Computer response time measurements of mood, fatigue and symptom scale items: Implications for scale response time uses

1988 ◽  
Vol 4 (2) ◽  
pp. 95-109 ◽  
Author(s):  
David H. Ryman ◽  
Paul Naitoh ◽  
Carl Englund ◽  
S.G. Genser
Author(s):  
Tom Goodman ◽  
Robert Spence

Subjects solved a two-parameter optimization problem using a graphic display with light-pen interaction via either two linear light potentiometers or one planar light potentiometer. Normally distributed computer response times were used, with a mean of 1.0 s and a range of 0.2 to 3.4 s. Three standard deviation values were used: 0.2, 0.4, and 0.8 s. Potentiometer dimensionality affected the extent to which each of the two parameters was searched, but had no significant effect on solution time. System response time variability affected the time taken to solve the problem, and its effect interacted strongly with time of day.


Author(s):  
Barnabás Horváth ◽  
Péter Decsi ◽  
István Szalai

From a technological point of view one of the most important characteristics of magnetorheological fluids and ferrofluids is their fast (on the [Formula: see text] s time scale) response to external magnetic fields. We report response time measurements based on the time domain magnetic susceptibility response of commercially available fluids. The dynamic susceptibility is measured over time in the presence of external magnetic field by a method using an inductive resonant circuit. The response time of the fluids is extracted as the characteristic time constant from the response to ramp excitation. We investigated the influence of the slope of the ramp excitation on the response time. The macroscopic response times were correlated with the characteristic time scales of the microscopic processes behind the susceptibility response. In case of the magnetorheological fluids the overall response time have been associated with the characteristic times of structure formation. The relatively slow response of the ferrofluid corresponded to a relaxation dominated by Brownian mechanism, which indicated the presence of multi-core clusters.


2001 ◽  
Vol 30 (3) ◽  
pp. 159-163 ◽  
Author(s):  
Carsten Spitzer ◽  
Gerit Abraham ◽  
Konrad Reschke ◽  
Harald J. Freyberger
Keyword(s):  

Zusammenfassung. Theoretischer Hintergrund: Bisherige Selbstbeurteilungsinstrumente zur Abbildung posttraumatischer Belastungsstörungen (PTSD) berücksichtigen häufig den Symptomschweregrad nicht; außerdem setzen sie voraus, daß das Trauma bekannt sein muß. Fragestellung: Wir untersuchten die psychometrischen Eigenschaften eines Screeningverfahrens, das unabhängig von einem bekannten Trauma auch die Symptomintensität erfaßt. Methode: Die Modified PTSD Symptom Scale (MPSS) wurde bei 103 stationär psychiatrischen Patienten eingesetzt, die auch mit einem standardisierten Interview (DIA-X) untersucht wurden. Ergebnisse: Die Werte für Cronbachs Alpha lagen zwischen .88 und .94. Die Übereinstimmung zwischen MPSS-Verdachts- und DIA-X-Diagnosen lag zwischen 65% und 82%. Die innere Konsistenz ähnelt denen anderer Verfahren. Schlußfolgerungen: Für den klinischen Kontext erweist sich die MPSS dadurch vorteilhaft, daß sie die PTSD-Symptomatologie unabhängig von einem bekannten Trauma in ihrer Häufigkeit und ihrem Schweregrad erfaßt.


Author(s):  
Roberto Limongi ◽  
Angélica M. Silva

Abstract. The Sternberg short-term memory scanning task has been used to unveil cognitive operations involved in time perception. Participants produce time intervals during the task, and the researcher explores how task performance affects interval production – where time estimation error is the dependent variable of interest. The perspective of predictive behavior regards time estimation error as a temporal prediction error (PE), an independent variable that controls cognition, behavior, and learning. Based on this perspective, we investigated whether temporal PEs affect short-term memory scanning. Participants performed temporal predictions while they maintained information in memory. Model inference revealed that PEs affected memory scanning response time independently of the memory-set size effect. We discuss the results within the context of formal and mechanistic models of short-term memory scanning and predictive coding, a Bayes-based theory of brain function. We state the hypothesis that our finding could be associated with weak frontostriatal connections and weak striatal activity.


2000 ◽  
Author(s):  
Michael Anthony ◽  
Robert W. Fuhrman
Keyword(s):  

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