Title
A Multi-Modal Virtual Environment To Train For Job Interview
Abstract
This paper presents 'a multi-modal interactive virtual environment (VE) to train for job interview. The proposed platform aims to train candidates (students, job hunters, etc.) to better master their emotional state and behavioral skills. The candidates will interact with a virtual recruiter represented by an Embodied Conversational Agent (ECA). Both emotional and behavior states will be assessed using human-machine interfaces and biofeedback sensors. Contextual questions will be asked by the ECA to measure the technical skills of the candidates. Collected data will be processed in real-time by a behavioral engine to allow a realistic multi-modal dialogue between the ECA and the candidate. This work represents a socio-technological rupture opening the way to new possibilities in different areas such as professional or medical applications.
Year
Venue
Keywords
2011
PECCS 2011: PROCEEDINGS OF THE 1ST INTERNATIONAL CONFERENCE ON PERVASIVE AND EMBEDDED COMPUTING AND COMMUNICATION SYSTEMS
Virtual reality, Human-computer interaction, Emotion recognition, Affective computing, Job interview
Field
DocType
Citations 
Virtual machine,Computer science,Job interview,Human–computer interaction,Multimedia,Modal
Conference
2
PageRank 
References 
Authors
0.45
0
4
Name
Order
Citations
PageRank
Hamza Hamdi161.29
Paul Richard2254.69
Aymeric Suteau381.36
Mehdi Saleh440.85