IDEAS home Printed from https://ideas.repec.org/h/spr/prbchp/978-3-031-78471-2_40.html
   My bibliography  Save this book chapter

Integrating AI-Powered Personalization via Neurobiologically Informed DBT in Smart Wellness Resorts

Author

Listed:
  • Evgenia Gkintoni

    (University of Patras)

  • Georgios Telonis

    (University of Patras)

  • Anastasios Tsimakis

    (University of Patras)

  • Constantinos Halkiopoulos

    (University of Patras)

  • Basilis Boutsinas

    (University of Patras)

Abstract

Imagine the possibility of being able to bring together advanced technologies along with personal mental health interventions in a unique, evolved concept within the fast-changing landscape of wellness tourism. This paper explores a novel means by which AI-powered personalization is integrated with Neurobiologically Informed Dialectical Behavior Therapy at so-called smart wellness resorts. By embedding the DBT principles at the core of the wellness services, resorts can create an immersive therapeutic experience through machine learning that auto-adjusts in real time, meeting each guest’s specific needs. Such a framework would implement wearable devices and mobile applications that capture data related to comprehensive behavioral information from guests, which can be analyzed using predictive analytics to perform DBT tailoring. It also encompasses designing and developing dynamic wellness programs that evolve in stay, based on emotions and physical states of guests, smart room features, and AI-powered virtual assistants. Anticipated gains include improved guest satisfaction, improvement in long-term mental health, and operational insights leading to continuous service enhancement. The discussion will cover how such integrated services might contribute to the wellness tourism industry, the competitive advantage of the resorts, and long-term mental health benefits for their guests. Research on effectiveness, trials of the technology, and market analysis will be provided to establish feasibility and, therefore, the effect this innovative approach may have in transforming the future of wellness tourism.

Suggested Citation

  • Evgenia Gkintoni & Georgios Telonis & Anastasios Tsimakis & Constantinos Halkiopoulos & Basilis Boutsinas, 2025. "Integrating AI-Powered Personalization via Neurobiologically Informed DBT in Smart Wellness Resorts," Springer Proceedings in Business and Economics,, Springer.
    • Handle: RePEc:spr:prbchp:978-3-031-78471-2_40
    DOI: 10.1007/978-3-031-78471-2_40
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    More about this item

    Keywords

    Wellness tourism; DBT; AI; Behavioral data; Emotional regulation; Wearable devices; Virtual assistants;
    All these keywords.

    JEL classification:

    • Z32 - Other Special Topics - - Tourism Economics - - - Tourism and Development
    • Z33 - Other Special Topics - - Tourism Economics - - - Marketing and Finance
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:prbchp:978-3-031-78471-2_40. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.