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Journal Photo for Computers in Human Behavior
Peer reviewed only Open Access

Computers in Human Behavior (CHB)

Publisher : Elsevier
Psychology Cognitive Psychology Education
Claim Your Journal Get PRC Visit Website
e-ISSN 1873-7692
p-ISSN 0747-5632
Issue Frequency Bi-Monthly
Impact Factor 9.9
Est. Year 1985
Mobile +44 01865844640
Language English
APC YES
Impact Factor Assignee Google Scholar
Email editorialrevistas@elsevier.com

Journal Descriptions

Computers in Human Behavior is a scholarly journal dedicated to examining the use of computers from a psychological perspective. Original theoretical works, research reports, literature reviews, software reviews, book reviews and announcements are published. The journal addresses both the use of computers in psychology, psychiatry and related disciplines as well as the psychological impact of computer use on individuals, groups and society. The former category includes articles exploring the use of computers for professional practice, training, research and theory development. The latter category includes articles dealing with the psychological effects of computers on phenomena such as human development, learning, cognition, personality, and social interactions. The journal addresses human interactions with computers, not computers per se. The computer is discussed only as a medium through which human behaviors are shaped and expressed. The primary message of most articles involves information about human behavior. Therefore, professionals with an interest in the psychological aspects of computer use, but with limited knowledge of computers, will find this journal of interest.

Computers in Human Behavior (CHB) is :-

  • International, Peer-Reviewed, Open Access, Refereed, Psychology, Cognitive Psychology, Education, Developmental, Educational Psychology, Computer Science Applications, Humanities , Online or Print , Bi-Monthly Journal

  • UGC Approved, ISSN Approved: P-ISSN P-ISSN: 0747-5632, E-ISSN: 1873-7692, Established: 1985, Impact Factor: 9.9
  • Does Not Provide Crossref DOI

  • Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE

Publications of CHB

Machine learning techniques and older adults processing of online information and misinformation: A covid 19 study
Ketan Kotecha June, 2021
This study is informed by two research gaps. One, Artificial Intelligence's (AI's) Machine Learning (ML) techniques have the potential to help separate information and misinformation, but th...