TY - GEN
T1 - The effect of road bumps on touch interaction in cars
AU - Mayer, Sven
AU - Le, Huy Viet
AU - Nesti, Alessandro
AU - Henze, Niels
AU - Bülthoff, Heinrich H.
AU - Chuang, Lewis L.
N1 - Funding Information:
This work is financially supported by the German Research Foundation (DFG) within Cluster of Excellence in Simulation Technology (EXC 310/2) at the University of Stuttgart and the MWK Baden-Württemberg within the Juniorprofessuren-Programm. Further, this work was supported by funds from the Max Planck Society and by the DFG within project C03 and C04 of SFB/Transregio 161.
Publisher Copyright:
© 2018 ACM.
PY - 2018/9/23
Y1 - 2018/9/23
N2 - 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%. In light of this, we developed a Random Forest (RF) model that improves touch accuracy by 32.0% on our test set and by 22.5% 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.
AB - 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%. In light of this, we developed a Random Forest (RF) model that improves touch accuracy by 32.0% on our test set and by 22.5% 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.
KW - Car
KW - Center console
KW - In-vehicle touchscreens
KW - Offset correction model
KW - On board entertainment system
KW - Touch accuracy
UR - http://www.scopus.com/inward/record.url?scp=85056004035&partnerID=8YFLogxK
U2 - 10.1145/3239060.3239071
DO - 10.1145/3239060.3239071
M3 - Conference contribution
AN - SCOPUS:85056004035
T3 - Proceedings - 10th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2018
SP - 85
EP - 93
BT - Proceedings - 10th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2018
PB - Association for Computing Machinery, Inc
T2 - 10th ACM International Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2018
Y2 - 23 September 2018 through 25 September 2018
ER -