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Grant Award View - GA2401-V1
Continuous intent tracking for virtual assistance using big contextual...
GA ID:
GA2401-V1
Agency:
Australian Research Council
Approval Date:
10-Nov-2017
Variation Publish Date:
16-Jul-2019
Variation Date:
16-Jul-2019
Category:
Science, Technology, Engineering and Mathematics (STEM) Research
Grant Term:
17-May-2018 to 16-May-2021
Value (AUD):
$342,518.00
(GST inclusive where applicable)
Varies:
GA2401
- Continuous intent tracking for virtual assistance using big contextual data
One-off/Ad hoc:
No
Aggregate Grant Award:
No
PBS Program Name:
ARC 17/18 Discovery
Grant Program:
Discovery Projects
Grant Activity:
Continuous intent tracking for virtual assistance using big contextual data
Purpose:
Recently launched Virtual Assistant products such as Amazon Echo and Google Home are commanded by voice and can call apps to do simple tasks like setting timers and playing music. The next-generation virtual assistants will recommend things to be done proactively rather than waiting for commands passively. This project aims to develop algorithms that can predict what a user intends to do and therefore help virtual assistants make recommendations that suit users’ needs accurately. It will benefit many service industry sectors of Australia by enabling virtual assistants to provide services proactively.
Internal Reference ID:
DP18 Round 1
Selection Process:
Targeted or Restricted Competitive
Confidentiality - Contract:
No
Confidentiality - Outputs:
No
Grant Recipient Details
Recipient Name:
The University of Melbourne
Recipient ABN:
84 002 705 224
Grant Recipient Location
Suburb:
UNIVERSITY OF MELBOURNE
Town/City:
UNIVERSITY OF MELBOURNE
Postcode:
3010
State/Territory:
VIC
Country:
AUSTRALIA
Grant Delivery Location
State/Territory:
VIC
Postcode:
3010
Country:
AUSTRALIA