Sensing to support group collaboration

This project investigates ways to support positive engagement in a group by using ICT(including sensing) to understand complex interactions between geographically disperse teams or between members of a same group. These could range from understanding the frequency of communication, the participants body language and some body parameters like heart beats frequency. Most important is the variations in such parameters in relation to project stages and significant events. This information allows managers to optimize the distribution of their resources to prevent problems, secure objectives and overall smooth up the overall process. We have looked at how humans interact in collaborative projects in software industry [1] and education [2,3]. A substantial part of the activities for this project have been supported by Erasmus projects led by Dr. George Dafoulas.

[1] Dafoulas, George and Maia, Cristiano Cardoso and Ali, Almaas and Augusto, Juan Carlos and Lopez, Victor (2017) Understanding collaboration in Global Software Engineering (GSE) teams with the use of sensors: introducing a multi-sensor setting for observing social and human aspects in project management. In: IE 2017 – 13th International Conference on Intelligent Environments (IE’17), 21-25 Aug 2017, Seoul, Korea (South).

[2] Dafoulas, George and Maia, Cristiano Cardoso and Samuels-Clarke, Jerome and Ali, Almaas and Augusto, Juan Carlos (2018) Investigating the role of biometrics in education – the use of sensor data in collaborative learning. In: 12th International Conference on e-Learning, 17-19 July 2018, Madrid, Spain.

[3] Dafoulas, George and Maia, Cristiano Cardoso and Ali, Almaas and Augusto, Juan Carlos (2018) Collecting sensor-generated data for assessing teamwork and individual contributions in computing student teams. In: 10th annual International Conference on Education and New Learning Technologies, 02-04 July 2018, Palma de Mallorca, Spain.

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