scholarly journals Effects of stimulus-response uncertainty on watchkeeping performance and choice reactions

1967 ◽  
Vol 2 (11) ◽  
pp. 511-515 ◽  
Author(s):  
Richard A. Kulp ◽  
Earl A. Alluisi
Keyword(s):  
Response Uncertainty ◽  
Stimulus Response

Visually Guided, Aimed Movements Are Unaffected by Stimulus- Response Uncertainty

2004 ◽  
Author(s):  
Shane A. Belovsky ◽  
Charles E. Wright ◽  
Valerie F. Marino ◽  
Charles Chubb
Keyword(s):  
Visually Guided ◽  
Response Uncertainty ◽  
Stimulus Response

Alcohol Effects on Information Processing Time with an Overlearned Task1

1973 ◽  
Vol 37 (3) ◽  
pp. 835-839 ◽  
Author(s):  
Herbert Moskowitz ◽  
Marcelline Burns
Keyword(s):  
Information Processing ◽  
Processing Time ◽  
Response Uncertainty ◽  
Response Latencies ◽  
Stimulus Response ◽  
Alcohol Impairment ◽  
Alcohol Effects ◽  
Alcohol Treatments

Response latencies in naming visually displayed numbers were measured for 20 Ss under control and alcohol treatments. The size of the stimulus pool was varied by sets of trials to produce stimulus-response uncertainty in the range 0 to 5 bits. Response latencies were a function of the amount of uncertainty, but alcohol impairment was not.

Visually guided, aimed movements can be unaffected by stimulus–response uncertainty

2007 ◽  
Vol 179 (3) ◽  
pp. 475-496 ◽  
Author(s):  
Charles E. Wright ◽  
Valerie F. Marino ◽  
Shane A. Belovsky ◽  
Charles Chubb
Keyword(s):  
Visually Guided ◽  
Response Uncertainty ◽  
Stimulus Response

Smooth pursuit under stimulus–response uncertainty

2004 ◽  
Vol 19 (1) ◽  
pp. 100-102 ◽  
Author(s):  
Marian Berryhill ◽  
Kestutis Kveraga ◽  
Leanne Boucher ◽  
Howard C. Hughes
Keyword(s):  
Smooth Pursuit ◽  
Response Uncertainty ◽  
Stimulus Response

scholarly journals Latency of smooth pursuit under conditions of stimulus-response uncertainty

2010 ◽  
Vol 2 (7) ◽  
pp. 179-179
Author(s):  
M. E. Berryhill ◽  
L. Boucher ◽  
K. Kveraga ◽  
H. C. Hughes
Keyword(s):  
Smooth Pursuit ◽  
Response Uncertainty ◽  
Stimulus Response

Effects of Directional Uncertainty on Visually-Guided Joystick Pointing

2005 ◽  
Vol 100 (1) ◽  
pp. 267-274 ◽  
Author(s):  
Marian Berryhill ◽  
Kestutis Kveraga ◽  
Howard C. Hughes
Keyword(s):  
Eye Movements ◽  
Smooth Pursuit ◽  
Reaction Times ◽  
Oculomotor System ◽  
Step Function ◽  
Response Uncertainty ◽  
Uncertainty Condition ◽  
Stimulus Response ◽  
Hick’S Law ◽  
Choice Reaction Times

Reaction times generally follow the predictions of Hick's law as stimulus-response uncertainty increases, although notable exceptions include the oculomotor system. Saccadic and smooth pursuit eye movement reaction times are independent of stimulus-response uncertainty. Previous research showed that joystick pointing to targets, a motor analog of saccadic eye movements, is only modestly affected by increased stimulus-response uncertainty; however, a no-uncertainty condition (simple reaction time to 1 possible target) was not included. Here, we re-evaluate manual joystick pointing including a no-uncertainty condition. Analysis indicated simple joystick pointing reaction times were significantly faster than choice reaction times. Choice reaction times (2, 4, or 8 possible target locations) only slightly increased as the number of possible targets increased. These data suggest that, as with joystick tracking (a motor analog of smooth pursuit eye movements), joystick pointing is more closely approximated by a simple/choice step function than the log function predicted by Hick's law.

Effects of stimulus-response uncertainty on saccades to near-threshold targets

2005 ◽  
Vol 162 (3) ◽  
pp. 401-405 ◽  
Author(s):  
Kestutis Kveraga ◽  
Howard C. Hughes
Keyword(s):  
Response Uncertainty ◽  
Stimulus Response ◽  
Near Threshold

The Effect of Real-Time Feedback Using a Smartwatch on the Clinical Behavior of Novice Student Clinicians

2017 ◽  
Vol 2 (11) ◽  
pp. 79-90
Author(s):  
Courtney G. Scott ◽  
Trina M. Becker ◽  
Kenneth O. Simpson
Keyword(s):  
Real Time ◽  
Rating Scales ◽  
Qualitative Interviews ◽  
Communication Disorders ◽  
Preliminary Evidence ◽  
Single Subject ◽  
Clinical Behavior ◽  
Stimulus Response ◽  
Treatment Data ◽  
Computer Monitors

The use of computer monitors to provide technology-based written feedback during clinical sessions, referred to as “bug-in-the-eye” (BITi) feedback, recently emerged in the literature with preliminary evidence to support its effectiveness (Carmel, Villatte, Rosenthal, Chalker & Comtois, 2015; Weck et al., 2016). This investigation employed a single-subject, sequential A-B design with two participants to observe the effects of implementing BITi feedback using a smartwatch on the clinical behavior of student clinicians (SCs). Baseline and treatment data on the stimulus-response-consequence (S-R-C) contingency completion rates of SCs were collected using 10 minute segments of recorded therapy sessions. All participants were students enrolled in a clinical practicum experience in a communication disorders and sciences (CDS) program. A celeration line, descriptive statistics, and stability band were used to analyze the data by slope, trend, and variability. Results demonstrated a significant correlative relationship between BITi feedback with a smartwatch and an increase in positive clinical behaviors. Based on qualitative interviews and exit rating scales, SCs reported BITi feedback was noninvasive and minimally distracting. Preliminary evidence suggests BITi feedback with a smartwatch may be an effective tool for providing real-time clinical feedback.

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