The study of social interactions in Massively Multiplayer Online Games (MMOGs) has largely focused on chat communication and speech content analysis. This paper introduces a novel tool designed to analyze social interactions among MMOG players by leveraging Conversation Analysis methodologies to systematically assess multi-party interactions during 6DOF Virtual Reality sessions. The Multiparty Conversation Analysis (MCA) tool can be applied in several MMOG contexts where social analysis is needed. In this demo paper, we present a specific application of the tool focusing on VR MMOG-based therapy for autistic teens.

Demo: Automated Multiparty Conversations Analysis in VR Massive Multiplayer Online Games Environments

Riccardo Calcagno;Elio Salvadori;Oscar Mayora;
2025-01-01

Abstract

The study of social interactions in Massively Multiplayer Online Games (MMOGs) has largely focused on chat communication and speech content analysis. This paper introduces a novel tool designed to analyze social interactions among MMOG players by leveraging Conversation Analysis methodologies to systematically assess multi-party interactions during 6DOF Virtual Reality sessions. The Multiparty Conversation Analysis (MCA) tool can be applied in several MMOG contexts where social analysis is needed. In this demo paper, we present a specific application of the tool focusing on VR MMOG-based therapy for autistic teens.
File in questo prodotto:
File Dimensione Formato  
FBK_IEEE-VR2025_Demo_Paper__Automated_Conversation_Analysis_model.pdf

solo utenti autorizzati

Licenza: NON PUBBLICO - Accesso privato/ristretto
Dimensione 797.63 kB
Formato Adobe PDF
797.63 kB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11582/356907
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
social impact