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AMPLIFY SIGNED

Amplifying Human Perception Through Interactive Digital Technologies

Total Cost €

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EC-Contrib. €

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Partnership

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Project "AMPLIFY" data sheet

The following table provides information about the project.

Coordinator
LUDWIG-MAXIMILIANS-UNIVERSITAET MUENCHEN 

Organization address
address: GESCHWISTER SCHOLL PLATZ 1
city: MUENCHEN
postcode: 80539
website: www.uni-muenchen.de

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Germany [DE]
 Total cost 1˙925˙250 €
 EC max contribution 1˙925˙250 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2015-CoG
 Funding Scheme ERC-COG
 Starting year 2016
 Duration (year-month-day) from 2016-07-01   to  2021-06-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    LUDWIG-MAXIMILIANS-UNIVERSITAET MUENCHEN DE (MUENCHEN) coordinator 1˙267˙750.00
2    UNIVERSITAET STUTTGART DE (STUTTGART) participant 657˙500.00

Map

 Project objective

Current technical sensor systems offer capabilities that are superior to human perception. Cameras can capture a spectrum that is wider than visible light, high-speed cameras can show movements that are invisible to the human eye, and directional microphones can pick up sounds at long distances. The vision of this project is to lay a foundation for the creation of digital technologies that provide novel sensory experiences and new perceptual capabilities for humans that are natural and intuitive to use. In a first step, the project will assess the feasibility of creating artificial human senses that provide new perceptual channels to the human mind, without increasing the experienced cognitive load. A particular focus is on creating intuitive and natural control mechanisms for amplified senses using eye gaze, muscle activity, and brain signals. Through the creation of a prototype that provides mildly unpleasant stimulations in response to perceived information, the feasibility of implementing an artificial reflex will be experimentally explored. The project will quantify the effectiveness of new senses and artificial perceptual aids compared to the baseline of unaugmented perception. The overall objective is to systematically research, explore, and model new means for increasing the human intake of information in order to lay the foundation for new and improved human senses enabled through digital technologies and to enable artificial reflexes. The ground-breaking contributions of this project are (1) to demonstrate the feasibility of reliably implementing amplified senses and new perceptual capabilities, (2) to prove the possibility of creating an artificial reflex, (3) to provide an example implementation of amplified cognition that is empirically validated, and (4) to develop models, concepts, components, and platforms that will enable and ease the creation of interactive systems that measurably increase human perceptual capabilities.

 Publications

year authors and title journal last update
List of publications.
2018 Pascal Knierim, Thomas Kosch, Matthias Hoppe, Albrecht Schmidt
Challenges and Opportunities of Mixed Reality Systems in Education
published pages: 325-330, ISSN: , DOI: 10.18420/muc2018-ws07-0471
Mensch und Computer 2018 - Workshopband 2019-08-29
2017 Albrecht Schmidt, Thomas Herrmann
Intervention user interfaces
published pages: 40-45, ISSN: 1072-5520, DOI: 10.1145/3121357
interactions 24/5 2019-04-18
2016 Stefan Schneegass, Albrecht Schmidt, Max Pfeiffer
Creating user interfaces with electrical muscle stimulation
published pages: 74-77, ISSN: 1072-5520, DOI: 10.1145/3019606
interactions 24/1 2019-04-18
2018 Thomas Kosch, Markus Funk, Albrecht Schmidt, Lewis L. Chuang
Identifying Cognitive Assistance with Mobile Electroencephalography
published pages: 1-20, ISSN: 2573-0142, DOI: 10.1145/3229093
Proceedings of the ACM on Human-Computer Interaction 2/EICS 2019-04-18

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The information about "AMPLIFY" are provided by the European Opendata Portal: CORDIS opendata.

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