Contributions of delayed visual feedback and cognitive task load to postural dynamics

2010 ◽  
Vol 481 (3) ◽  
pp. 173-177 ◽  
Author(s):  
Ting Ting Yeh ◽  
Jason Boulet ◽  
Tyler Cluff ◽  
Ramesh Balasubramaniam
2020 ◽  
Vol 10 (5) ◽  
pp. 92
Author(s):  
Ramtin Zargari Marandi ◽  
Camilla Ann Fjelsted ◽  
Iris Hrustanovic ◽  
Rikke Dan Olesen ◽  
Parisa Gazerani

The affective dimension of pain contributes to pain perception. Cognitive load may influence pain-related feelings. Eye tracking has proven useful for detecting cognitive load effects objectively by using relevant eye movement characteristics. In this study, we investigated whether eye movement characteristics differ in response to pain-related feelings in the presence of low and high cognitive loads. A set of validated, control, and pain-related sounds were applied to provoke pain-related feelings. Twelve healthy young participants (six females) performed a cognitive task at two load levels, once with the control and once with pain-related sounds in a randomized order. During the tasks, eye movements and task performance were recorded. Afterwards, the participants were asked to fill out questionnaires on their pain perception in response to the applied cognitive loads. Our findings indicate that an increased cognitive load was associated with a decreased saccade peak velocity, saccade frequency, and fixation frequency, as well as an increased fixation duration and pupil dilation range. Among the oculometrics, pain-related feelings were reflected only in the pupillary responses to a low cognitive load. The performance and perceived cognitive load decreased and increased, respectively, with the task load level and were not influenced by the pain-related sounds. Pain-related feelings were lower when performing the task compared with when no task was being performed in an independent group of participants. This might be due to the cognitive engagement during the task. This study demonstrated that cognitive processing could moderate the feelings associated with pain perception.


1996 ◽  
Vol 67 (4) ◽  
pp. 416-423 ◽  
Author(s):  
Heather Carnahan ◽  
Craig Hall ◽  
Timothy D. Lee

2018 ◽  
Vol 21 ◽  
Author(s):  
Leandro da Silva-Sauer ◽  
Luis Valero-Aguayo ◽  
Francisco Velasco-Álvarez ◽  
Álvaro Fernández-Rodríguez ◽  
Ricardo Ron-Angevin

AbstractThis study aimed to propose an adapted feedback using a psychological learning technique based on Skinner’s shaping method to help the users to modulate two cognitive tasks (right-hand motor imagination and relaxed state) and improve better control in a Brain-Computer Interface. In the first experiment, a comparative study between performance in standard feedback (N = 9) and shaping method (N = 10) was conducted. The NASA Task Load Index questionnaire was applied to measure the user’s workload. In the second experiment, a single case study was performed (N = 5) to verify the continuous learning by the shaping method. The first experiment showed significant interaction effect between sessions and group (F(1, 17) = 5.565; p = .031) which the shaping paradigm was applied. A second interaction effect demonstrates a higher performance increase in the relax state task with shaping procedure (F(1, 17) = 5. 038; p = .038). In NASA-TXL an interaction effect was obtained between the group and the cognitive task in Mental Demand (F(1, 17) = 6, 809; p = .018), Performance (F(1, 17) = 5, 725; p = .029), and Frustration (F(1, 17) = 9, 735; p = .006), no significance was found in Effort. In the second experiment, a trial-by-trial analysis shows an ascendant trend learning curve for the cognitive task with the lowest initial acquisition (relax state). The results suggest the effectiveness of the shaping procedure to modulate brain rhythms, improving mainly the cognitive task with greater initial difficulty and provide better interaction perception.


1990 ◽  
Vol 110 (2) ◽  
pp. 228-235 ◽  
Author(s):  
A. Beuter ◽  
J.G. Milton ◽  
C. Labrie ◽  
L. Glass ◽  
S. Gauthier

Author(s):  
Wim van Winsum

Objective: The independent effects of cognitive and visual load on visual Detection Response Task (vDRT) reaction times were studied in a driving simulator by performing a backwards counting task and a simple driving task that required continuous focused visual attention to the forward view of the road. The study aimed to unravel the attentional processes underlying the Detection Response Task effects. Background: The claim of previous studies that performance degradation on the vDRT is due to a general interference instead of visual tunneling was challenged in this experiment. Method: vDRT stimulus eccentricity and stimulus conspicuity were applied as within-subject factors. Results: Increased cognitive load and visual load both resulted in increased response times (RTs) on the vDRT. Cognitive load increased RT but revealed no task by stimulus eccentricity interaction. However, effects of visual load on RT showed a strong task by stimulus eccentricity interaction under conditions of low stimulus conspicuity. Also, more experienced drivers performed better on the vDRT while driving. Conclusion: This was seen as evidence for a differential effect of cognitive and visual workload. The results supported the tunnel vision model for visual workload, where the sensitivity of the peripheral visual field reduced as a function of visual load. However, the results supported the general interference model for cognitive workload. Application: This has implications for the diagnosticity of the vDRT: The pattern of results differentiated between visual task load and cognitive task load. It also has implications for theory development and workload measurement for different types of tasks.


Stroke ◽  
2021 ◽  
Vol 52 (Suppl_1) ◽  
Author(s):  
Hogene Kim ◽  
Hyunjong Lee ◽  
Kwon Ilho

Objectives: This study investigated cognitive-motor interference on the relationship of speed and accuracy during a cognitive and upper-limb motor dual task. Method: Nine stroke patients (56.5±7.3 years; M:9) participated in a series of cognitive-motor dual tasks. A subject with chronic stroke was seated with paretic hand fastened on the handle and then one of five motor tasks was provided (Figure 1A). Visual feedback in a front screen was synchronized as the handle cursor moves within the movement trajectory with two difficulty levels (5cm or 10cm). In a dual task, a cognitive task, Serial Seven(S7), was concurrently provided with a randomly chosen number at the onset of the motor task by a test administrator.Figure 1 Cognitive-Motor dual task setup (left up) and trajectory shapes (Diagonoal; Mediolateral; Anteroposterior; Cross; Circle) and level of difficulties (Easy 10cm or Hard 5cm) in motor tasks. The motor speed and accuracy and the cognitive speed and accuracy were evaluated during one-minute trial time. Pearson-correlation coefficients evaluated outcome relationship of the speed and accuracy in single or cognitive-motor dual tasks with the significance level 0.05 using a commercial statistics package (SPSS ver 22, Chicago IL,US). Results: There were significant positive correlation between single and dual motor speeds ( Easy :R 2 =0.678,p<0.001; Hard : R 2 =0.714,p<0.001) and significant negative correlationbetween single motor speed and dual cognitive speed ( Easy : R 2 =0.661,p<0.001; Hard :R 2 =0.6523,p<0.001) (Figure 1B) Conclusions: There were significant correlations between the upper-limb horizontal movements with visual feedback and S7 cognitive task. This study may provide useful information on upper-limb motor robotic therapies using 2D horizontal upper-limb movements.


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