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| Content Provider | ACM Digital Library |
|---|---|
| Author | Kawsar, Fahim Mathur, Akhil Vanderhulst, Geert Mashhadi, Afra Van den Broeck, Marc |
| Abstract | Face-to-face interactions have proven to accelerate team and larger organisation success. Many past research has explored the benefits of quantifying face-to-face interactions for informed workplace management, however to date, little attention has been paid to understand how the feedback on interaction behaviour is perceived at a personal scale. In this paper, we offer a reflection on the automated feedback of personal interactions in a workplace through a longitudinal study. We designed and developed a mobile system that captured, modelled, quantified and visualised face-to-face interactions of 47 employees for 4 months in an industrial research lab in Europe. Then we conducted semi-structured interviews with 20 employees to understand their perception and experience with the system. Our findings suggest that the short-term feedback on personal face-to-face interactions was not perceived as an effective external cue to promote self-reflection and that employees desire long-term feedback annotated with actionable attributes. Our findings provide a set of implications for the designers of future workplace technology and also opens up avenues for future HCI research on promoting self-reflection among employees. . |
| Starting Page | 362 |
| Ending Page | 369 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781450345569 |
| DOI | 10.1145/2993148.2993187 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2016-10-31 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Personal feedback Face-to-face interaction Social sensing Workplace behaviour |
| Content Type | Text |
| Resource Type | Article |
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