Discovery Projects - Grant ID: DP160104195

Funding Activity

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Funded Activity Summary

Probabilistic modeling of human responses in complex interaction. The project aims to develop computational ability to reliably detect and hence act on implicit user preferences. It aims to develop techniques combining advanced non-intrusive sensor measures of conscious and non-conscious behaviour during interaction tasks to enable very high-level computerised support for human goal-seeking in complex data and design environments. It plans to use a user’s physiology and preference evaluation to capture their complex interaction with the data they view, probability models to accumulate information to identify their underlying preferences and extract relationships to find possible ‘hidden variables’ which may help explain and leverage the user's choices.

Funded Activity Details

Start Date: 10-05-2016

End Date: 30-12-2019

Funding Scheme: Discovery Projects

Funding Amount: $315,000.00

Funder: Australian Research Council