
