Sports involving fast visual perception require players to compensate for delays in neural processing of visual information. Memory for the final position of a moving object is distorted forward along its path of motion (i.e., "representational momentum," RM). This cognitive extrapolation of visual perception might compensate for the neural delay in interacting appropriately with a moving object. The present study examined whether experienced batters cognitively extrapolate the location of a fast-moving object and whether this extrapolation is associated with coincident timing control. Nine expert and nine novice baseball players performed a prediction motion task in which a target moved from one end of a straight 400-cm track at a constant velocity. In half of the trials, vision was suddenly occluded when the target reached the 200-cm point (occlusion condition). Participants had to press a button concurrently with the target arrival at the end of the track and verbally report their subjective assessment of the first target-occluded position. Experts showed larger RM magnitude (cognitive extrapolation) than did novices in the occlusion condition. RM magnitude and timing errors were strongly correlated in the fast velocity condition in both experts and novices, whereas in the slow velocity condition, a significant correlation appeared only in experts. This suggests that experts can cognitively extrapolate the location of a moving object according to their anticipation and, as a result, potentially circumvent neural processing delays. This process might be used to control response timing when interacting with moving objects.
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http://dx.doi.org/10.3758/s13414-014-0818-9 | DOI Listing |
J Exp Psychol Gen
January 2025
Department of Experimental Psychology, Helmholtz Institute, Utrecht University.
Predicting the location of moving objects in noisy environments is essential to everyday behavior, like when participating in traffic. Although many objects provide multisensory information, it remains unknown how humans use multisensory information to localize moving objects, and how this depends on expected sensory interference (e.g.
View Article and Find Full Text PDFInfant Behav Dev
January 2025
Universität zu Köln, Richard Strauss Straße 2, Cologne 50931, Germany.
The study examined the saccadic behavior of 4- to 10-month-old infants when tracking a two-dimensional linear motion of a circle that occasionally bounced off a barrier constituted by the screen edges. It was investigated whether infants could anticipate the angle of the circle's direction after the bounce and the circle's displacement from the location of bounce. Seven bounce types were presented which differed in the angle of incidence.
View Article and Find Full Text PDFSensors (Basel)
January 2025
Department of Industrial Engineering and Mathematical Sciences, Polytechnic University of Marche, 60131 Ancona, Italy.
The acoustic analysis of a moving object, such as in pass-by or fly-over tests, is a very important and demanding issue. These types of analyses make it possible to characterize the machine in quite realistic conditions, but the typical difficulties related to source localization and characterization are usually exacerbated by the need to take into consideration and to compensate for the object movement. In this paper, a technique based on acoustic beamforming is proposed, which is applicable to all those cases where the object under investigation is moving.
View Article and Find Full Text PDFSensors (Basel)
January 2025
Institute of Telecommunications, AGH University of Krakow, al. Mickiewicza 30, 30-059 Krakow, Poland.
In this paper, the idea of a radar based on orthogonal frequency division multiplexing (OFDM) is applied to 5G NR Positioning Reference Signals (PRS). This study demonstrates how the estimation of the communication channel using the PRS can be applied for the identification of objects moving near the 5G NR receiver. In this context, this refers to a 5G NR base station capable of detecting a high-speed train (HST).
View Article and Find Full Text PDFSci Rep
January 2025
Department of Ethology, Eötvös Loránd University, Budapest, Hungary.
Dogs engage in social interactions with robots, yet whether they perceive them as social agents remains uncertain. In jealousy-evoking contexts, specific behaviours were observed exclusively when dogs' owners interacted with social, rather than non-social rivals. Here, we investigated whether a robot elicits jealous behaviour in dogs based on its level of animateness.
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