Mengting Zhao- Doctor of Philosophy
- Postdoctoral fellow at Concordia University
Mengting Zhao
- Doctor of Philosophy
- Postdoctoral fellow at Concordia University
I am currently working as a postdoctoral fellow in DesignLab at Concordia University.
About
12
Publications
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Introduction
Mengting Zhao currently works at Concordia Institute for Information Systems Engineering (CIISE), Concordia University, Canada. Mengting's research interests include cognitive science, emotional engineering, neuroscience and design theory. Her most recent publication is 'Network oscillations imply the highest cognitive workload and lowest cognitive control during idea generation in open-ended creation tasks'.
Current institution
Publications
Publications (12)
Objective
This study aims to investigate the relationship between the subjective performance evaluations on pilot trainees' aircraft control abilities and their brainwave dynamics reflected in the results from EEG microstate analysis. Specifically, we seek to identify correlations between distinct microstate patterns and each dimension included in...
The objective of pilot training is to equip trainees with the knowledge, judgment, and skills to maintain control of an aircraft and respond to critical flight tasks. The present research aims to investigate changes in trainees’ cognitive control levels during a pilot training process while they underwent basic flight maneuvers. EEG microstate anal...
Understanding neural mechanisms in design and creativity processes remains a challenging endeavor. To address this gap, we present two electroencephalography (EEG) datasets recorded in design and creativity experiments. We have discussed the details, similarities, differences, and corresponding cognitive tasks of the two datasets in the following s...
When given a 'good' workload, human participants can efficiently complete the assigned task within the time limit, while they may fail to complete it due to low efficiency when given a 'bad' workload. The objective of this research is to investigate how much workload is considered 'good' for individuals to meet a deadline and successfully complete...
When given a "good" workload, human beings can efficiently accomplish the assigned task within the time limit, whereas they could fail to complete it due to low efficiency when given a "bad" workload. The objective of the present research is thus to investigate how much workload is a "good" workload for a human being to meet the deadline with a suc...
Design is a ubiquitous, complex, and open-ended creation behaviour that triggers creativity. The brain dynamics underlying design is unclear, since a design process consists of many basic cognitive behaviours, such as problem understanding, idea generation, idea analysis, idea evaluation, and idea evolution. In this present study, we simulated the...
This paper proposes a task-related electroencephalogram research framework (tEEG framework) to guide scholars' research on EEG-based cognitive and affective studies in the context of design. The proposed tEEG framework aims to investigate design activities with loosely controlled experiments and decompose a complex design process into multiple prim...
Information collection may affect the design quality and designer's performance through changing the structure of information and the way how information is searched and organized. Based on the theoretical analysis conducted by Wang et al., the present work continues to investigate the influence of designer's natural choice of information collectio...
![Fig. 9.1 EBD process model [77]](profile/Mengting-Zhao/publication/321150540/figure/fig1/AS:586720072441857@1516896374984/EBD-process-model-77_Q320.jpg)
A wide variety of research topics on emotional engineering has demonstrated that emotional engineering has attracted a lot of attention recently, and more researchers have realized the importance of emotion in engineering. Some of the efforts are focused on the application of emotion to different phases within a product lifecycle, namely conceive s...
This technical report presents an overview of quantitative EEG methods commonly used to detect cognitive and affective states. The paper covers basic knowledge of EEG recording, preprocessing and analysis methods.
