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Report . 2026
License: CC BY
Data sources: Datacite
ZENODO
Report . 2026
License: CC BY
Data sources: Datacite
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State of the art on the latest applications for virtual courtrooms (e.g., legal clinics) in the IVR field

Authors: Manghisi, Vito Modesto;

State of the art on the latest applications for virtual courtrooms (e.g., legal clinics) in the IVR field

Abstract

This contribution examines the evaluation methods applied to virtual courtroom environments, with a specific focus on the cognitive, experiential, and normative dimensions of immersive judicial settings. Drawing on the state of the art, the analysis explores key assessment domains including narrative and spatial memory, sense of presence, empathy, user experience, and perceptions of fairness, as well as communication, participation, environmental factors, and authority dynamics. By systematising existing evaluative frameworks, the paper highlights critical methodological challenges and emerging criteria for assessing the impact of virtual courtrooms on judicial practices, procedural legitimacy, and users’ trust. The concluding section synthesises the main considerations arising from the literature, outlining implications for future research and the responsible design of immersive justice systems.

Keywords

Justice, Virtual reality

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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