Assembling Engagement With Autonomy and Language - A Neuroscientific Case Study With Digital Companions
(A2026-131668)

AUTHORS

Aitor Ezker-Galech, Public University of Navarre (UPNA); Raquel Chocarro, Public University of Navarre; Monica Cortinas, Public University of Navarre; �lvaro Saavedra, Public University of Navarre

ABSTRACT

Understanding human engagement with empathic Generative AI (GenAI) digital companions (DC) is increasingly vital as they take on social and emotional roles in daily life. Motivated by the rapid adoption of DC technologies and their potential to reshape human–AI relationships, the study applies Assemblage Theory to explore DC within broader socio-material systems. Through a mixed-methods design, 40 participants interacted with a realistic avatar while biometric and qualitative data were collected to map engagement dynamics. Results show that greater user autonomy and participatory linguistic styles significantly enhance engagement, whereas authoritative language reduces it. Findings show how context, agency, and language shape human-AI bonds, emphasizing the importance of designing DC that empower users and create authentic connection. This research advances theoretical and practical insight into devices poised to transform future social interactions.