Track / Overview

New technologies such as online interview platforms and algorithms that analyze applicant behavior automatically, are used increasingly for recruitment and selection of new employees. In this track, we will present some of the ongoing research in this domain as well as what and how machine learning is used in practice in HR departments. We will demonstrate how soft skills and storytelling can be extracted from videotaped job interviews and how they relate to employee performance, how different interview platforms affect the behavior of the applicants, and how job-seekers can be assisted with new technological developments. We will talk about the advantages and pitfalls when developing and using such new technologies for selection and for employee training and development.

Track / Schedule

Automatic analysis of videotaped job applicants: Promises and limits

With Nele Dael & Marianne Schmid Mast

Automatic extraction of storytelling in job interviews

With Adrian Bangerter & Eric Mayor

Facing Employers and Customers: Cues for Perceived Soft Skills

With Skanda Muralidhar


Conventional versus non-conventional methods for job interviews

With Emmanuelle Kleinlogel

Supporting Job-seekers’ efficacy through self-reflection tools

With Mauro Cherubini

Innovation in HR: applications of AI in recruitment and organizational development

With Philippe Labouchère

Track / Speakers

Marianne Schmid Mast

Professor, UNIL

Philippe Labouchère

Business Development Manager, Vima

Skanda Muralidhar

Post doctoral Researcher, Idiap Research Institute

Mauro Cherubini

Assistant Professor, UNIL

Emmanuelle Kleinlogel

Researcher and Lecturer, HEC Lausanne

Nele Dael

Post-Doctoral Researcher, UNIL

Eric Mayor

Post Doc, University of Basel

Adrian Bangerter

Track / Co-organizers

Marianne Schmid Mast

Professor, UNIL

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