2021
DOI: 10.1109/toh.2021.3052136
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The Effect of Variability in Stiffness on Perception and Grip Force Adjustment

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Cited by 5 publications
(4 citation statements)
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“…The general effect of uncertainty can also explain why the grip force baseline of the positive stretch session was higher than the grip force baseline of the negative stretch session from the first interaction with the object. This view corroborates the findings of our previous studies that showed that uncertainty caused participants to preserve a high safety margin throughout interactions with objects [27], [49].…”
Section: Discussionsupporting
confidence: 92%
“…The general effect of uncertainty can also explain why the grip force baseline of the positive stretch session was higher than the grip force baseline of the negative stretch session from the first interaction with the object. This view corroborates the findings of our previous studies that showed that uncertainty caused participants to preserve a high safety margin throughout interactions with objects [27], [49].…”
Section: Discussionsupporting
confidence: 92%
“…Therefore, the effect on the grip force may have been present, while the perceptual effect was not. Previous works have demonstrated cases in which large discrepancies between sensory inputs decreases perceptual effects (Kossowsky et al, 2021;Di Luca, 2011). It is possible that due to a potentially very strong effect of the stretch on these two participants, they based their perceptual responses on the force information alone, and therefore did not display increased stiffness perception.…”
Section: Discussionmentioning
confidence: 78%
“…Using the psychometric curves, we computed the Point of Subjective Equality (PSE) and the Just Noticeable Difference (JND) of each curve, as in (Kossowsky et al, 2021Farajian et al, 2020Farajian et al, , 2023Farajian et al, , 2021Leib et al, 2015Leib et al, , 2018Banks and Ernst, 2002) The PSE and JND define the shape of the curve (Wichmann and Hill, 2001). Therefore, to assess the ability of the models to predict the participants' perception, we used the PSE and JND to define several metrics.…”
Section: Discussionmentioning
confidence: 99%
“…According to Ilana Nisky, 2021 Early Career Award winner, robot-assisted surgery can bridge the gap between laboratory-based research and real-life applications. Currently, surgical training is not optimized, partly due to a lack of haptic feedback and partly due to limited knowledge on how to measure surgical skills (4,11,23,30,45,45). Nisky's research used a teleoperated needle driving task and integrated data measuring the dynamics of the robotic manipulandum and modeling human kinematics to describe the quality of surgical skill throughout the learning process.…”
Section: Exploring Complex Motor Skills Beyond Unimanual Reachingmentioning
confidence: 99%