DocumentCode :
3647890
Title :
On line - Affective state reporting device: A tool for evaluating affective state inference systems
Author :
Susana Zoghbi;Elizabeth Croft;Dana Kulic;Machiel Van der Loos
Author_Institution :
Department of Mechanical Engineering, University of British Columbia, 6250 Applied Science Lane, Vancouver, CANADA V6T 1Z4
fYear :
2009
fDate :
3/1/2009 12:00:00 AM
Firstpage :
311
Lastpage :
312
Abstract :
The monitoring of human affective state is a key part of developing responsive and naturally behaving human-robot interaction systems. However, evaluation and calibration of physiologically monitored affective state data is typically done using offline questionnaires and user reports. In this paper we investigate the use of an online-device for collecting real-time user reports of affective state during interaction with a robot. These reports are compared to both previous survey reports taken after the interaction, and the affective states estimated by an inference system. The aim is to evaluate and characterize the physiological signal-based inference system and determine which factors significantly influence its performance. This analysis will be used in future work, to fine tune the affective estimations by identifying what kind of variations in physiological signals precede or accompany the variations in reported affective states.
Keywords :
"Biomedical monitoring","Robots","Humans","Estimation","Monitoring","Mechanical engineering","Educational institutions"
Publisher :
ieee
Conference_Titel :
Human-Robot Interaction (HRI), 2009 4th ACM/IEEE International Conference on
ISSN :
2167-2121
Print_ISBN :
978-1-60558-404-1
Electronic_ISBN :
2167-2148
Type :
conf
DOI :
10.1145/1514095.1514191
Filename :
6256079
Link To Document :
بازگشت