SCHOLARLY RECORD
Peer-reviewed journal articles, scholarly reviews, book chapters and conference papers by Prof. Manish Kumar Verma across psychology, artificial intelligence, mental healthcare, workplace well-being and interdisciplinary research.
10 publications found
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SA Journal of Industrial Psychology · Vol. 52
This study investigates how workplace communication predicts employee well-being and contributes to breaking the cycle of occupational burnout.
SA Journal of Human Resource Management · Vol. 24
This article examines symbolic inclusion and the role of tokenism in psychological safety and job performance in the Indian information-technology context.
Journal of Obstetrics and Gynecology of India · Vol. 76 · pp. 226-232
This publication reports the adaptation and validation of the Prenatal Attachment Inventory for use in the Indian context.
Indian Journal of Psychological Medicine
This qualitative study explores usability, personalization and users’ perception of therapeutic progress in artificial-intelligence-based psychotherapy.
Indian Journal of Psychological Medicine · Vol. 47 · pp. 314-325
This review synthesizes the current state of artificial-intelligence applications in psychotherapy and examines clinical, ethical and research directions for future development.
Chatbots and Mental Healthcare in Psychology and Psychiatry · pp. 21-54
This book chapter discusses the transformative potential of artificial intelligence and conversational systems in psychology, psychiatry and mental healthcare.
Indian Journal of Psychological Medicine
This narrative review evaluates the potential and limitations of digital and artificial-intelligence-driven psychotherapy for ADHD, OCD, schizophrenia and substance-use disorders.
2023 International Conference on New Frontiers in Communication, Automation, Management and Security (ICCAMS 2023)
This conference paper presents a system for monitoring and controlling electricity consumption for home appliances.
2023 International Conference on New Frontiers in Communication, Automation, Management and Security (ICCAMS 2023)
This conference paper describes an artificial-intelligence-based data-augmentation process for detecting defects in injection molding.