Information Need in Metaverse Recordings -- A Field Study

TL;DR

Results from a field study aimed at understanding the user information needs and search behaviours specific to MVR retrieval outline existing application scenarios for MVRs, validate the need to capture specific data types in MVR retrieval, and emphasise the importance of user-tailored MVR retrieval systems.

Abstract

Metaverse Recordings (MVRs) represent an emerging and underexplored media type within the field of Multimedia Information Retrieval (MMIR). This paper presents findings from a field study aimed at understanding the users information needs and search behaviors specific to MVR retrieval. By conducting and analyzing expert interviews, the study identifies application scenarios and highlights challenges in retrieving multimedia content from the metaverse. The results reveal existing application scenarios of MVRs and confirm the relevance of capturing time-series data from the graphical rendering process and related input-output devices, which are also highly relevant to user needs. Furthermore, the study provides a foundation for developing retrieval systems tailored to MVRs by defining use cases, user stereotypes, and specific requirements for MVR Retrieval systems. The findings contribute to a better understanding of information search behaviors in MVR Retrieval and pave the way for future research and system design in this field.

Figures (3)

• Figure 1: Recording Options for Metaverse Sessions
• Figure 2: Rendering process
• Figure 3: Classification of MVR components