Effect of personal data aggregation method on estimating group stress with wearable sensor: Consideration of group dynamics in workplaces

In this paper, we evaluate methods of aggregating personal sensor data to estimate the degree of group stress. We compare the estimation accuracy of two aggregation methods, one without and one with personal distribution scaling. As a result of applying the data of 9 groups of people (105 people) to the methods, it is shown that the no-scaling method successfully estimates the degree of group stress better than the other (average error = 1.19, r = 0.964). At the conclusion of discussion, it is suggested that the method without scaling is valid because both the group stress state and method reflect the interaction among people.