Revealing the 'Invisible Gorilla' in Construction: Assessing Mental Workload through Time-Frequency Analysis

Chen, Jiayu; Ren, Bin; Song, Xinyi; Luo, Xiaowei

doi:10.22260/isarc2015/0104

Cited by 11 publications

(7 citation statements)

References 27 publications

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“…The left and right frontal regions appear to drive the decision making process to share specific messages, a finding consistent with prior evidence linking these regions to motivation and mood regulation (Davidson 2004). Conversely, EEG activity over the Fp1 and Fp2 regions is commonly associated with logical or emotional attention, judgment, and decision making (Chen et al 2015).…”

Section: Resultsmentioning

confidence: 99%

How a User’s Personality Influences Content Engagement in Social Media

Hodas

Butner

Corley

2016

Lecture Notes in Computer Science

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Abstract. Social media presents an opportunity for people to share content that they find to be significant, funny, or notable. No single piece of content will appeal to all users, but are there systematic variations between users that can help us better understand information propagation? We conducted an experiment exploring social media usage during disaster scenarios, combining electroencephalogram (EEG), personality surveys, and prompts to share social media, we show how personality not only drives willingness to engage with social media, but also helps to determine what type of content users find compelling. As expected, extroverts are more likely to share content. In contrast, one of our central results is that individuals with depressive personalities are the most likely cohort to share informative content, like news or alerts. Because personality and mood will generally be highly correlated between friends via homophily, our results may be an import factor in understanding social contagion.

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Section: Resultsmentioning

confidence: 99%

How a User’s Personality Influences Content Engagement in Social Media

Hodas

Butner

Corley

2016

Lecture Notes in Computer Science

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“…Figure 1 shows in detail the literature and citation searches, as well as the screening phases, that led to the selection of the documents included in the review. [2,24,25,41,45,48,[49][50][51]61,82,83,85,87,[93][94][95]. Overall, the included documents covered the time period from 1995 to 2022.…”

Section: Resultsmentioning

confidence: 99%

Ratio Indexes Based on Spectral Electroencephalographic Brainwaves for Assessment of Mental Involvement: A Systematic Review

Marcantoni,

Assogna,

Del Borrello

et al. 2023

Sensors

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Background: This review systematically examined the scientific literature about electroencephalogram-derived ratio indexes used to assess human mental involvement, in order to deduce what they are, how they are defined and used, and what their best fields of application are. (2) Methods: The review was carried out according to the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) guidelines. (3) Results: From the search query, 82 documents resulted. The majority (82%) were classified as related to mental strain, while 12% were classified as related to sensory and emotion aspects, and 6% to movement. The electroencephalographic electrode montage used was low-density in 13%, high-density in 6% and very-low-density in 81% of documents. The most used electrode positions for computation of involvement indexes were in the frontal and prefrontal cortex. Overall, 37 different formulations of involvement indexes were found. None of them could be directly related to a specific field of application. (4) Conclusions: Standardization in the definition of these indexes is missing, both in the considered frequency bands and in the exploited electrodes. Future research may focus on the development of indexes with a unique definition to monitor and characterize mental involvement.

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“…Most researchers jointly report that an increased mental workload (MW) leads to a decrease in parietal alpha power [36][37][38][39], and that alpha waves are associated with relaxation and tend to increase in states of lower alertness, and mental vigilance [40,41]. Frontal theta power was reported to increase with increasing MW [36,37,[42][43][44], however, the findings in frontal theta power are less consistent.…”

Section: Measuring Driver's Cognitive Statesmentioning

confidence: 99%

Ambient Light Conveying Reliability Improves Drivers’ Takeover Performance without Increasing Mental Workload

Figalová¹,

Chuang²,

Pichen³

et al. 2022

Preprint

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Drivers of L3 automated vehicles (AVs) are not required to continuously monitor the AV system. However, they must be prepared to take over when requested. Therefore, it is necessary to design an in-vehicle environment that allows drivers to adapt their levels of preparedness to the likelihood of control transition. This study evaluates ambient in-vehicle lighting that continuously communicates the current level of AV reliability, specifically on how it could influence drivers' take-over performance and mental workload (MW). We conducted an experiment in a driving simulator with 42 participants who experienced 10 take-over requests (TORs). The experimental group experienced a four-stage ambient light display that communicated the current level of AV reliability, which was not provided to the control group. The experimental group demonstrated better take-over performance, based on lower vehicle jerks. Notably, perceived MW did not differ between the groups, and the EEG indices of MW (frontal theta power, parietal alpha power, Task-Load Index) did not differ between the groups. These findings suggest that communicating the current level of reliability using ambient light might help drivers be better prepared for TORs and perform better without increasing their MW.

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Revealing the 'Invisible Gorilla' in Construction: Assessing Mental Workload through Time-Frequency Analysis

Cited by 11 publications

References 27 publications

How a User’s Personality Influences Content Engagement in Social Media

How a User’s Personality Influences Content Engagement in Social Media

Ratio Indexes Based on Spectral Electroencephalographic Brainwaves for Assessment of Mental Involvement: A Systematic Review

Ambient Light Conveying Reliability Improves Drivers’ Takeover Performance without Increasing Mental Workload

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