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A-me: augmented memories

Published: 19 November 2013 Publication History

Abstract

A-me is a fictitious memory-evoking apparatus at the intersection of science, art and technology. The system enables users to experience other people's memories as well as store their own by interacting with a volumetric representation (MR) of a human brain. The user retrieves or stores memories (audio traces) by pointing and clicking at precise voxels locations. Triggered by their exploratory action, a story is slowly revealed and recomposed in the form of whispering voices revealing intimate stories. A-me it's a public receptacle for private memories, thus exploring the possibility of a collective physical brain.
The installation introduces an original optical see-through AR setup for neuronavigation capable of overlaying a volume rendered MR scan onto a physical dummy head. Implementing such a system also forced us to address technical questions on quality assessment of AR systems for brain visualization.

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Published In

cover image ACM Conferences
SA '13: SIGGRAPH Asia 2013 Art Gallery
November 2013
50 pages
ISBN:9781450326285
DOI:10.1145/2542256
  • Conference Chair:
  • Mark Chavez
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Publication History

Published: 19 November 2013

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Author Tags

  1. augmented reality
  2. collective experience
  3. memory retrieval
  4. visualization

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SA '13
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SA '13: SIGGRAPH Asia 2013
November 19 - 22, 2013
Hong Kong, Hong Kong

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Overall Acceptance Rate 178 of 869 submissions, 20%

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