Modeling and Validation of Biased Human Trust

M. Hoogendoorn; S.W. Jaffry; P. van Maanen; J. Treur

doi:10.1109/WI-IAT.2011.198

Modeling and Validation of Biased Human Trust

M. Hoogendoorn, S.W. Jaffry, P. van Maanen, J. Treur

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

Abstract

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.

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	https://doi.org/10.1109/WI-IAT.2011.198
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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10.1109/WI-IAT.2011.198

Cite this

@inproceedings{6e0d0918d82e4ef686b855eb610d84d5,

title = "Modeling and Validation of Biased Human Trust",

abstract = "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. {\textcopyright} 2011 IEEE.",

author = "M. Hoogendoorn and S.W. Jaffry and {van Maanen}, P. and J. Treur",

year = "2011",

doi = "10.1109/WI-IAT.2011.198",

language = "English",

pages = "256--263",

editor = "{Boissier, O., et al.}",

booktitle = "Proceedings of the 11th IEEE/WIC/ACM International Conference on Intelligent Agent Technology",

publisher = "IEEE Computer Society Press",

note = "IEEE/WIC/ACM International Conference on Intelligent Agent Technology ; Conference date: 22-07-2011 Through 27-07-2011",

}

Hoogendoorn, M, Jaffry, SW, van Maanen, P & Treur, J 2011, Modeling and Validation of Biased Human Trust. in Boissier, O., et al. (ed.), Proceedings of the 11th IEEE/WIC/ACM International Conference on Intelligent Agent Technology. IEEE Computer Society Press, pp. 256-263, IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 22/07/11. https://doi.org/10.1109/WI-IAT.2011.198

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

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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.

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DO - 10.1109/WI-IAT.2011.198

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EP - 263

BT - Proceedings of the 11th IEEE/WIC/ACM International Conference on Intelligent Agent Technology

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PB - IEEE Computer Society Press

T2 - IEEE/WIC/ACM International Conference on Intelligent Agent Technology

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ER -

Modeling and Validation of Biased Human Trust

Abstract

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