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Grant Award View - GA17745
Modelling human perceptual-motor interaction for human-machine...
GA ID:
GA17745
Agency:
Australian Research Council
Approval Date:
2-Aug-2018
Publish Date:
8-Aug-2018
Category:
Humanities, Arts and Social Sciences (HASS) Research
Grant Term:
14-Jan-2019 to 31-Dec-2023
Original: 2-Aug-2018 to 30-Jun-2022
Value (AUD):
$993,643.00
(GST inclusive where applicable)
Variations:
- GA17745-V4 - Variation to Grant (10-May-2022 )
- GA17745-V3 - Variation to Grant (20-Oct-2021 )
- GA17745-V2 - Variation to Grant (2-Aug-2021 )
- GA17745-V1 - Variation to Grant (7-May-2019 )
One-off/Ad hoc:
No
Aggregate Grant Award:
No
PBS Program Name:
ARC 18/19 Discovery
Grant Program:
ARC Future Fellowships
Grant Activity:
Modelling human perceptual-motor interaction for human-machine applications
Purpose:
This project aims to develop a new modelling framework for identifying the perceptual-motor processes that underlie cooperative and competitive human interaction. The project will also determine whether this modelling framework can be combined with modern machine-learning methods to develop artificial agents capable of human level performance. Expected outcomes will include a practical methodology for rapidly generating models of effective human interaction that can be easily implemented in human-machine systems. This will provide a richer understanding of the fundamental perceptual-motor processes that support robust human interaction and enhanced the effectiveness of human-machine collaboration and training technologies.
GO ID:
GO Title:
Future Fellowships commencing in 2018
Internal Reference ID:
FT18 Round 1
Selection Process:
Targeted or Restricted Competitive
Confidentiality - Contract:
No
Confidentiality - Outputs:
No
Grant Recipient Details
Recipient Name:
Macquarie University
Recipient ABN:
90 952 801 237
Grant Recipient Location
Suburb:
MACQUARIE UNIVERSITY
Town/City:
MACQUARIE UNIVERSITY
Postcode:
2109
State/Territory:
NSW
Country:
AUSTRALIA
Grant Delivery Location
State/Territory:
NSW
Postcode:
2109
Country:
AUSTRALIA