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Special Session on Machine Learning Applications in Psychology

IEEE World Congress on Computational Intelligence (WCCI) 2022

 

International Jiont Conference on Neural Networks (IJCNN) 2022

 

Padua, Italy _ 18 - 23 July, 2022

 

Abstract

Mental health includes our emotional, psychological, and social well-being. It affects how we think, feel, and act. It also helps determine how we handle stress, relate to others, and make healthy choices. Mental health is important at every stage of life, from childhood and adolescence through adulthood. Due to COVID-19 pandemic, demand for mental health services has increased dramatically and Pandemic-related mental illness has become a serious issue in society and work environments. Because of the costs associated with treatment, many individuals who experience mental health problems do not receive timely professional input. Cost is not the only contributing factor; other reasons include a shortage of therapists and the stigma associated with mental illness.

Artificial Intelligence is already transforming different industries, including psychology. Researchers are using machine learning to improve predictions, diagnoses, and treatments for mental illnesses. The intersection of machine learning and psychology is rapidly creating more precise, personalised mental health care. In addition to mental health, machine learning has been used in other aspects of psychology. Machine learning algorithms have been used for identifying personality types based on psychological methods and facilitate the staff recruitment process and job interviews in organisations. Applications of Machine Learning has also been used widely in Cognitive Science to improve the understanding of mental processes.

The aim of this special session is to collect scientific works devoted to new challenges in the field of Psychology, which can be addressed by applying Machine Learning techniques.

Aim and Scope

The aim of this special session is to obtain an insight into the current state of the practice of machine learning applications in addressing challenges faced in Psychology. Topics relevant to this session include, but are not limited to:

• Applications of machine learning for detection of anxiety.

 

• Applications of machine learning for detection of depression.

 

• Applications of machine learning for automatic diagnosis of Alzheimer

 

• Applications of machine learning for automatic detection of personality traits.

 

• Applications of machine learning for automatic detection of representational systems

 

• Applications of machine learning for identification of emotions based on facial expression.

 

• Applications of machine learning for identification of mood and level of physiological activation.

 

• Applications of machine learning for detection of unconscious thoughts.

 

• Applications of machine learning for automatic detection of addiction.

 

• Applications of machine learning for early detection of psychological problems.

 

• Applications of machine learning for detection of situations of risk to health.

 

• Applications of machine learning for automatic diagnosis of mental illness.

 

• Applications of machine learning for improving cognitive behavioural therapy (CBT).

 

• Applications of machine learning for personality development.

 

• Applications of machine learning for cognitive processing.

 

Submission Guidlines

This special session will be held in the 2022 International Joint Conference on Neural Networks-IJCNN, a part of the 2022 IEEE World Congress on Computational Intelligence (https://wcci2022.org/) (Padua, Italy, July 18-23, 2022). All papers should be prepared according to the IJCNN 2022 policy and should be submitted electronically using the conference website (https://wcci2022.org/submission/). To submit your paper to this special session, you have to choose our special session on the submission page. All papers accepted and presented at the IEEE IJCNN 2022 will be included in the conference proceedings published by IEEE Explore.

 

Special Session Organisers

Main Organiser and Corisponding Contact

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Co-organiser

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DR MOHAMMAD HOSSEIN AMIRHOSSEINI

DR JULIE WALL

Intelligent Systems Research Group,

Department of Computer Science and Digital Technologies,

School of Architecture, Computing and Engineering,

University of East London

Email: M.H.Amirhosseini@uel.ac.uk

Intelligent Systems Research Group,

Department of Computer Science and Digital Technologies,

School of Architecture, Computing and Engineering,

University of East London

Email: J.Wall@uel.ac.uk