Authors
Lauren Fell, Andrew Gibson, Peter Bruza, Pamela Hoyte
Publication date
2020/3/14
Book
Proceedings of the 2020 conference on human information interaction and retrieval
Pages
145-152
Description
This perspectives paper proposes a conceptualization of trust that does not require a predefined feature space, but rather is dynamically formed at the point of information interaction through a cognitive predicting mechanism. Trust is a significant issue in the current information context due to fake news, echo chambers, filter bubbles, and confirmation biases which can result in a disconnect between human trust expectations and information trustworthiness, making it difficult to establish a feature space within which trust might be modeled. In response to this, we present our Cognitive Predicting Theory of Trust (CPTT) which allows trust to be modeled without the requirement of a predefined feature space. Drawn from the cognitive theory of Predictive Processing, CPTT describes how people form trust judgments based on cognitive predictions within a system of information interactions. We outline how this CPTT view of …
Total citations
201920202021202220232024131641
Scholar articles
L Fell, A Gibson, P Bruza, P Hoyte - Proceedings of the 2020 conference on human …, 2020