Increasing trust perceptions in the internet of things

Abstract

When interacting with objects and services in the Internet of Things, people will need to trust that their data is safe, and that "things" will do what they promise they will do. As part of a user evaluation of a toolkit for providing security and privacy information to users, we created two models to find a pattern in changes in the perception of trust in the participants. The model based on demographics was not very descriptive. But, the model based on participants' privacy concerns and trust traits revealed a good match between changes in trust based on information from our toolkit. While there were some limitations in the current study, it showed how TFT can be improved for future evaluations. © 2013 Springer-Verlag Berlin Heidelberg.