Authors
Halimahtun M. Khalid, Liew Wei Shiung, Voong Bin Sheng, Martin G. Helander
Corresponding Author
Halimahtun M. Khalid
Available Online 31 March 2018.
DOI
https://doi.org/10.2991/jrnal.2018.4.4.8
Keywords
Trust, virtual agent, measurement, human-agent interaction.
Abstract
Trust is crucial when integrating virtual agents in human teams. Our study
investigated the combined use of psychological and physiological measures
in predicting human trust of agents undertaking social tasks. The psychological
measures comprised trust scores on ability, benevolence and integrity.
The physiological measures included facial expressions, voice, heart rate
and gestural postures. Subjects interacted with two avatars. A neuro-fuzzy
algorithm extracted rules from the psychophysiological data to predict
trust. Results revealed that trust can be predicted with 88% accuracy.
Copyright
© 2018, the Authors. Published by ALife Robotics Corp. Ltd.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0