Developing and Validating Trust Measures for e-Commerce: An Integrative Typology
Information Systems Research
ISEC '02 Proceedings of the Third International Symposium on Electronic Commerce
Predicting User Trust in Information Systems: A Comparison of Competing Trust Models
HICSS '04 Proceedings of the Proceedings of the 37th Annual Hawaii International Conference on System Sciences (HICSS'04) - Track 8 - Volume 8
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IEEE Transactions on Knowledge and Data Engineering
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Communications of the ACM - Services science
Journal of Management Information Systems - Special section: Exploring the outlands of the MIS discipline
A User Behavior Based Trust Model for Mobile Applications
ATC '08 Proceedings of the 5th international conference on Autonomic and Trusted Computing
An adaptive trust control model for a trustworthy component software platform
ATC'07 Proceedings of the 4th international conference on Autonomic and Trusted Computing
Effects of displaying trust information on mobile application usage
ATC'10 Proceedings of the 7th international conference on Autonomic and trusted computing
AdContRep: a privacy enhanced reputation system for MANET content services
UIC'10 Proceedings of the 7th international conference on Ubiquitous intelligence and computing
Exploring trust of mobile applications based on user behaviors
INTRUST'09 Proceedings of the First international conference on Trusted Systems
TruBeRepec: a trust-behavior-based reputation and recommender system for mobile applications
Personal and Ubiquitous Computing
A survey of trust in social networks
ACM Computing Surveys (CSUR)
Exploring the impact of trust information visualization on mobile application usage
Personal and Ubiquitous Computing
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A mobile application is a software package that can be installed and executed on a mobile device. Which mobile application is more trustworthy for a user to purchase, download, install, consume or recommend becomes a crucial issue that impacts its final success. This paper proposes a computational trust model based on users' behaviors, which assists the evaluation and management of the mobile application's trust with user friendliness. We achieve our model through formalizing a trust behavior construct achieved from a user survey experiment though principle component analysis, reliability analysis, correlation analysis and confirmatory factor analysis. It is indicated that a user's trust behavior is a multidimensional construct composed of three main aspects: using behavior, reflection behavior, and correlation behavior. Particularly, we simulate a set of test data to visualize the validity of the formalization.