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Quantum Machine Learning Entanglement Theory Quantum Correlations

EntangleVR++: evaluating the potential of using entanglement in an interactive VR scene creation system

DOAJ
Authors: Mengyu Chen, Marko Peljhan, Misha Sra, Misha Sra

Year

2023

Paper ID

38764

Status

Peer-reviewed

Abstract Read

~2 min

Abstract Words

210

Citations

2

Abstract

Interactive digital stories provide a sense of flexibility and freedom to players by allowing them to make choices at key junctions. These choices advance the narrative and determine, to some degree, how the story evolves for that player. As shown in prior work, the ability to control or participate in the construction of the narrative can give the player a high level of agency that results in a stronger sense of immersion in the narrative experience. To support the design of this type of interactive storytelling, our system, EntangleVR++, borrows the idea of entanglement from quantum computing. Our use of entanglement allows creators and storytellers control over which sequences of story events take place in correlation with each other, initiated by the choices a player makes. In this work, we evaluated how well our idea of entanglement enables creators to easily and quickly design interactive Virtual reality narratives. We asked 16 participants to use our system and based on user interviews, analyses of screen recordings, and questionnaire feedback, we extracted four themes. From these themes and the study overall, we derived four authoring strategies for tool designers interested in the design of future visual interface for interactively creating virtual scenes that include relational objects and multiple outcomes driven by player interactions.

Why This Paper Matters

  • This paper contributes to the Quantum Machine Learning research area in the Quantum Articles archive.
  • It adds a 2023 reference point for readers tracking recent quantum research.
  • Interactive digital stories provide a sense of flexibility and freedom to players by allowing them to make choices at key junctions.

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