Spontaneous and reflexive eye activity measures of mental workload

Measures of eye activity, such as blink rate and scanning patterns, have been used extensively as psychophysiological indices of mental workload. In a review of measures derived from spontaneous eye activity it is shown that different measures are differentially sensitive to specific aspects of mental workload. A less well-known measure of non-spontaneous eye activity, the blink reflex, is also reviewed. Experiments using discrete punctuate stimuli and continuous tasks analogous to real-world systems show that blink reflexes are modulated by attention and that this modulation reflects modality-specific attentional engagement. Future research should examine the utility of the blink reflex according to the desirable properties of sensitivity, diagnosticity, validity, reliability, ease of use, unobtrusiveness, and operator acceptance.

Effect of varying levels of mental workload on startle eyeblink modulation

Previous research using punctuate reaction time and counting tasks has found that the startle eyeblink reflex is sensitive to attentional demands. The present experiment explored whether startle eyeblink is also modulated during a complex continuous task and is sensitive to different levels of mental workload. Participants (N=14) performed a visual horizontal tracking task either alone (single-task condition) or in combination with a visual gauge monitoring task (multiple-task condition) for three minutes. On some task trials, the startle eyeblink reflex was elicited by a noise burst. Results showed that startle eyeblink was attenuated during both tasks and that the attenuation was greater during the multiple-task condition than during the single-task condition. Subjective ratings, endogenous eyeblink rate, heart period, and heart period variability provided convergent validity of the workload manipulations. The findings suggest that the startle eyeblink is sensitive to the workload demands associated with a continuous visual task. The application of startle eyeblink modulation as a workload metric and the possibility that it may be diagnostic of workload demands in different stimulus modalities is discussed.

Relación de los factores laborales e individuales con la carga mental de los trabajadores de una institución minera (2014)

Objetivo: Establecer la relación de los factores laborales e individuales con la carga mental en los trabajadores del área de contratación y titulación minera y los de seguimiento y control en una institución minera durante el año 2014. Materiales y métodos: Estudio de corte transversal en 298 trabajadores que trabajan en una Institución Minera, en la ciudad de Bogotá. La identificación de los factores laborales e individuales relacionados con la carga mental se hizo mediante la aplicación de un cuestionario autodiligenciado utilizando la guía de Estimación de la carga mental de trabajo: método NASA TLX, en el cual se realizó análisis de medidas de tendencia central y se indagó relación a través de la prueba Chi cuadrado de Pearson, usando nivel de significación del 5%, con el programa SPSS 20. Resultados: La población predominante era de género masculino, donde la mayoría de los trabajadores fueron ingenieros pertenecientes al área de seguimiento y control, se evidenció asociación estadísticamente significativa entre la profesión con la percepción de exigencia física (p ≤ 0,001), de igual modo entre área de trabajo con la percepción de exigencia mental (p ≤ 0,001), en la cual se establece que la carga mental y el factor profesional (técnicos) y el factor laboral (área de seguimiento y control), son determinantes para la aparición de fatiga fisiológica y cognitiva, ya que en estos se evidencia mayor exigencia física en los trabajadores técnicos con un 81,40% y en los trabajadores del área de seguimiento y control con un 99,04%. Conclusión: Se encontró una alta exigencia mental, temporal y esfuerzo en los trabajadores y una relación significativa entre la profesión con la percepción de exigencia física, predominando en los técnicos, seguidos de abogados e ingenieros y entre el área de trabajo con la percepción de exigencia mental, siendo mayor en el área de seguimiento y control.

Avaliação das demandas física e mental no trabalho do cirurgião em procedimentos eletivos

Esta tese aborda o trabalho de cirurgiões de um hospital de Porto Alegre, RS, durante procedimentos eletivos de pequeno, médio e grande porte, visando o estudo das possíveis relações entre as demandas física e mental e a idade e a experiência do cirurgião. Inicialmente, foi feito um mapeamento de constrangimentos ergonômicos relacionados ao trabalho cirúrgico e, num segundo momento: i) o nível de demanda física imposta aos cirurgiões eletivos por meio de uma técnica de avaliação de posturas (REBA – Rapid Entire Body Assessment) (HIGNETT & McATAMNEY, 2000), da Freqüência Cardíaca (FC), da Pressão Arterial (PA) (sistólica e diastólica) e do nível de hormonal (Noradrenalina) e; ii) o nível de demanda mental envolvida no trabalho por meio do nível hormonal (cortisol, Adenocorticotrófico – ACTH e Adrenalina e, também, por meio da FC e PA). De maneira geral, ficou evidente que, independentemente do tipo de cirurgia, há a presença de carga física de pouca intensidade e de carga mental de média intensidade entre os cirurgiões. Os resultados apontaram, também, que os cirurgiões mais jovens (menos experientes) apresentam mais esforço mental do que físico, principalmente nas cirurgias de grande porte, e os mais experientes têm mais esforço físico nas cirurgias de pequeno porte e menos esforço mental, em comparação aos mais jovens (menos experientes), nas cirurgias de grande porte.

Mental states monitoring through passive Brain-Computer Interface systems

The monitoring of cognitive functions aims at gaining information about the current cognitive state of the user by decoding brain signals. In recent years, this approach allowed to acquire valuable information about the cognitive aspects regarding the interaction of humans with external world. From this consideration, researchers started to consider passive application of brain–computer interface (BCI) in order to provide a novel input modality for technical systems solely based on brain activity. The objective of this thesis is to demonstrate how the passive Brain Computer Interfaces (BCIs) applications can be used to assess the mental states of the users, in order to improve the human machine interaction. Two main studies has been proposed. The first one allows to investigate whatever the Event Related Potentials (ERPs) morphological variations can be used to predict the users’ mental states (e.g. attentional resources, mental workload) during different reactive BCI tasks (e.g. P300-based BCIs), and if these information can predict the subjects’ performance in performing the tasks. In the second study, a passive BCI system able to online estimate the mental workload of the user by relying on the combination of the EEG and the ECG biosignals has been proposed. The latter study has been performed by simulating an operative scenario, in which the occurrence of errors or lack of performance could have significant consequences. The results showed that the proposed system is able to estimate online the mental workload of the subjects discriminating three different difficulty level of the tasks ensuring a high reliability.

BASS 4: a software system for ergonomic design and evaluation of working hours

OBJECTIVE: To extend an existing computer programme for the evaluation and design of shift schedules (BASS 3) by integrating workload as well as economic aspects. METHODS: The redesigned prototype BASS 4 includes a new module with a suitable and easily applicable screening method (EBA) for the assessment of the intensity of physical, emotional and cognitive workload components and their temporal patterns. Specified criterion functions based on these ratings allow for an adjustment of shift and rest duration according to the intensity of physical and mental workload. Furthermore, with regard to interactive effects both workload and temporal conditions, e.g. time of day, are taken into account. In a second new module, important economic aspects and criteria have been implemented. Different ergonomic solutions for scheduling problems can now also be evaluated with regard to their economic costs. RESULTS: The new version of the computer programme (BASS 4) can now simultaneously take into account numerous ergonomic, legal, agreed and economic criteria for the design and evaluation of working hours. CONCLUSIONS: BASS 4 can now be used as an instrument for the design and the evaluation of working hours with regard to legal, ergonomic and economic aspects at the shop floor as well as in administrative (e.g. health and safety inspection) and research problems.

Effects of P300-based BCI use on reported presence in a virtual environment

Brain-computer interfaces (BCIs) are becoming more and more popular as an input device for virtual worlds and computer games. Depending on their function, a major drawback is the mental workload associated with their use and there is significant effort and training required to effectively control them. In this paper, we present two studies assessing how mental workload of a P300-based BCI affects participants" reported sense of presence in a virtual environment (VE). In the first study, we employ a BCI exploiting the P300 event-related potential (ERP) that allows control of over 200 items in a virtual apartment. In the second study, the BCI is replaced by a gaze-based selection method coupled with wand navigation. In both studies, overall performance is measured and individual presence scores are assessed by means of a short questionnaire. The results suggest that there is no immediate benefit for visualizing events in the VE triggered by the BCI and that no learning about the layout of the virtual space takes place. In order to alleviate this, we propose that future P300-based BCIs in VR are set up so as require users to make some inference about the virtual space so that they become aware of it,which is likely to lead to higher reported presence.

Modélisation de l’engagement et de la charge mentale de travail dans les Systèmes Tutoriels Intelligents

Les récents avancements en sciences cognitives, psychologie et neurosciences, ont démontré que les émotions et les processus cognitifs sont intimement reliés. Ce constat a donné lieu à une nouvelle génération de Systèmes Tutoriels Intelligents (STI) dont la logique d’adaptation repose sur une considération de la dimension émotionnelle et affective de l’apprenant. Ces systèmes, connus sous le nom de Systèmes Tutoriels Émotionnellement Intelligents (STEI), cherchent à se doter des facultés des tuteurs humains dans leurs capacités à détecter, comprendre et s’adapter intuitivement en fonction de l’état émotionnel des apprenants. Toutefois, en dépit du nombre important de travaux portant sur la modélisation émotionnelle, les différents résultats empiriques ont démontré que les STEI actuels n’arrivent pas à avoir un impact significatif sur les performances et les réactions émotionnelles des apprenants. Ces limites sont principalement dues à la complexité du concept émotionnel qui rend sa modélisation difficile et son interprétation ambiguë. Dans cette thèse, nous proposons d’augmenter les STEI des indicateurs d’états mentaux d’engagement et de charge mentale de travail. Ces états mentaux ont l’avantage d’englober à la fois une dimension affective et cognitive. Pour cela, nous allons, dans une première partie, présenter une approche de modélisation de ces indicateurs à partir des données de l’activité cérébrale des apprenants. Dans une seconde partie, nous allons intégrer ces modèles dans un STEI capable d’adapter en temps réel le processus d’apprentissage en fonction de ces indicateurs.

WAIS Seminar:Evaluating the Cognitive Side of Information Interaction

Abstract In this talk, I'll focus on the work we've been doing on evaluating the cognitive side of dealing with information resources and increasingly complex user interfaces. While we can build increasingly powerful user interfaces, they often come at the cost of simple design and ease of use. I'll describe two specific studies: 1) work on the ORCHID project focused on measuring mental workload during tasks using fNIRS (a blood-oxygen-based brain scanner), and 2) a evaluation metric for measuring how much people learn during tasks. Together these provide advances towards understanding the cognitive side of information interaction, in working towards building better tools for users.

Identificación de factores de riesgo asociados a fatiga en personal de enfermería en una clínica del sector privado de la ciudad de Bogotá, Colombia

La fatiga asociada a la carga de trabajo impuesta en trabajadores del sector salud es un factor directamente relacionado con el nivel de desempeño del trabajador y por lo tanto de la seguridad del paciente. El objetivo del presente estudio es realizar una evaluación multidimensional de la fatiga laboral percibida del personal de enfermería de una Institución Prestadora de Servicios de Salud (IPS) de IV nivel la ciudad de Bogotá. Para la valoración de fatiga se aplicó la versión en español del Inventario Sueco de Fatiga Ocupacional (SOFI-S) acompañado de preguntas abstraídas de la batería de riesgo psicosocial del Ministerio de la Protección Social y un cuestionario demográfico. Se encuestaron 60 enfermeras (3,3% hombres, 96,7% mujeres). Los principales factores asociados a la generación de fatiga son las horas de sueño, el turno y las actividades del hogar. La agrupación factorial genera 4 dimensiones de fatiga y no 5 como comúnmente se agrupa el cuestionario SOFI.

Variability analysis of discrete event series and wavefront patterns in surface electrocardiogram: contributions to psychophysiological and clinical research

The surface electrocardiogram (ECG) is an established diagnostic tool for the detection of abnormalities in the electrical activity of the heart. The interest of the ECG, however, extends beyond the diagnostic purpose. In recent years, studies in cognitive psychophysiology have related heart rate variability (HRV) to memory performance and mental workload. The aim of this thesis was to analyze the variability of surface ECG derived rhythms, at two different time scales: the discrete-event time scale, typical of beat-related features (Objective I), and the “continuous” time scale of separated sources in the ECG (Objective II), in selected scenarios relevant to psychophysiological and clinical research, respectively. Objective I) Joint time-frequency and non-linear analysis of HRV was carried out, with the goal of assessing psychophysiological workload (PPW) in response to working memory engaging tasks. Results from fourteen healthy young subjects suggest the potential use of the proposed indices in discriminating PPW levels in response to varying memory-search task difficulty. Objective II) A novel source-cancellation method based on morphology clustering was proposed for the estimation of the atrial wavefront in atrial fibrillation (AF) from body surface potential maps. Strong direct correlation between spectral concentration (SC) of atrial wavefront and temporal variability of the spectral distribution was shown in persistent AF patients, suggesting that with higher SC, shorter observation time is required to collect spectral distribution, from which the fibrillatory rate is estimated. This could be time and cost effective in clinical decision-making. The results held for reduced leads sets, suggesting that a simplified setup could also be considered, further reducing the costs. In designing the methods of this thesis, an online signal processing approach was kept, with the goal of contributing to real-world applicability. An algorithm for automatic assessment of ambulatory ECG quality, and an automatic ECG delineation algorithm were designed and validated.

An analysis of relational complexity in an air traffic control conflict detection task

Theoretical analyses of air traffic complexity were carried out using the Method for the Analysis of Relational Complexity. Twenty-two air traffic controllers examined static air traffic displays and were required to detect and resolve conflicts. Objective measures of performance included conflict detection time and accuracy. Subjective perceptions of mental workload were assessed by a complexity-sorting task and subjective ratings of the difficulty of different aspects of the task. A metric quantifying the complexity of pair-wise relations among aircraft was able to account for a substantial portion of the variance in the perceived complexity and difficulty of conflict detection problems, as well as reaction time. Other variables that influenced performance included the mean minimum separation between aircraft pairs and the amount of time that aircraft spent in conflict.