Evaluation of driver’s mental workload by facial temperature and electrodermal activity under simulated driving conditions

Kajiwara, Shinji

doi:10.1007/s12239-014-0007-9

Cited by 41 publications

(26 citation statements)

References 6 publications

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“…A recent study reported SCR amplitude increased with cognitive load due to dual-task driving (Ruscio et al, 2017 ). Additional workload experienced due to texting and navigation (Seo et al, 2017 ) and speeding (Kajiwara, 2014 ) while simulated driving was also found to increase EDA.…”

Section: Psychophysiological Measures To Assess Cognitive Statesmentioning

confidence: 92%

“…Drop in nasal temperature also correlated with self-reported workload (Or and Duffy, 2007 ). Another study found increases in the difference between nose and forehead temperature increased with mental workload (Kajiwara, 2014 ). Participants' nasal temperature varied as a function of mental workload in simulated driving (Kajiwara, 2014 ).…”

Section: Psychophysiological Measures To Assess Cognitive Statesmentioning

confidence: 99%

See 1 more Smart Citation

A Review of Psychophysiological Measures to Assess Cognitive States in Real-World Driving

Lohani

Payne

Strayer

2019

Front. Hum. Neurosci.

242

181

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As driving functions become increasingly automated, motorists run the risk of becoming cognitively removed from the driving process. Psychophysiological measures may provide added value not captured through behavioral or self-report measures alone. This paper provides a selective review of the psychophysiological measures that can be utilized to assess cognitive states in real-world driving environments. First, the importance of psychophysiological measures within the context of traffic safety is discussed. Next, the most commonly used physiology-based indices of cognitive states are considered as potential candidates relevant for driving research. These include: electroencephalography and event-related potentials, optical imaging, heart rate and heart rate variability, blood pressure, skin conductance, electromyography, thermal imaging, and pupillometry. For each of these measures, an overview is provided, followed by a discussion of the methods for measuring it in a driving context. Drawing from recent empirical driving and psychophysiology research, the relative strengths and limitations of each measure are discussed to highlight each measures' unique value. Challenges and recommendations for valid and reliable quantification from lab to (less predictable) real-world driving settings are considered. Finally, we discuss measures that may be better candidates for a near real-time assessment of motorists' cognitive states that can be utilized in applied settings outside the lab. This review synthesizes the literature on in-vehicle psychophysiological measures to advance the development of effective human-machine driving interfaces and driver support systems.

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Section: Psychophysiological Measures To Assess Cognitive Statesmentioning

confidence: 92%

Section: Psychophysiological Measures To Assess Cognitive Statesmentioning

confidence: 99%

A Review of Psychophysiological Measures to Assess Cognitive States in Real-World Driving

Lohani

Payne

Strayer

2019

Front. Hum. Neurosci.

242

181

View full text Add to dashboard Cite

show abstract

“…Most of all, it could enable sensing the real-time state of motorists non-invasively i.e., without disrupting driving-related tasks and, unlike RGB cameras, independently from external light conditions [109]. Studies of thermal IR imaging in driving contexts stated that a rise in mental workload leads to an increase in the difference between nose and forehead temperature [108,110]. Moreover, thermal IR imaging was demonstrated to be a valuable indicator of the driver arousal level, from alertness to drowsiness [64,111].…”

Section: Thermal Ir Imaging-based Affective Computing In Intelligent mentioning

confidence: 99%

Thermal Infrared Imaging-Based Affective Computing and Its Application to Facilitate Human Robot Interaction: A Review

et al. 2020

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Over recent years, robots are increasingly being employed in several aspects of modern society. Among others, social robots have the potential to benefit education, healthcare, and tourism. To achieve this purpose, robots should be able to engage humans, recognize users’ emotions, and to some extent properly react and "behave" in a natural interaction. Most robotics applications primarily use visual information for emotion recognition, which is often based on facial expressions. However, the display of emotional states through facial expression is inherently a voluntary controlled process that is typical of human–human interaction. In fact, humans have not yet learned to use this channel when communicating with a robotic technology. Hence, there is an urgent need to exploit emotion information channels not directly controlled by humans, such as those that can be ascribed to physiological modulations. Thermal infrared imaging-based affective computing has the potential to be the solution to such an issue. It is a validated technology that allows the non-obtrusive monitoring of physiological parameters and from which it might be possible to infer affective states. This review is aimed to outline the advantages and the current research challenges of thermal imaging-based affective computing for human–robot interaction.

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“…In a recent study, SC and SP have been recorded simultaneously at different skin sites to evaluate the mental workload during driving by Kajiwara [42]. Author stated that in order to simultaneously measure the SC and SP, the SC was measured on the left arm, and the SP was measured on the right arm.…”

Section: Alternately (Simultaneous Recording At Different Skin Sites)mentioning

confidence: 99%

Electrodermal Activity: Simultaneous Recordings

Aldosky¹,

Bari²

2020

Electrochemical Impedance Spectroscopy

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Electrodermal activity (EDA) is a sensitive measure of the sympathetic nervous system activity. It is used to describe changes in the skin electrical properties. This chapter aimed to show advantages of simultaneous recordings of EDA parameters at the same skin site over other recordings. The literature databases, Web of Science and Google Scholar, were searched using terms like "electrodermal activity," "sequential recording," "simultaneous recording," "skin conductance," "skin potential," and "skin susceptance." Articles that include sequential and/or simultaneous recording of EDA parameters were analyzed. The chapter presents a description of the oldest and current methods used for recording EDA parameters and an explanation of the newest techniques used in EDA researches. Although sequential recordings are predominant and widely spreading, much effort has been made to simultaneously record skin conductance (SC) and skin potential (SP), and recently researchers realized the capability of simultaneously recording SC, SP, and skin susceptance (SS) at the same skin site. The advantage of simultaneous over the sequence measurements is that the latter must be manually time realigned when measured by different instruments, which means it is time-consuming. Although the simultaneous measurements are used exclusively for research purposes at this stage, this may open horizons in the modern trends of psychophysiology applications in the near future.

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Evaluation of driver’s mental workload by facial temperature and electrodermal activity under simulated driving conditions

Cited by 41 publications

References 6 publications

A Review of Psychophysiological Measures to Assess Cognitive States in Real-World Driving

A Review of Psychophysiological Measures to Assess Cognitive States in Real-World Driving

Thermal Infrared Imaging-Based Affective Computing and Its Application to Facilitate Human Robot Interaction: A Review

Electrodermal Activity: Simultaneous Recordings

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