scholarly journals Design of an Adaptive Human-Machine System Based on Dynamical Pattern Recognition of Cognitive Task-Load

2017 ◽  
Vol 11 ◽  
Author(s):  
Jianhua Zhang ◽  
Zhong Yin ◽  
Rubin Wang
Keyword(s):  
Pattern Recognition ◽  
Cognitive Task ◽  
Machine System ◽  
Task Load ◽  
Dynamical Pattern

scholarly journals Eye Movements in Response to Pain-Related Feelings in the Presence of Low and High Cognitive Loads

2020 ◽  
Vol 10 (5) ◽  
pp. 92
Author(s):  
Ramtin Zargari Marandi ◽  
Camilla Ann Fjelsted ◽  
Iris Hrustanovic ◽  
Rikke Dan Olesen ◽  
Parisa Gazerani
Keyword(s):  
Eye Movements ◽  
Cognitive Load ◽  
Eye Movement ◽  
Cognitive Processing ◽  
Pain Perception ◽  
Cognitive Task ◽  
Load Level ◽  
Task Load ◽  
Pupillary Responses ◽  
Movement Characteristics

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.

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
Keyword(s):  
Visual Feedback ◽  
Cognitive Task ◽  
Task Load ◽  
Delayed Visual Feedback

A Shaping Procedure to Modulate Two Cognitive Tasks to Improve a Sensorimotor Rhythm-Based Brain-Computer Interface System

2018 ◽  
Vol 21 ◽  
Author(s):  
Leandro da Silva-Sauer ◽  
Luis Valero-Aguayo ◽  
Francisco Velasco-Álvarez ◽  
Álvaro Fernández-Rodríguez ◽  
Ricardo Ron-Angevin
Keyword(s):  
Interaction Effect ◽  
Single Case ◽  
Brain Computer Interface ◽  
Cognitive Task ◽  
Computer Interface ◽  
Cognitive Tasks ◽  
Significant Interaction Effect ◽  
Task Load ◽  
Mental Demand ◽  
Shaping Procedure

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.

The Effects of Cognitive and Visual Workload on Peripheral Detection in the Detection Response Task

2018 ◽  
Vol 60 (6) ◽  
pp. 855-869 ◽  
Author(s):  
Wim van Winsum
Keyword(s):  
Cognitive Load ◽  
Driving Simulator ◽  
Response Times ◽  
Cognitive Task ◽  
Theory Development ◽  
Reaction Times ◽  
Task Load ◽  
Detection Response ◽  
Response Task ◽  
Stimulus Eccentricity

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.

Identification and Assessment of Mental Tasks Using Task Flowcharts

2017 ◽  
pp. 1-19
Author(s):  
Juan Luis Hernández-Arellano ◽  
J. Nieves Serratos-Perez ◽  
Aide Aracely Maldonado Macías
Keyword(s):  
Cognitive Task ◽  
Structured Interview ◽  
Mental Task ◽  
Cognitive Effect ◽  
Load Model ◽  
Task Load ◽  
Study Case ◽  
Industrial Environments ◽  
Ergonomic Evaluation ◽  
Mental Tasks

Traditional methods for ergonomic evaluation do not consider the identification and assessment of mental tasks. This chapter proposes a method for the Identification and Assessment of Mental Tasks (IAMT) through the development of task flowcharts. Using a semi structured interview and a task flowchart, the mental tasks are identified and described. Applying the Cognitive Task Load Model (CTLM), a cognitive effect is assigned to every mental task identified. A theoretical/common example and a study case were developed to exemplify the proposed method. IAMT method was developed to be useful mainly in industrial environments; however, IAMT should be applied in different work contexts and environments.

Sign in / Sign up

Export Citation Format

Share Document