Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Agarwal, Kinjal; Balakumar, Nithya Sree; Ragul, Lalitha Title A name given to the resource Characteristics of Users Seeking Romantic Relationships on AI-Powered Dating Platforms and With AI Companions Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived Romantic Relationships in the Age of AI: Drivers, Challenges, and Outcomes;pp.353-401 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3373-6623-4.ch011" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3373-6623-4.ch011</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105036440499?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105036440499?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Agarwal K., Christ University, Bangalore, India; Balakumar N.S., Christ University, Bangalore, India; Ragul L., Christ University, Bangalore, India Description An account of the resource AI now underpins nearly every major dating platform, influencing how people discover partners, express themselves, and form romantic bonds. This chapter explains why studying AI in romance has become essential, outlining how algorithmic matching, behavioural design, and personalisation shape digital relationships. It identifies key demographic groups, personality traits, and attachment styles that are drawn to AI-enhanced dating contexts, and examines their motivations, attitudes, and self-presentation patterns across various platforms. The chapter also explores the rise of artificial intimacy, showing how AI companions provide emotional safety, stability, and reinforcement that encourage ongoing engagement. Using psychological approaches, it discusses how users perceive AI as a romantic or supportive figure and how these perceptions interact with individual needs. Ultimately, the chapter highlights how user characteristics and AI design together drive the emergence of new forms of digital intimacy and their broader psychological and social implications. Copyright 2026, IGI Global Scientific Publishing. Copying or distributing in print or electronic forms without written permission of IGI Global Scientific Publishing is prohibited. Use of this chapter to train generative artificial intelligence (AI) technologies is expressly prohibited. The publisher reserves all rights to license its use for generative AI training and machine learning model development. Publisher An entity responsible for making the resource available IGI Global Relation A related resource ISBN: 979-833736625-8; 979-833736623-4; 979-833736624-1; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online