Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Potential and pitfalls of romantic Artificial Intelligence (AI) companions: A systematic review
12
Zitationen
4
Autoren
2025
Jahr
Abstract
As Artificial Intelligence (AI) becomes more integrated into daily life, individuals have increasingly turned to AI-driven systems for emotional support, companionship, and even romantic relationships. These relationships can be both beneficial and detrimental. Given the need for a comprehensive understanding of this phenomenon, this systematic review uses Sternberg's Triangular Theory of Love to provide a holistic summary of its key potentials and pitfalls. A total of 23 articles were identified from the following databases: EBSCOhost ERIC, EBSCOhost PsycInfo, PubMed, Scopus, and Web of Science. Results highlighted the key potentials of being in a romantic relationship with AI companions as: the facilitation of personal growth and well-being, provision of emotional connection and perceived social support, availability of customisation options, ability to form a sexual connection, as well as a possible outlet for users to seek entertainment and stress-relieving companionship. However, the phenomenon also raises concerns, as it may lead to users' over-reliance and susceptibility to manipulation from the chatbot, perceived shame from stigma surrounding romantic-AI companions, risk of personal data misuse, erosion of human relationships, perpetuation of biases, erosion of emotional connection from abrupt system updates and technical glitches, discomfort from uncanny valley effects, or concerns surrounding coercion to respond and early exposure to sexual content. This systematic review synthesises the dual-edged nature of romantic relationships with AI companions, and outlines critical avenues for future research.
Ähnliche Arbeiten
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.776 Zit.
An Experiment in Linguistic Synthesis with a Fuzzy Logic Controller
1999 · 5.632 Zit.
An experiment in linguistic synthesis with a fuzzy logic controller
1975 · 5.563 Zit.
A FRAMEWORK FOR REPRESENTING KNOWLEDGE
1988 · 4.548 Zit.
Opinion Paper: “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy
2023 · 3.360 Zit.