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https://doi.org/10.1145/357094...
Article . 2023 . Peer-reviewed
License: CC BY
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Conference object . 2023
License: CC BY
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Sushi with Einstein

Enhancing Hybrid Live Events with LLM-Based Virtual Humans
Authors: Alon Shoa; Ramon Oliva; Mel Slater; Doron Friedman;

Sushi with Einstein

Abstract

It is becoming increasingly easier to set up multi-user virtual reality sessions, and these can become viable alternatives to video conference in events such as international conferences. Moreover, it is possible to enhance such events with automated virtual humans, who may participate in the discussion. This paper presents the behind-the-scenes work of a panel session titled “Is virtual reality genuine reality?”, which was held during a physical symposium, "XR for the people," in June 2022. The panel featured a virtual Albert Einstein, based on a large language model (LLM), as a panelist, alongside three international experts having a live conference panel discussion. The VR discussion was broadcast live on stage, and a moderator was able to communicate with both the live audience, the virtual world participants, and the virtual agent (Einstein). We provide lessons learned from the implementation and from the live production, and discuss the potential and pitfalls of using LLM-based virtual humans for multi-user VR in live hybrid events.

Keywords

VR, GPT3, AI, Persona Reconstruction

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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!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
27
Top 10%
Top 10%
Top 10%
7
6
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hybrid