mercoledì 31 agosto 2016

# e-tech: human- machine dialog: a step towards

<< Machines are taking over more and more tasks. Ideally, they should also be capable to support the human in case of poor performance. To intervene appropriately, the machine should understand what is going on with the human >>

<< Fraunhofer scientists have developed a diagnostic tool that recognizes user states in real time and communicates them to the machine.>>

<< A key aspect  (..) is that not only the user understands the machine, but that the machine also understands the state of the human. >>

In the model, AA << differentiates between six dimensions of user state that impact human performance: workload, motivation, situation awareness, attention, fatigue and the emotional state. >>

In addition, AA << combines these with external factors such as task, environmental factors, current level of automation and time of day, as well as individual factors—such as the user's experience. >>

Hey human, how are you doing?  Press Release. Man-machine interaction: comprehensive assessment of user states. Research News / 1.8.2016

FonT: idealmente, si potrebbero  miniaturizzare i sensori e, attraverso  compressione algoritmica, adattare il software per far girare il sistema all'interno di un OS per smartwatch /  smartphone, giusto per comodita' d'uso ...

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