Wearable AI in Psychotherapy

Wearable artificial intelligence (AI) technologies emerge as powerful tools in the field of psychotherapy, offering new possibilities for real-time mental health monitoring, personalized interventions, and enhanced therapeutic outcomes. These devices continuously collect physiological and behavioral data such as heart rate variability, sleep patterns, and stress levels. When combined with AI algorithms, this data can be analyzed to detect emotional states, predict mood shifts, and even suggest coping strategies or interventions. By integrating wearable AI into psychotherapy, clinicians gain deeper insights into a patient s daily experiences, allowing for more dynamic, responsive, and individualized treatment plans. This fusion of technology and mental health care may create more accessible and data-informed psychotherapy. Wearable AI in Psychotherapy analyzes the effects that arise from the integration of wearable technology and AI in the field of psychotherapy and mental health care. It explores the integration of AI into wearable devices to aid in the identification, monitoring, and treatment of mental health conditions like anxiety, depression, and stress. This book covers topics such as mental health, phobia treatment, and ethics and law, and is a useful resource for psychotherapists, medical professionals, engineers, academicians, researchers, and scientists.

Asegul Hulus serves as an assistant professor while also being recognised as a fellow of the Higher Education Academy (FHEA). She is a distinguished researcher and author specialising in the field of computing. She holds memberships in esteemed organisations, including the Association for Computing Machinery (ACM) and the Institute of Electrical and Electronics Engineers (IEEE), among others. Additionally, she possesses skills in graphic design, video editing, audio production, and video game proficiency. Dr Hulus serves as a chair, chief editor, and peer reviewer for numerous journals, conferences, and publication houses. Furthermore, she holds a prominent position as one of the founding leaders in her field. Finally, she serves as a mentor for the Women4Cyber Foundation and holds various leadership positions in professional computing committees, such as the Association for Computing Machinery's Council on Women in Computing (ACM-W).

Dr. Hemachandran K is a distinguished academic and researcher in the fields of Artificial Intelligence, Machine Learning, and Business Analytics. He serves as the Director of the AI Research Centre and Associate Dean of the Graduate Program at the School of Business, Woxsen University. Dr. Hemachandran holds multiple prestigious positions, including Area Chair of the Analytics Department and named professorships: the Zita Zoltay Paprika Professor of Decision Sciences & Business Economics and the Course5i Chair Professor of Business Analytics and Machine Learning. His expertise spans Artificial Intelligence and Machine Learning, contributing significantly to the School of Business at Woxsen University.

Dr. Raul Villamarin Rodriguez is a professor and academic researcher specializing in Artificial Intelligence, Machine Learning, and Robotics at Woxsen University. His expertise in these cutting-edge fields is evidenced by his verified institutional email, highlighting his active engagement in both teaching and research. As a faculty member, Dr. Rodriguez contributes significantly to Woxsen University's academic programs and research initiatives in advanced technologies.

Dr. Manjeet Rege is a distinguished academic leader in the field of Software Engineering and Data Science. He serves as Professor and Chair of the Department of Software Engineering and Data Science, demonstrating his expertise and leadership in these crucial technological domains. Additionally, Dr. Rege holds the position of Director of the Center for Applied Artificial Intelligence, highlighting his significant role in advancing AI research and applications. His dual roles underscore Dr. Rege's comprehensive involvement in both the academic and practical aspects of software engineering, data science, and artificial intelligence. This combination of departmental leadership and research center directorship positions him at the forefront of technological education and innovation.

Dr. Mir Aadil is an Assistant Professor at Woxsen University, India. His research interests span across Natural Language Processing, Data Analytics, and Machine Learning. Dr. Aadil's academic expertise is further demonstrated through the diverse range of courses he teaches, including Data Sciences, Data Analytics, Machine Learning, Data Structures and Algorithms, and Theory of Automata and Formal Languages. He also provides instruction in programming languages such as C, C++, and Python. This combination of research focus and teaching portfolio positions Dr. Aadil at the intersection of theoretical computer science and practical applications in data-driven fields. His work contributes to both the academic advancement and the practical implementation of cutting-edge technologies in data science and artificial intelligence.