Evaluating distraction of in-vehicle information systems while driving by predicting total eyes-off-road times with keystroke level modeling

The first study involved the operation of an IVIS by N = 18 participants. The results suggest a good model fit (R2Adj. = 0.67) for predicting the TEORT, relying on regressors from KLM and participant age. Using the parameter estimates from study 1, the predictive validity of the model was successfully tested during a second study with N = 14 participants using a version of the IVIS prototype with a revised design and task structure (rPred.-Obs. = 0.58). Possible applications and shortcomings of the approach are discussed.