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Cognitive Architectures
Mike Byrne
- Introduction
- What are "cognitive architectures"
- Cognitive Science theories of human cognition
- Instantiated as software programs
- Why are they relevant to HCI
- Vision of "virtual user"
- Short of that vision, ability to make useful predictions about
performance/learnability
- Past use in HCI
- Basis for GOMS and MHP
- CCT and transfer of training
- Other examples
- PUMs
- Analyses of ATMs (CHI'95 workshop)
- Interface exploration (Boulder Cricket Graph stuff)
- Others as space allows
- Recent Architectures
- LICAI
- Kitajima & Polson
- Based on Construction-Integration, cognition as comprehension
- Applications
- EPIC
- Kieras & Meyer (and others, e.g. Hornof)
- Extension and implementation of MHP
- Applications
- Multiple-task performance
- Telephone operators
- Others as space allows
- ACT-R/PM
- Byrne and Anderson (and others)
- Union of ACT cognitive theory with EPIC-like peripherals
- Applications
- ATC-like applications
- Incidental location learning (Ehret thesis)
- Future of Cognitive Architectures in HCI
- Higher fidelity
- More complex tasks
- More problem-solving
- Group tasks (e.g. CSCW)
- Linking to real systems
- CMIMS
- GLEAN
- St. Amant's work
- Other challenges
- Difficult to learn/use
- Limited by the underlying theories (e.g. no emotion)
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