scholarly journals Utilizing EEG to Explore Design Fixation during Creative Idea Generation

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Juan Cao ◽  
Wu Zhao ◽  
Xin Guo
Keyword(s):  
Brain Activity ◽  
Activity Patterns ◽  
Idea Generation ◽  
Lower Solution ◽  
Alpha Power ◽  
Design Fixation ◽  
Creative Idea ◽  
Neural Activities ◽  
Fixation Group ◽  
Comparison Results

Design fixation is related to the broad phenomenon of unconscious cognition bias that hinders the generation of creative solutions during the conceptual design process. While numerous research studies have gone into the study of design fixation, the experimental methods used were external to the cognitive process of designers; thus, there are some limitations. To address these limitations, the present study utilized electroencephalography (EEG) to explore the differences in neural activities between designers with different degrees of design fixation during creative idea generation. Fluency, flexibility, and the degree of copying were used to evaluate the design performance and fixation degrees of all participants; for the follow-up analyses on brain activity patterns, participants were then divided into the Higher Fixation Group and the Lower Fixation Group according to the evaluation of the degrees of copying. Next, participants in each group were contrasted separately against the task-related alpha power changes during creative idea generation. The comparison results revealed that participants with lower design fixation demonstrated stronger alpha synchronization in frontal, parietotemporal, and occipital regions during creative idea generation, while participants with higher design fixation showed stronger task-related alpha desynchronization in frontal, centroparietal, and parietotemporal regions. Such findings suggested that participants with higher fixation showed lower solution flexibility because of the inability to inhibit the solutions generated overrelying on intuition. These results could contribute to a deeper understanding of design fixation from the neuroscience perspective and provide essential theoretical supports for the subsequent defixation methods and tool development.

scholarly journals Differences in brain activity patterns during creative idea generation between eminent and non-eminent thinkers

NeuroImage ◽  
2020 ◽  
Vol 220 ◽  
pp. 117011
Author(s):  
Evangelia G. Chrysikou ◽  
Constanza Jacial ◽  
David B. Yaden ◽  
Wessel van Dam ◽  
Scott Barry Kaufman ◽  
...  
Keyword(s):  
Brain Activity ◽  
Activity Patterns ◽  
Idea Generation ◽  
Creative Idea

Utilizing EEG to Explore the Mental States Involved in the Occurrence of Different Levels Design Fixation

2021 ◽  
Author(s):  
Juan Cao ◽  
Wu Zhao ◽  
Xin Guo ◽  
Tingting Wu
Keyword(s):  
Cognitive Bias ◽  
Idea Generation ◽  
Mental Effort ◽  
Mental States ◽  
Mental Fatigue ◽  
Generation Process ◽  
Design Fixation ◽  
Creative Idea ◽  
Comparison Results ◽  
Different Levels

Abstract Design fixation, which is a form of cognitive bias, is commonly reported to unconsciously occur when designers take the path of least resistance during the fulfillment of a design task. It’s thought to be easy and effortless. Nonetheless, the mental states such as mental effort and mental fatigue that accompany the occurrence of different levels of design fixation are still unknown. In the present study, an experiment using electroencephalography (EEG) was conducted to examine the mental effort and mental fatigue involved in the occurrence of different levels of design fixation during creative idea generation. Fluency, flexibility, the degree of copying, and the time spent generating ideas were used to evaluate the design performance and fixation level of each participant, and the task-related power changes of theta, alpha, and beta bands of participants with higher and lower levels of fixation during creative idea generation process were compared and analyzed separately. The comparison results revealed that participants with higher levels of design fixation made the less mental effort and showed higher levels of mental fatigue during the ideation process compared to those with lower levels of design fixation. These results provide additional evidence for the mental states involved in the occurrence of design fixation and could contribute to a deeper understanding of design fixation from the neuroscience perspective.

THE CREATIVE INVESTIGATION OF BRAIN ACTIVITY WITH EEG FOR GENDER AND LEFT/RIGHT-HANDED DIFFERENCES

2015 ◽  
Vol 15 (04) ◽  
pp. 1550054 ◽  
Author(s):  
YAN XIONG ◽  
YAN LI ◽  
YU CHEN ◽  
PING YUAN ◽  
YUBO FAN ◽  
...  
Keyword(s):  
Left Hemisphere ◽  
Creative Thinking ◽  
Right Hemisphere ◽  
Brain Activity ◽  
Idea Generation ◽  
Alpha Power ◽  
Parietal Region ◽  
Left Handed ◽  
Original Group ◽  
The Right

This paper studied the differences of gender and left/right-handed groups from a neuroscience perspective through task-related power of alpha power changes during the generation of creative ideas. Aiming to investigate the effects of the differences, it will help understand the specific neural processes for different genders and left/right-handed groups. We used B-Alert X10®; electroencephalography (EEG) system, computed for left and right hemispheres, to determine if EEG metrics differentiated between the gender and left/right-handed groups. This study assessed EEG power spectral density (PSD) while 17 healthy participants worked on the alternative uses (AU) task. The results showed that (1) the creativity level has no relations with the gender; there is no obvious difference between males and females on the process of creative idea generation. (2) The creativity level is high related to the cultivation of innovative ability. There is obvious higher alpha power changes in posterior regions of the right hemisphere compared to the left hemisphere of the brain for high original group, and a stronger task-related alpha synchronization showed in the right hemisphere than that in the left one for the low original group. (3) There is comparatively lower alpha power in parietal region in the left hemisphere than that in the right one for the left-handed participants, and higher alpha power in the frontal region for the left-handed and in parietal region for right-handed participants. The comparison among different genders and left/right-handed participants can help us understand more about the creative thinking manifested in the human brain.

scholarly journals Neural alignment predicts learning outcomes in students taking an introduction to computer science course

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Meir Meshulam ◽  
Liat Hasenfratz ◽  
Hanna Hillman ◽  
Yun-Fei Liu ◽  
Mai Nguyen ◽  
...  
Keyword(s):  
Computer Science ◽  
Learning Outcomes ◽  
Brain Activity ◽  
Activity Patterns ◽  
Real Life ◽  
Final Exam ◽  
Neural Representations ◽  
Real Life Setting ◽  
The Right ◽  
Mri Study

AbstractDespite major advances in measuring human brain activity during and after educational experiences, it is unclear how learners internalize new content, especially in real-life and online settings. In this work, we introduce a neural approach to predicting and assessing learning outcomes in a real-life setting. Our approach hinges on the idea that successful learning involves forming the right set of neural representations, which are captured in canonical activity patterns shared across individuals. Specifically, we hypothesized that learning is mirrored in neural alignment: the degree to which an individual learner’s neural representations match those of experts, as well as those of other learners. We tested this hypothesis in a longitudinal functional MRI study that regularly scanned college students enrolled in an introduction to computer science course. We additionally scanned graduate student experts in computer science. We show that alignment among students successfully predicts overall performance in a final exam. Furthermore, within individual students, we find better learning outcomes for concepts that evoke better alignment with experts and with other students, revealing neural patterns associated with specific learned concepts in individuals.

scholarly journals Using Brain Activity Patterns to Differentiate Real and Virtual Attended Targets during Augmented Reality Scenarios

Information ◽  
2021 ◽  
Vol 12 (6) ◽  
pp. 226
Author(s):  
Lisa-Marie Vortmann ◽  
Leonid Schwenke ◽  
Felix Putze
Keyword(s):  
Augmented Reality ◽  
Eye Tracking ◽  
Brain Activity ◽  
Activity Patterns ◽  
Training Data ◽  
Machine Learning Techniques ◽  
Neural Net ◽  
Dependent Manner ◽  
Tracking Data ◽  
Average Accuracy

Augmented reality is the fusion of virtual components and our real surroundings. The simultaneous visibility of generated and natural objects often requires users to direct their selective attention to a specific target that is either real or virtual. In this study, we investigated whether this target is real or virtual by using machine learning techniques to classify electroencephalographic (EEG) and eye tracking data collected in augmented reality scenarios. A shallow convolutional neural net classified 3 second EEG data windows from 20 participants in a person-dependent manner with an average accuracy above 70% if the testing data and training data came from different trials. This accuracy could be significantly increased to 77% using a multimodal late fusion approach that included the recorded eye tracking data. Person-independent EEG classification was possible above chance level for 6 out of 20 participants. Thus, the reliability of such a brain–computer interface is high enough for it to be treated as a useful input mechanism for augmented reality applications.

scholarly journals Correlation between fetal brain activity patterns and behavioral states: An exploratory fetal magnetoencephalography study

2011 ◽  
Vol 228 (2) ◽  
pp. 200-205 ◽  
Author(s):  
Naim Haddad ◽  
Rathinaswamy B. Govindan ◽  
Srinivasan Vairavan ◽  
Eric Siegel ◽  
Jessica Temple ◽  
...  
Keyword(s):  
Brain Activity ◽  
Activity Patterns ◽  
Fetal Brain ◽  
Behavioral States

Assessment of spontaneous brain activity patterns in patients with iridocyclitis

Neuroreport ◽  
2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Yan Tong ◽  
Xin Huang ◽  
Chen-Xing Qi ◽  
Yin Shen
Keyword(s):  
Brain Activity ◽  
Activity Patterns ◽  
Spontaneous Brain Activity
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