The role of acceleration and jerk in perception of above-threshold surge motion

Abstract

Inertial motions may be defined in terms of acceleration and jerk, the time-derivative of acceleration. We investigated the relative contributions of these characteristics to the perceived intensity of motions. Participants were seated on a high-fidelity motion platform, and presented with 25 above-threshold 1 s forward (surge) motions that had acceleration values ranging between 0.5 and 2.5 m/s 2 and jerks between 20 and 60 m/s 3 , in five steps each. Participants performed two tasks: a magnitude estimation task, where they provided subjective ratings of motion intensity for each motion, and a two-interval forced choice task, where they provided judgments on which motion of a pair was more intense, for all possible combinations of the above motion profiles. Analysis of the data shows that responses on both tasks may be explained by a single model, and that this model should include acceleration only. The finding that perceived motion intensity depends on acceleration only appears inconsistent with previous findings. We show that this discrepancy can be explained by considering the frequency content of the motions, and demonstrate that a linear time-invariant systems model of the otoliths and subsequent processing can account for the present data as well as for previous findings.

Assessing the contribution of active somatosensory stimulation to self-acceleration perception in dynamic driving simulators

“…Similar to [ 39 ], who used two separate tasks to determine the relative contributions of accelerations and jerk to the perceived intensity of motions, we used (1) a Magnitude Estimation (ME) task to assess accuracy of perception, and (2) a 2-Interval Forced Choice (2IFC) task to assess precision of perception. Both tasks were used in each part of the experiment.…”

Vestibular contribution to path integration deficits in ‘at-genetic-risk’ for Alzheimer’s disease

“…Jerk (m/s 3 ) Average jerk is the time derivative of acceleration [44]. For each axis, a set amount of raw acceleration in a time (0.1, 0.5, 1.0) was summed, and the difference between each interval was calculated to generate the jerk value.…”

Failure to integrate? Investigating multisensory acceleration perception on a cable-robot simulator

“…For these reasons, studies on multisensory and dynamic aspects of acceleration perception have solely been conducted with driving simulator setups. One example of this is a study in which participants had to rate the intensity of different motion profiles varying in velocity, acceleration, and jerk on a hexapod motion simulator 26 -here they found that this intensity is largely determined by acceleration cues. Similarly, in 16 longitudinal acceleration profiles were run on a hexapod simulator for absolute thresholds, yielding thresholds (JND) for acceleration of 4.25% and for jerk of 13.89% for one comparison baseline.…”