Exploratory analysis of individuals' mobility patterns and experienced conflicts in workgroups

Abstract

© 2019 Association for Computing Machinery.Much research argues the importance of supporting social interactions in teams and communities. The field of mobile sensing alone offers significant advances in recording and understanding human and group behaviours. However, little is known about behavioural changes as a consequence of in-group phenomena. One prominent example is intra-group conflict, which naturally arises between diverse groups of people. We demonstrate the feasibility of our approach to extract mobility patterns of individual's group behaviours sensed from a WiFi indoor localisation system and explore how these patterns relate to their team processes. 62 students enrolled in a project-intensive module, Software Engineering, were tracked over 81 days. Preliminary analysis of mobility patterns and interview data revealed differences in the mobility patterns of individuals based on their experience of conflict.