PT  - JOURNAL ARTICLE
AU  - Kreyenmeier, Philipp
AU  - Kämmer, Luca
AU  - Fooken, Jolande
AU  - Spering, Miriam
TI  - Humans Can Track But Fail to Predict Accelerating Objects
AID  - 10.1523/ENEURO.0185-22.2022
DP  - 2022 Sep 01
TA  - eneuro
PG  - ENEURO.0185-22.2022
VI  - 9
IP  - 5
4099  - http://www.eneuro.org/content/9/5/ENEURO.0185-22.2022.short
4100  - http://www.eneuro.org/content/9/5/ENEURO.0185-22.2022.full
SO  - eNeuro2022 Sep 01; 9
AB  - Objects in our visual environment often move unpredictably and can suddenly speed up or slow down. The ability to account for acceleration when interacting with moving objects can be critical for survival. Here, we investigate how human observers track an accelerating target with their eyes and predict its time of reappearance after a temporal occlusion by making an interceptive hand movement. Before occlusion, observers smoothly tracked the accelerating target with their eyes. At the time of occlusion, observers made a predictive saccade to the location where they subsequently intercepted the target with a quick pointing movement. We tested how observers integrated target motion information by comparing three alternative models that describe time-to-contact (TTC) based on the (1) final target velocity sample before occlusion, (2) average target velocity before occlusion, or (3) final target velocity and the rate of target acceleration. We show that observers were able to accurately track the accelerating target with visually-guided smooth pursuit eye movements. However, the timing of the predictive saccade and manual interception revealed inability to act on target acceleration when predicting TTC. Instead, interception timing was best described by the final velocity model that relies on extrapolating the last available target velocity sample before occlusion. Moreover, predictive saccades and manual interception showed similar insensitivity to target acceleration and were correlated on a trial-by-trial basis. These findings provide compelling evidence for the failure of integrating target acceleration into predictive models of target motion that drive both interceptive eye and hand movements.