Bayesian and predictive coding theories of perception suggest that higher brain areas send predictions down the sensory processing hierarchy (Jaynes 1988; Friston and Kiebel 2009), and the benefit of having a scene model to guide perception has long been recognized.
The study also used the Rasch model to measure public perceptions on the implications of the changing urban peripheries.
This paper presents the Rasch Measurement Model to determine employer perceptions of student ability during industrial training.
In 2007, Kim and Chang [14] use TAM model to investigate users' perceptions about the design and operation of health information websites.
This research aims to extend the Unified Theory of Acceptance and Use Technology (UTAUT) model to understand the perceptions that individuals have towards working with BIM.
The common sense model of self-regulation (CSM) developed by Leventhal et al [ 20] is a commonly used theoretical model to understand patients perceptions of illness.
We developed a grounded theory model to understand community perceptions and mothers' experiences of distress, explore distressed mothers' interactions with family members and the wider community, and identify strategies used by mothers to deal with distress.
Exclusion of the PPD items from the PAPA instrument substantially improved the model fit (see details in results section) so it was decided that a five-factor model (excluding PPD) might represent a more appropriately scoped model to measure parental perceptions about antibiotics.
We will then use a mixed model to describe clinicians' perceptions of the attributes of the decision boxes (5-point smiley-faces rating scale, IAM), taking into account the clinical topic of the Decision Box, the study site, clinician's status (nurse, resident, physician) and socio demographic characteristics of the participants.
In this paper, a perception-enhanced smart robotic limb is presented to realize deeper incorporation of information in physical layers by deploying a three-channel perception and a semantic reasoning model to allow comprehensive perception of related objects, human actions and commands, for better adaption and robustness to environment changes.
