Determinants of psychophysical detection thresholds for young adults on a horizontally translated platform

Sparto, P.J.; Robinson, Charles J.; Faulkner, Lawrence W.

doi:10.1109/iembs.1998.744804

Cited by 3 publications

(3 citation statements)

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“…Prieto, Myklebust, Hoffmann, Lovett, and Myklebust [27] reported a difference of sway between young adults and older adults. Sparto, Robinson, and Faulkner [28] found a low detection threshold for young adults. The result of this study may support the relationship between postural steadiness and detection of perturbation.…”

Section: Discussionmentioning

confidence: 96%

Effects of Diabetic Neuropathy on Body Sway and Slip Perturbation Detection in Older Population

Kim

Robinson

2006

International Journal of Occupational Safety and Ergonomics

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Section: Discussionmentioning

confidence: 96%

Effects of Diabetic Neuropathy on Body Sway and Slip Perturbation Detection in Older Population

Kim

Robinson

2006

International Journal of Occupational Safety and Ergonomics

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“…In this protocol, the subject sequentially received the commands "Ready", "One", "Two," and "Decide", at the start of intervals of 3 to 6 s each, with a stimulus either in interval One or Two [15-18]. After the word "Decide", the subject pressed a telemetered doorbell button once or twice to signal in which interval he/she felt that the stimulus occurred.…”

Section: Methodsmentioning

confidence: 99%

“…We determined psychophysical threshold by using a 2-Alternative-Forced-Choice (2AFC) protocol in which the subjects were required (i.e., "forced") to choose in which one of two sequential intervals that they perceived the presented perturbation. In this protocol, the subject sequentially received the commands "Ready", "One", "Two," and "Decide", at the start of intervals of 3 to 6 s each, with a stimulus either in interval One or Two [ 15 - 18 ]. After the word "Decide", the subject pressed a telemetered doorbell button once or twice to signal in which interval he/she felt that the stimulus occurred.…”

Section: Methodsmentioning

confidence: 99%

Categorizing and comparing psychophysical detection strategies based on biomechanical responses to short postural perturbations

et al. 2010

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BackgroundA fundamental unsolved problem in psychophysical detection experiments is in discriminating guesses from the correct responses. This paper proposes a coherent solution to this problem by presenting a novel classification method that compares biomechanical and psychological responses.MethodsSubjects (13) stood on a platform that was translated anteriorly 16 mm to find psychophysical detection thresholds through a Adaptive 2-Alternative-Forced-Choice (2AFC) task repeated over 30 separate sequential trials. Anterior-posterior center-of-pressure (APCoP) changes (i.e., the biomechanical response RB) were analyzed to determine whether sufficient biomechanical information was available to support a subject's psychophysical selection (RΨ) of interval 1 or 2 as the stimulus interval. A time-series-bitmap approach was used to identify anomalies in interval 1 (a1) and interval 2 (a2) that were present in the resultant APCoP signal. If a1 > a2 then RB = Interval 1. If a1 < a2, then RB= Interval 2. If a2 - a1 < 0.1, RB was set to 0 (no significant difference present in the anomaly scores of interval 1 and 2).ResultsBy considering both biomechanical (RB) and psychophysical (RΨ) responses, each trial run could be classified as a: 1) HIT (and True Negative), if RB and RΨ both matched the stimulus interval (SI); 2) MISS, if RB matched SI but the subject's reported response did not; 3) PSUEDO HIT, if the subject signalled the correct SI, but RB was linked to the non-SI; 4) FALSE POSITIVE, if RB = RΨ, and both associated to non-SI; and 5) GUESS, if RB = 0, if insufficient APCoP differences existed to distinguish SI. Ensemble averaging the data for each of the above categories amplified the anomalous behavior of the APCoP response.ConclusionsThe major contributions of this novel classification scheme were to define and verify by logistic models a 'GUESS' category in these psychophysical threshold detection experiments, and to add an additional descriptor, "PSEUDO HIT". This improved classification methodology potentially could be applied to psychophysical detection experiments of other sensory modalities.

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Acceleration threshold detection during short anterior and posterior perturbations on a translating platform

et al. 2003

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Determinants of psychophysical detection thresholds for young adults on a horizontally translated platform

Cited by 3 publications

References 5 publications

Effects of Diabetic Neuropathy on Body Sway and Slip Perturbation Detection in Older Population

Effects of Diabetic Neuropathy on Body Sway and Slip Perturbation Detection in Older Population

Categorizing and comparing psychophysical detection strategies based on biomechanical responses to short postural perturbations

Acceleration threshold detection during short anterior and posterior perturbations on a translating platform

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