AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Psychophysiology

Showing 1 to 7 of 7 articles

Clear Filters

Anticipation: Beyond synthetic biology and cognitive robotics.

Bio Systems
The aim of this paper is to propose that current robotic technologies cannot have intentional states any more than is feasible within the sensorimotor variant of embodied cognition. It argues that anticipation is an emerging concept that can provide ...

An automated behavioral measure of mind wandering during computerized reading.

Behavior research methods
Mind wandering is a ubiquitous phenomenon in which attention shifts from task-related to task-unrelated thoughts. The last decade has witnessed an explosion of interest in mind wandering, but research has been stymied by a lack of objective measures,...

Comparing supervised and unsupervised approaches to emotion categorization in the human brain, body, and subjective experience.

Scientific reports
Machine learning methods provide powerful tools to map physical measurements to scientific categories. But are such methods suitable for discovering the ground truth about psychological categories? We use the science of emotion as a test case to expl...

Towards Parallel Selective Attention Using Psychophysiological States as the Basis for Functional Cognition.

Sensors (Basel, Switzerland)
Attention is a complex cognitive process with innate resource management and information selection capabilities for maintaining a certain level of functional awareness in socio-cognitive service agents. The human-machine society depends on creating i...

Conditioning to true content and artificial intelligence in psychophysiological intention recognition.

International journal of psychophysiology : official journal of the International Organization of Psychophysiology
OBJECTIVE: The objective is to introduce a novel method for classical conditioning to true content (CtTC), and for the first time, apply this approach in the concealed information test (CIT) to effectively discern intentions. During CtTC, participant...

Machine learning based classification of presence utilizing psychophysiological signals in immersive virtual environments.

Scientific reports
In Virtual Reality (VR), a higher level of presence positively influences the experience and engagement of a user. There are several parameters that are responsible for generating different levels of presence in VR, including but not limited to, grap...

A fuzzy-logic approach for longitudinal assessment of patients' psychophysiological state: an application to upper-limb orthopedic robot-aided rehabilitation.

Journal of neuroengineering and rehabilitation
Understanding the psychophysiological state during robot-aided rehabilitation is crucial for assessing the patient experience during treatments. This paper introduces a psychophysiological estimation approach using a Fuzzy Logic inference model to as...