Abstract
The ability to model and predict Human-Machine Interaction (HMI) with consistent approaches is a crucial aspect of modern technological systems, where the consideration for the presence of humans in control of systems is necessary at design level as well as during production and implementation processes.
A reliable and realistic approach that enables to anticipate what will be “done” at different levels of cognition and behaviour by a human being, enables the prevention of erroneous or risky behaviour, as well the implementation of means of intervention exploiting the power of modern technologies and the decision making skill of humans.
A reliable and realistic approach that enables to anticipate what will be “done” at different levels of cognition and behaviour by a human being, enables the prevention of erroneous or risky behaviour, as well the implementation of means of intervention exploiting the power of modern technologies and the decision making skill of humans.
| Original language | English |
|---|---|
| Title of host publication | Modelling driver behaviour in automotive environments |
| Subtitle of host publication | critical issues in driver interactions with intelligent transport systems |
| Editors | Pietro Cacciabue |
| Place of Publication | London, U.K. |
| Publisher | Springer Nature |
| Pages | 344-375 |
| Number of pages | 32 |
| ISBN (Electronic) | 9781846286186 |
| ISBN (Print) | 9781846286179 |
| DOIs | |
| Publication status | Published - 2007 |
| Externally published | Yes |
Keywords
- fuzzy rule
- task demand
- driver state
- speed profile
- behavioural adaptation
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