Organization profile

Profile Information

The Interdisciplinary Centre for the Artificial Mind (iCAM) is an international Research Centre undertaking innovative research on the mind’s development over a lifespan, in interaction with artificial environments.

iCAM is dedicated to making the following over-arching contributions:

  • to guide new investigation into human-artificial environment interaction,
  • to analyse the development of mind within artificial environments,
  • to provide preventive solutions for human health disorders, and explore treatments of neurological diseases.

Three research streams constitute the basic research orientation of the Centre:

  • To understand mind functioning in everyday development over an entire lifespan through a strong theoretical background including fundamental research.
  • To analyse how neurocognitive development occurs when immersed in virtual/mixed/augmented reality and in interaction with robots.
  • To investigate the organisation and/or reorganisation of the mind in the presence of a neurodevelopmental disorder including ASD, prematurity or after a head injury, or a stroke, and through neuroeducation using virtual/mixed/augmented reality and robots.

Fingerprint The fingerprint is based on mining the text of the scientific documents related to the associated persons. Based on that an index of weighted terms is created, which defines the key subjects of research unit

Emotions Medicine & Life Sciences
Consciousness Medicine & Life Sciences
Individuality Medicine & Life Sciences
Play and Playthings Medicine & Life Sciences
Magnetic Resonance Imaging Medicine & Life Sciences
Robots Engineering & Materials Science
Arousal Medicine & Life Sciences
Neurons Medicine & Life Sciences

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Profiles

Photo of Oliver Baumann

Oliver Baumann

Person: Teaching and Research

20072018
Photo of Damian Cox

Damian Cox

Person: Teaching and Research

20032018
Photo of Irini Giannopulu
19952018

Research Output 2017 2018

  • 2 Citations
  • 1 h-Index
  • 5 Article
  • 1 Abstract
Open Access
File
Emotions
Arousal
Recognition (Psychology)
Healthy Volunteers
Research Design
1 Citations

Category-length and category-strength effects using images of scenes

Baumann, O., Vromen, J. M. G., Boddy, A. C., Crawshaw, E. & Humphreys, M. S., 21 Jun 2018, (Accepted/In press) In : Memory and Cognition. p. 1-14 14 p.

Research output: Contribution to journalArticle

Length
Recognition (Psychology)
Experiment
Prediction
Recognition Memory
1 Citations
Robot
Robots
Scenarios
Communication
Heart Rate