Grants and Contributions:

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Title:
Off body affective and cognitive monitoring for adaptive applications
Agreement Number:
EGP
Agreement Value:
$24,783.00
Agreement Date:
Aug 23, 2017 -
Organization:
Natural Sciences and Engineering Research Council of Canada
Location:
Quebec, CA
Reference Number:
GC-2017-Q2-00520
Agreement Type:
Grant
Report Type:
Grants and Contributions
Additional Information:

Grant or Award spanning more than one fiscal year (2017-2018 to 2018-2019).

Recipient's Legal Name:
Tremblay, Sébastien (Université Laval)
Program:
Engage Grants for Universities
Program Purpose:

This Engage Project wishes to contribute to the development of innovative applications that can monitorx000D
emotional and cognitive states based on vocal prosody. Such applications will be beneficial since it will revealx000D
information about the interaction of two individuals, i.e. satisfaction or frustration, which can require anx000D
adjustment in strategy and stress detection or high workload, which can require reallocation of tasks andx000D
demands. Cortex medias' application already includes verbal content recognition. Adding the online monitoringx000D
of emotional and cognitive states based on vocal prosody (the way something is said as opposed to the actualx000D
linguistic meanings of the spoken words) will greatly enhance the validity of their application. Our approachx000D
combines experimental psychology and cognitive ergonomics to integrate the automatic calculation and onlinex000D
assessment of vocal prosodic features for the recognition of emotions and cognitive traits. First, the applicationx000D
will be further developed by integrating algorithms for the automatic calculation and online monitoring ofx000D
emotional and cognitive states during interactions between two individuals. The two dimensions used for thex000D
assessment will be satisfaction and workload. Second, the project will allow the refinement and validation ofx000D
the implemented algorithms by corroborating evaluation from the prosodic features using physiologicalx000D
measures and a facial expression system. Results of this proposed project will define guidelines andx000D
recommendations for designing applications that include recognition of users' emotional and cognitive statesx000D
based on prosodic features. The outcomes of the project will positively impact the Canadian technological,x000D
financial and education sectors, as well as other areas such as public security, intelligent tutoring, e-health andx000D
the gaming industry.