Training on the job: Behavioral analysis of job interviews in hospitality

Details

Serval ID
serval:BIB_E841EE8AFD17
Type
Inproceedings: an article in a conference proceedings.
Collection
Publications
Institution
Title
Training on the job: Behavioral analysis of job interviews in hospitality
Title of the conference
Proceedings of the 18th ACM International Conference on Multimodal Interaction
Author(s)
Muralidhar S., Nguyen L. S., Frauendorfer D., Odobez J. M., Schmid Mast M., Gatica-Perrez D.
Address
Tokyo, Japan
ISBN
978-1-4503-4556-9
Publication state
Published
Issued date
2016
Peer-reviewed
Oui
Pages
84-91
Language
english
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.
Keywords
Social computing, Job interview, Nonverbal behavior, First impressions, Multimodal interaction
Web of science
Create date
29/11/2016 11:34
Last modification date
20/08/2019 16:11
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