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A Comparison of Video Browsing Performance between Desktop and Virtual Reality Interfaces

Spiess, Florian; Gasser, Ralph; Heller, Silvan; Schuldt, Heiko; Rossetto, Luca (2023). A Comparison of Video Browsing Performance between Desktop and Virtual Reality Interfaces. In: 2023 ACM International Conference on Multimedia Retrieval, Thessaloniki, Greece, 12 June 2023 - 15 June 2023. Association for Computing Machinery, 535-539.

Abstract

Interactive retrieval with user-friendly and performant interfaces remains a necessity for video retrieval, even in light of significant gains in retrieval performance through multi-modal encoders. In recent years, novel interaction modalities such as virtual reality (VR) and augmented reality (AR) have gained popularity, but the best way to adapt paradigms from traditional retrieval interfaces, especially for result browsing and interaction, remains an open research question. In this paper, we compare two video retrieval interfaces in a controlled setting to gain insight into the differences in video browsing between VR and desktop interfaces. We formulate hypotheses explaining why there might be performance differences between the two interfaces, define metrics to test the hypotheses, and show results based on data gathered at an evaluation campaign. Our results show that VR interfaces can be competitive in browsing performance and indicate that there can even be an advantage when browsing larger result sets in VR.

Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Informatics
Dewey Decimal Classification:000 Computer science, knowledge & systems
Scopus Subject Areas:Physical Sciences > Human-Computer Interaction
Physical Sciences > Software
Physical Sciences > Computer Graphics and Computer-Aided Design
Scope:Discipline-based scholarship (basic research)
Language:English
Event End Date:15 June 2023
Deposited On:08 Aug 2024 15:06
Last Modified:09 Aug 2024 20:00
Publisher:Association for Computing Machinery
ISBN:9798400701788
OA Status:Hybrid
Publisher DOI:https://doi.org/10.1145/3591106.3592292
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  • Language: English
  • Licence: Creative Commons: Attribution 4.0 International (CC BY 4.0)

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