Understanding perceived trust to reduce regret

Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

4 Citaties (Scopus)
4 Downloads (Pure)

Uittreksel

Trust is fundamental for promoting the use of online services, such as e-commerce or e-health. Understanding how users perceive trust online is a precondition to create trustworthy marketplaces. In this article, we present a domain-independent general trust perception model that helps us to understand how users make online trust decisions and how we can help them in making the right decisions, which minimize future regret. We also present the results of a user study describing the weight that different factors in the model (e.g., security, look&feel, and privacy) have on perceived trust. The study identifies the existence of a positive correlation between the user's knowledge and the importance placed on factors such as security and privacy. This indicates that the impact factors as security and privacy have on perceived trust is higher in users with higher knowledge. Keywords: perceived trust; trust decision; regret; security; privacy
Originele taal-2Engels
Pagina's (van-tot)327-347
Aantal pagina's21
TijdschriftComputational Intelligence
Volume31
Nummer van het tijdschrift2
DOI's
StatusGepubliceerd - 2015

Vingerafdruk

Regret
Privacy
Health
Impact Factor
Security Model
User Studies
Precondition
Electronic Commerce
Minimise

Citeer dit

@article{7d787a899a174473ab35a3156322b32e,
title = "Understanding perceived trust to reduce regret",
abstract = "Trust is fundamental for promoting the use of online services, such as e-commerce or e-health. Understanding how users perceive trust online is a precondition to create trustworthy marketplaces. In this article, we present a domain-independent general trust perception model that helps us to understand how users make online trust decisions and how we can help them in making the right decisions, which minimize future regret. We also present the results of a user study describing the weight that different factors in the model (e.g., security, look&feel, and privacy) have on perceived trust. The study identifies the existence of a positive correlation between the user's knowledge and the importance placed on factors such as security and privacy. This indicates that the impact factors as security and privacy have on perceived trust is higher in users with higher knowledge. Keywords: perceived trust; trust decision; regret; security; privacy",
author = "E. Costante and {Hartog, den}, J.I. and M. Petkovic",
year = "2015",
doi = "10.1111/coin.12025",
language = "English",
volume = "31",
pages = "327--347",
journal = "Computational Intelligence",
issn = "0824-7935",
publisher = "Wiley-Blackwell",
number = "2",

}

Understanding perceived trust to reduce regret. / Costante, E.; Hartog, den, J.I.; Petkovic, M.

In: Computational Intelligence, Vol. 31, Nr. 2, 2015, blz. 327-347.

Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

TY - JOUR

T1 - Understanding perceived trust to reduce regret

AU - Costante, E.

AU - Hartog, den, J.I.

AU - Petkovic, M.

PY - 2015

Y1 - 2015

N2 - Trust is fundamental for promoting the use of online services, such as e-commerce or e-health. Understanding how users perceive trust online is a precondition to create trustworthy marketplaces. In this article, we present a domain-independent general trust perception model that helps us to understand how users make online trust decisions and how we can help them in making the right decisions, which minimize future regret. We also present the results of a user study describing the weight that different factors in the model (e.g., security, look&feel, and privacy) have on perceived trust. The study identifies the existence of a positive correlation between the user's knowledge and the importance placed on factors such as security and privacy. This indicates that the impact factors as security and privacy have on perceived trust is higher in users with higher knowledge. Keywords: perceived trust; trust decision; regret; security; privacy

AB - Trust is fundamental for promoting the use of online services, such as e-commerce or e-health. Understanding how users perceive trust online is a precondition to create trustworthy marketplaces. In this article, we present a domain-independent general trust perception model that helps us to understand how users make online trust decisions and how we can help them in making the right decisions, which minimize future regret. We also present the results of a user study describing the weight that different factors in the model (e.g., security, look&feel, and privacy) have on perceived trust. The study identifies the existence of a positive correlation between the user's knowledge and the importance placed on factors such as security and privacy. This indicates that the impact factors as security and privacy have on perceived trust is higher in users with higher knowledge. Keywords: perceived trust; trust decision; regret; security; privacy

U2 - 10.1111/coin.12025

DO - 10.1111/coin.12025

M3 - Article

VL - 31

SP - 327

EP - 347

JO - Computational Intelligence

JF - Computational Intelligence

SN - 0824-7935

IS - 2

ER -