Exploring time interval estimation for familiar and unfamiliar musical pieces

2021 ◽  
Author(s):  
Anastasiya Paltarzhitskaya ◽  
Daria Kleeva ◽  
Maria Osadchaya ◽  
Mikhail Lebedev ◽  
Andriy Myachykov ◽  
...  
Keyword(s):  
Interval Estimation ◽  
Time Interval

Time Estimation Performance Before, during and after Physical Activity

1988 ◽  
Vol 32 (15) ◽  
pp. 985-989 ◽  
Author(s):  
T. Mihaly ◽  
P.A. Hancock ◽  
M. Vercruyssen ◽  
M. Rahimi
Keyword(s):  
Interval Estimation ◽  
Time Estimation ◽  
Cycle Ergometer ◽  
Estimation Accuracy ◽  
Physical Work ◽  
Time Interval ◽  
Individual Subject ◽  
Knowledge Of Results ◽  
The Individual ◽  
Experimental Findings

An experiment is reported which evaluated performance on a 10-sec time interval estimation task before, during and after physical work on cycle ergometer at intensities of 30 and 60% VO2max, as scaled to the individual subject. Results from the eleven subjects tested indicate a significant increase in variability of estimates during exercise compared to non-exercise phases. Such a trend was also seen in the mean of estimates, where subjects significantly underestimated the target interval (10 seconds) during exercise. Subjects also performed more accurately with information feedback than without knowledge of results, but they were still not able to overcome the effects of exercise. As suggested by the experimental findings, decreased estimation accuracy and increased variability can be expected during physical work and is part of a body of evidence which indicates that exercise and its severity has a substantive impact on perceptual and cognitive performance.

scholarly journals Time-Interval Estimation Training Modulate Motor Behavior and Cerebral Cortex Activity in Parkinson Disease Patients: Preliminary Study

2019 ◽  
Vol 09 (01) ◽  
Author(s):  
Francisco Magalhaes ◽  
Victor Marinho ◽  
Carla Ayre ◽  
Kaline Rocha ◽  
Silmar Teixeira ◽  
...  
Keyword(s):  
Cerebral Cortex ◽  
Parkinson Disease ◽  
Motor Behavior ◽  
Interval Estimation ◽  
Time Interval ◽  
Preliminary Study

One-minute time interval estimation as a novel potent indicator of emotional concerns in cancer patients prior to starting chemotherapy

2019 ◽  
Author(s):  
Ivan Shterev Donev ◽  
Dragomir Svetozarov Stoyanov ◽  
Teodorika Vitalinova Panayotova ◽  
Martina Stoyanova Ivanova ◽  
Yavor Kostadinov Kashlov ◽  
...  
Keyword(s):  
Cancer Patients ◽  
Interval Estimation ◽  
Time Interval

scholarly journals Postmortem Interval Estimation Time from Algormortis Temperature of Rats Expressed by MARS Model Approach

2017 ◽  
Vol 3 (6) ◽  
pp. 404
Author(s):  
Dwi M. Syabani ◽  
Hana Eliyani ◽  
Suharsono Suharsono ◽  
Fedik A. Rantam ◽  
Anwar Ma’ruf
Keyword(s):  
Room Temperature ◽  
Interval Estimation ◽  
Postmortem Interval ◽  
Performance Model ◽  
Male Rats ◽  
Time Interval ◽  
Function Model ◽  
Mars Model ◽  
Ambient Room Temperature ◽  
Conditioning Room

Estimation of Postmortem is one of the challenges in forensic science. The aim of this study was to construct a  MARS  model of  Postmortem interval  estimation time (PMT)  from  algor mortis temperature in Rat. Sixteen healthy male rats (Rattus norvegicus), onemonth old and weigh 100 gram were randomly divided into two groups (eight/each group) and were acclimated respectively among the ambient room (temperature over 28ºC) and at the conditioning room (temperature over 20ºC). The animals then were sacrificed in two days (four rats/day  for each divided room) then algor mortis by rectal temperature  were recorded after death at 0 and 2,4,6,8, 10,12, 14,16, 18,20 till 22 h respectively. The MARS model is nonlinear regression but performed as a multilinier curve that can have splines fitting and be defined as function model Y = 35.321 + 1.253 * BF1 + 0.436 * BF2 - 1.319 * BF3; and on 20ºC condition room as Y = 29.980 + 1.354 * BF1 + 0.799 * BF2 - 1.347 * BF3. Therefore,  performance model was comprised by multilinier  curve, then function model of  algor mortis on ambient  room be defined into three PMT intervals i.e: 1)Y=37,94 -0.11*(0-2h)  (p>0.00); 2) Y = 40.88 - 1.87* (2-6h) ( p<0.00) and 3) Y=30.82-0.09*(6-22h)  (p<0.00)  while on 20ºC condition room, was : 1)Y = 34.78-0.09* (0-2h) (p<0.00) ; 2) Y = 37.97-2.38* (2-6h) (p<0.00) and  3)Y = 25.36-0.04* 6-22 h (p>0.00). The acceleration of the declining algor mortis at conditioning room showed steeper than on ambient room at 2-6h PMT interval   (ß : 2,38 vs  1,87). Postmortem Time Interval Estimation from  Algormortis Temperature of Rats could be expressed by MARS Model. The pattern model of estimation comprised by multilinear curve with splines was fitted at both of the experimental rooms.Keywords : Postmortem time interval, algor mortis, MARS model estimation

scholarly journals The developmental profile of temporal binding: From childhood to adulthood

2020 ◽  
Vol 73 (10) ◽  
pp. 1575-1586
Author(s):  
Sara Lorimer ◽  
Teresa McCormack ◽  
Emma Blakey ◽  
David A Lagnado ◽  
Christoph Hoerl ◽  
...  
Keyword(s):  
Interval Estimation ◽  
Button Press ◽  
Time Interval ◽  
Developmental Profile ◽  
Estimation Task ◽  
Temporal Binding ◽  
Rocket Launch ◽  
Binding Effect ◽  
Adults And Children ◽  
Age Estimates

Temporal binding refers to a phenomenon whereby the time interval between a cause and its effect is perceived as shorter than the same interval separating two unrelated events. We examined the developmental profile of this phenomenon by comparing the performance of groups of children (aged 6–7, 7–8, and 9–10 years) and adults on a novel interval estimation task. In Experiment 1, participants made judgements about the time interval between (a) their button press and a rocket launch, and (b) a non-causal predictive signal and rocket launch. In Experiment 2, an additional causal condition was included in which participants made judgements about the interval between an experimenter’s button press and the launch of a rocket. Temporal binding was demonstrated consistently and did not change in magnitude with age: estimates of delay were shorter in causal contexts for both adults and children. In addition, the magnitude of the binding effect was greater when participants themselves were the cause of an outcome compared with when they were mere spectators. This suggests that although causality underlies the binding effect, intentional action may modulate its magnitude. Again, this was true of both adults and children. Taken together, these results are the first to suggest that the binding effect is present and developmentally constant from childhood into adulthood.

Information-Processing Characteristics of Explicit Time Estimation by Patients with Schizophrenia and Normal Controls

1998 ◽  
Vol 86 (2) ◽  
pp. 515-526 ◽  
Author(s):  
Joseph I. Tracy ◽  
Catherine Monaco ◽  
Heidi McMichael ◽  
Karen Tyson ◽  
Cathy Chambliss ◽  
...  
Keyword(s):  
Working Memory ◽  
Information Processing ◽  
Oral Reading ◽  
Dual Task ◽  
Interval Estimation ◽  
Time Estimation ◽  
Chronic Schizophrenia ◽  
Estimation Accuracy ◽  
Time Interval ◽  
Normal Controls

The information-processing characteristics of time estimation have not been well-documented. This research investigated explicit time estimation to test whether (1) it can occur “automatically” and (2) the cognitive function generally known as “working memory” predicts accuracy of time estimation. Data on two tasks requiring explicit time judgement (time interval estimation and production) are reported for a sample of 43 normal, healthy controls and 19 inpatients with chronic schizophrenia. Each task was given in a standard (passing time interval is unfilled) and dual-task format (interval is filled by oral reading). Multivariate analysis of variance suggested that for both patients' and the normal controls' time estimation accuracy was (1) highly sensitive to whether a passing interval was filled with a concurrent activity such as reading and (2) predictable on the basis of age, education, and working memory skills. Also, the effect of the dual-task manipulation did vary as a function of psychosis for the Time Interval Production task. The data suggest that procedures for explicit time judgements do not occur automatically and utilize controlled processes such as working memory.

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