Author
Listed:
- Maria Savelidi
(Independent Researcher, Germany)
- Socrates Savelidis
(Independent Researcher, Greece)
- Christos Christoforidis
(Directorate of Secondary Education of Magnesia, Greece)
- Vassilis Kleitsas
(ristotle University, Greece)
- Areti Tzanetopoulou
(Directorate of Secondary Education of Magnesia, Greece)
- Rigo Fasouraki
(Directorate of Secondary Education of Magnesia, Greece)
Abstract
This paper explores the innovative use of Artificial Intelligence (AI) in empirical research, particularly focusing on Virtual Research Participants (VRPs). It addresses the challenge of conducting empirical research in social issues involving historical or non-existent individuals, where traditional methods are inadequate. The research illustrates how AI-driven virtual characters can be used as substitutes for real participants in qualitative studies, allowing researchers to simulate interviews with individuals from inaccessible times or worlds. The study uses a case from a 2024 school conference, where participants engaged in interviews with two virtual avatars, "Athinodoros" from ancient Athens and "Agisilaos" from ancient Sparta. These AI-generated characters, created using contemporary platforms, were programmed with historically accurate traits and used to explore attitudes toward gender equality in ancient Greece. By applying a modern metric scale, the study evaluated how well AI characters could simulate meaningful responses that align with historical contexts. The paper outlines the methodology used to create and program these VRPs, detailing the ethical considerations and the limitations of relying on AI for accurate and valid research. The authors highlight the fact that while AI avatars offer new possibilities for social research, particularly in recreating perspectives from the past, significant questions remain about the reliability and authenticity of the data they produce. Ultimately, this research introduces the concept of using VRPs as an emerging tool in social sciences, proposing that AI has the potential to enhance access to previously unreachable data sources. However, further research is needed to address the concerns surrounding the trustworthiness and qualitative value of VRP-driven studies.
Suggested Citation
Download full text from publisher
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:epw:ejeng0:y:2024:id:63237. 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: Support (email available below). General contact details of provider: https://eu-opensci.org/index.php/ejeng .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.