  Social interactions in general are multifaceted and there exists a wide set
of factors and events that influence them. In this paper, we quantify social
interactions with a holistic viewpoint on individual experiences, particularly
focusing on non-task-directed spontaneous interactions. To achieve this, we
design a novel perceived measure, the perceived Conversation Quality, which
intends to quantify spontaneous interactions by accounting for several
socio-dimensional aspects of individual experiences.
  To further quantitatively study spontaneous interactions, we devise a
questionnaire which measures the perceived Conversation Quality, at both the
individual- and at the group- level. Using the questionnaire, we collected
perceived annotations for conversation quality in a publicly available dataset
using naive annotators. The results of the analysis performed on the
distribution and the inter-annotator agreeability shows that naive annotators
tend to agree less in cases of low conversation quality samples, especially
while annotating for group-level conversation quality.
