Abstract
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.
Original language | English |
---|---|
Title of host publication | ICMI 2020 Companion |
Subtitle of host publication | Companion Publication of the 2020 International Conference on Multimodal Interaction |
Place of Publication | New York |
Publisher | Association for Computing Machinery (ACM) |
Pages | 196-205 |
Number of pages | 10 |
ISBN (Print) | 9781450380027 |
DOIs | |
Publication status | Published - 2020 |
Event | 22nd ACM International Conference on Multimodal Interaction, ICMI 2020 - Virtual, Online, Netherlands Duration: 25 Oct 2020 → 29 Oct 2020 Conference number: 22 |
Conference
Conference | 22nd ACM International Conference on Multimodal Interaction, ICMI 2020 |
---|---|
Abbreviated title | ICMI 2020 |
Country/Territory | Netherlands |
Period | 25/10/20 → 29/10/20 |
Keywords
- Conversation quality
- Individual experiences
- Inter-annotator agreement
- Perceived annotations
- Questionnaires
- Social constructs
- Spontaneous interactions