1. Informal face-to-face interaction improves mood state reflected in prefrontal cortex activity
- Author
-
Jun-Ichiro eWatanabe, Hirokazu eAtsumori, and Masashi eKiguchi
- Subjects
Prefrontal Cortex ,working memory ,Near-infrared spectroscopy (NIRS) ,face-to-face interaction ,mood state ,Neurosciences. Biological psychiatry. Neuropsychiatry ,RC321-571 - Abstract
Recent progress with wearable sensors has enabled researchers to capture face-to-face interactions quantitatively and given great insight into human dynamics. One attractive field for applying such sensors is the workplace, where the relationship between the face-to-face behaviors of employees and the productivity of the organization has been investigated. One interesting result of previous studies showed that informal face-to-face interaction among employees, captured by wearable sensors that the employees wore, significantly affects their performance. However, the mechanism behind this relationship has not yet been adequately explained, though experiences at the job scene might qualitatively support the finding. We hypothesized that informal face-to-face interaction improves mood state, which in turn affects the task performance. To test this hypothesis, we evaluated the change of mood state before and after break time for two groups of participants, one that spent their breaks alone and one that spent them with other participants, by administering questionnaires and taking brain activity measurements. Recent neuroimaging studies have suggested a significant relationship between mood state and brain activity. Here, we show that face-to-face interaction during breaks significantly improved mood state, which was measured by Profiles of Mood States (POMS).We also observed that the verbal WM task performance of participants who did not have face-to-face interaction during breaks decreased significantly. In this paper, we discuss how the change of mood state was evidenced in the prefrontal cortex (PFC) activity accompanied by working memory (WM) tasks measured by near-infrared spectroscopy (NIRS).
- Published
- 2016
- Full Text
- View/download PDF