Stress Monitoring in Conflict Resolution Situations

Abstract

Online Dispute Resolution is steadily growing to become the major alternative to litigation in court. In fact, given the characteristics of current disputes, technology-based conflict resolution may be a quite efficient approach. However, in this shift of paradigm, there are also threats that should be considered. Specifically, in this paper we deal with the problem of the lack of important context information when parties communicate in a virtual setting. In that sense, we propose the addition of a monitoring framework capable of measuring the level of stress of the parties in a non-invasive way. This information will be used by the platform and the mediator throughout the complete conflict resolution process to adapt strategies in real-time, resulting in a context-aware and more efficient approach.

Multimodal behavioral analysis for non-invasive stress detection

“…With regard to the first question, we hypothesize that stress does influence our interaction patterns in a significant manner. We build on previous results in which significant differences in the parameters studied were found, with results varying from user to user (Novais et al, 2012). On the other hand, we are also supported by the work of other researchers who proved that stress does influence people's behaviors and physical responses (Healey and Picard, 2005), (Vizer et al, 2009), (Rehm, Bee and André, 2008).…”

“…Concerning the second question, we hypothesize that it is possible to measure, using non-invasive and non-intrusive methods, the level of stress of the users by analyzing key features in their interaction with technological devices. We build on previous work in which we were able to measure this without using any sensors expect for the ones available in the handheld devices (Carneiro et al, 2012).…”

A Statistical Classifier for Assessing the Level of Stress from the Analysis of Interaction Patterns in a Touch Screen

“…This environment allows us to capture information about the following parameters: Touch Accuracy, Touch Intensity, Touch Duration, Amount of Movement, Acceleration and Cognitive Performance. In previous work we have performed significance tests on these parameters to find differences at the level of the user due to stress (see for example [1,2]). In this paper, we use this test environment and, supported by the results previously achieved, we train a classifier that can distinguish between "stressed" and "calm" touch patterns.…”

Dynamically Improving Collective Environments through Mood Induction Procedures

“…Thus being, the approach devised focuses on the non-invasive analysis of the users' behavioural patterns. In previous work by the research team, it has been studied how stress aects the way users interact with handheld devices and the way they move inside the environment [5,6]. This approach, which was implemented in the past and will be implemented now, comprises the collection of data on several moments, with dierent congurations of the independent variables (e.g.…”