| EPSRC Reference: |
GR/S15075/01 |
| Title: |
AIBACS: Computational Modelling of Salience Sensitive Control in Humans and in Artificial Systems |
| Principal Investigator: |
Bowman, Professor H |
| Other Investigators: |
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| Researcher Co-Investigators: |
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| Project Partners: |
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| Department: |
Sch of Computing |
| Organisation: |
University of Kent |
| Scheme: |
Standard Research (Pre-FEC) |
| Starts: |
04 July 2003 |
Ends: |
03 July 2006 |
Value (£): |
159,601
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| EPSRC Research Topic Classifications: |
| Biomedical neuroscience |
Cognitive Science Appl. in ICT |
| New & Emerging Comp. Paradigms |
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| EPSRC Industrial Sector Classifications: |
| Information Technologies |
No relevance to Underpinning Sectors |
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| Related Grants: |
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| Panel History: |
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Summary on Grant Application Form |
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Humans are very good at prioritising competing processing demands. In particular, perception of a salient environmental event can interrupt ongoing processing, causing attention, and accompanying processing resources, to be redirected to the new event. It is also clear that emotions, motivation and physiological state in general, play a key role in such prioritisation. In contrast, artificial systems do less well. Firstly, they are often bad at adjusting their processing to salient events, especially when assessing salience is context dependent. Secondly, when interacting with humans, artificial systems fail to fully utilise salience. Traditionally a big hindrance to constructing systems that are sensitive in this respect is that it was not understood how humans adapted their behaviour according to salience. However, through experimental paradigms such as the attentional blink, modern cognitive psychology and neuroscience is starting to clarify the underlying mechanism. In order to realise this potential we will provide concrete computational realisations of the mechanisms being revealed. This will firstly, benefit cognitive psychology and neurosceince and secondly, act as a bridge to the construction of artificial systems. Specifically, we will (1) identify principles from our models in order to inform system construction; (2) use our models to simulate human users in assessing the usability of HCI systems; and (3) investigate the direct construction of systems according to our specifications.
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Key Findings |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Potential use in non-academic contexts |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Impacts |
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| Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
| Summary |
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| Date Materialised |
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Sectors submitted by the Researcher |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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| Project URL: |
http://www.cs.kent.ac.uk/people/staff/hb5/attention.html |
| Further Information: |
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| Organisation Website: |
http://www.kent.ac.uk |