Trust of Virtual Agent in Multi Actor Interactions

DOI

10.2991/jrnal.2018.4.4.8How to use a DOI?

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 Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - JOUR
AU  - Halimahtun M. Khalid
AU  - Liew Wei Shiung
AU  - Voong Bin Sheng
AU  - Martin G. Helander
PY  - 2018
DA  - 2018/03/31
TI  - Trust of Virtual Agent in Multi Actor Interactions
JO  - Journal of Robotics, Networking and Artificial Life
SP  - 295
EP  - 298
VL  - 4
IS  - 4
SN  - 2352-6386
UR  - https://doi.org/10.2991/jrnal.2018.4.4.8
DO  - 10.2991/jrnal.2018.4.4.8
ID  - Khalid2018
ER  -