The sensors monitored these and many other factors while four subjects were at work . At

　　random intervals，the subjects rated how interruptible they were on a scale ranging fromhighly

　　interruptibletohighly notinterruptible . Their ratings were then correlated with the various

　　behaviors . It is a shotgunapproach：we used all the indicators we could think of and

　　then let statistics find out which were important， says Hudson

　　The model showed that using the keyboard，and talking on a landline or to someone else in

　　the office correlated most strongly with how interruptible the subjects judged themselves to be.

　　Interestingly，the computer was actually better than people at predicting when someone was

　　too busy to be interrupted . The computer got it right 82 per cent of the time，humans 77 per cent.

　　Fogarty speculates that this might be because people doing the interrupting are inevitably biased

　　towards delivering their message，whereas computers dont care.

　　The first application for Hudson and Fogartys system is likely to be in an instant messaging system，followed by office phones and cellphones.There is no technological roadblock

　　to it being deployed in a couple of years， says Hudson

　　36 A big problem facing people today is that

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