Abstract
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 11th IEEE/WIC/ACM International Conference on Intelligent Agent Technology |
| Editors | Boissier, O., et al. |
| Publisher | IEEE Computer Society Press |
| Pages | 256-263 |
| DOIs | |
| Publication status | Published - 2011 |
| Event | IEEE/WIC/ACM International Conference on Intelligent Agent Technology - Duration: 22 Jul 2011 → 27 Jul 2011 |
Conference
| Conference | IEEE/WIC/ACM International Conference on Intelligent Agent Technology |
|---|---|
| Period | 22/07/11 → 27/07/11 |
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Modeling and Validation of Biased Human Trust. / Hoogendoorn, M.; Jaffry, S.W.; van Maanen, P.; Treur, J.
Proceedings of the 11th IEEE/WIC/ACM International Conference on Intelligent Agent Technology. ed. / Boissier, O., et al. IEEE Computer Society Press, 2011. p. 256-263.Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review
TY - GEN
T1 - Modeling and Validation of Biased Human Trust
AU - Hoogendoorn, M.
AU - Jaffry, S.W.
AU - van Maanen, P.
AU - Treur, J.
PY - 2011
Y1 - 2011
N2 - When considering intelligent agents that interact with humans, having an idea of the trust levels of the human, for example in other agents or services, can be of great importance. Most models of human trust that exist, are based on some rationality assumption, and biased behavior is not represented, whereas a vast literature in Cognitive and Social Sciences indicates that humans often exhibit non-rational, biased behavior with respect to trust. This paper reports how some variations of biased human trust models have been designed, analyzed and validated against empirical data. The results show that such biased trust models are able to predict human trust significantly better. © 2011 IEEE.
AB - When considering intelligent agents that interact with humans, having an idea of the trust levels of the human, for example in other agents or services, can be of great importance. Most models of human trust that exist, are based on some rationality assumption, and biased behavior is not represented, whereas a vast literature in Cognitive and Social Sciences indicates that humans often exhibit non-rational, biased behavior with respect to trust. This paper reports how some variations of biased human trust models have been designed, analyzed and validated against empirical data. The results show that such biased trust models are able to predict human trust significantly better. © 2011 IEEE.
U2 - 10.1109/WI-IAT.2011.198
DO - 10.1109/WI-IAT.2011.198
M3 - Conference contribution
SP - 256
EP - 263
BT - Proceedings of the 11th IEEE/WIC/ACM International Conference on Intelligent Agent Technology
A2 - Boissier, O., et al., null
PB - IEEE Computer Society Press
ER -