On the complementary roles of face-to-face and mediated social interactions
نویسندگان
چکیده
Social interaction patterns have long been a subject of great interest. Several recent studies (e.g., [3, 2]) have examined the influence of face-to-face and mediated (e.g., phone, text and online social networks) communication channels on employees’ mood, but since their motivation stemmed from professional productivity, they did not include interactions that occurred outside the working environment. In this paper, we seek to understand how mood is affected by face-to-face and mediated interactions during the entire day, focusing on the relationship between the two types of interactions. Unlike previous studies, our analysis is performed on two distinct high-resolution datasets that were collected over long periods of time. We find that in different moods, people prefer one communication method (either face-to-face or mediated) and that the two types of interactions have complementary roles in practice. Moreover, this relationship becomes specifically strong in cases of extreme mood states – i.e. when people report being inordinately happy or unhappy. Our findings provide initial insights into how mood is affected by different types of social interactions, and can be used in the future as a basis for predicting and influencing individuals’ mood based on the pattern of their social interactions. For our analysis, we used the Friends and Family dataset [1] and the Mobile Territorial Lab dataset1. The Friends and Family dataset contains data on n = 130 participants that has been collected over the course of 12 months. The Mobile Territorial Lab dataset contains data on n = 70 participants that has been collected over the course of 6 weeks. In both datasets, call and text logs were collected using a dedicated Android app installed on the mobile devices of the participants. In addition, Bluetooth scans were collected and used as a proxy to face-to-face encounters with other individuals. Finally, mood data was collected via self-reported surveys that were completed by the participants on a daily basis. The selfreported surveys were introduced automatically as part of a mobile application, thus ensuring the reliability of the selfreported results. While the Friends and Family dataset measured mood directly on a scale of 1−7, the Mobile Territorial Lab followed the Positive and Negative Affect Schedule measure (PANAS) [4]. In order to make the results in the Mobile Territorial Lab dataset comparable to those of the Friends and Family dataset, we computed the average PA portion of the survey, rounded to the nearest integer, resulting in 5 distinct mood states.
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