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| Content Provider | ACM Digital Library |
|---|---|
| Author | Odobez, Jean-Marc Frauendorfer, Denise Muralidhar, Skanda Gatica-Perez, Daniel Schmid Mast, Marianne Nguyen, Laurent Son |
| Abstract | First impressions play a critical role in the hospitality industry and have been shown to be closely linked to the behavior of the person being judged.In this work, we implemented a behavioral training framework for hospitality students with the goal of improving the impressions that other people make about them. We outline the challenges associated with designing such a framework and embedding it in the everyday practice of a real hospitality school. We collected a dataset of 169 laboratory sessions where two role-plays were conducted, job interviews and reception desk scenarios, for a total of 338 interactions. For job interviews, we evaluated the relationship between automatically extracted nonverbal cues and various perceived social variables in a correlation analysis. Furthermore, our system automatically predicted first impressions from job interviews in a regression task, and was able to explain up to 32% of the variance, thus extending the results in existing literature, and showing gender differences, corroborating previous findings in psychology. This work constitutes a step towards applying social sensing technologies to the real world by designing and implementing a living lab for students of an international hospitality management school. . |
| Starting Page | 84 |
| Ending Page | 91 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781450345569 |
| DOI | 10.1145/2993148.2993191 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2016-10-31 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Social computing Job interview First impressions Nonverbal behavior Multimodal interaction |
| Content Type | Text |
| Resource Type | Article |
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