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The Effect of Road Bumps on Touch Interaction in Cars
{Touchscreens are a common fixture in current vehicles. With autonomous driving, we can expect touch interaction with such in-vehicle media systems to exponentially increase. In spite of vehicle suspension systems, road perturbations will continue to exert forces that can render in-vehicle touch interaction challenging. Using a motion simulator, we investigate how different vehicle speeds interact with road features (i.e., speed bumps) to influence touch interaction. We determine their effect on pointing accuracy and task completion time. We show that road bumps have a significant effect on touch input and can decrease accuracy by 19\textpercent. In light of this, we developed a Random Forest (RF) model that improves touch accuracy by 32.0\textpercent on our test set and by 22.5\textpercent on our validation set. As the lightweight model uses only features that can easily be determined through inertial measurement units, this model could be easily deployed in current automobiles.}
@inproceedings{item_2643114, title = {{The Effect of Road Bumps on Touch Interaction in Cars}}, booktitle = {{AutomotiveUI \textquotesingle18: Proceedings of the 10th International Conference on Automotive User Interfaces and Interactive Vehicular Applications}}, abstract = {{Touchscreens are a common fixture in current vehicles. With autonomous driving, we can expect touch interaction with such in-vehicle media systems to exponentially increase. In spite of vehicle suspension systems, road perturbations will continue to exert forces that can render in-vehicle touch interaction challenging. Using a motion simulator, we investigate how different vehicle speeds interact with road features (i.e., speed bumps) to influence touch interaction. We determine their effect on pointing accuracy and task completion time. We show that road bumps have a significant effect on touch input and can decrease accuracy by 19\textpercent. In light of this, we developed a Random Forest (RF) model that improves touch accuracy by 32.0\textpercent on our test set and by 22.5\textpercent on our validation set. As the lightweight model uses only features that can easily be determined through inertial measurement units, this model could be easily deployed in current automobiles.}}, pages = {85--93}, publisher = {ACM Press}, address = {Toronto, ON, Canada}, year = {2018}, slug = {item_2643114}, author = {Mayer, S and Le, HV and Nesti, A and Henze, N and B\"ulthoff, HH and Chuang, LL} }