Putting People Center Stage – To Drive and to be Driven

Ihme, Klas; Preuk, Katharina; Drewitz, Uwe; Jipp, Meike

doi:10.1007/978-3-658-23751-6_10

Cited by 2 publications

(2 citation statements)

References 44 publications

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“…Over the past decade, affective computing came into the focus of research for driver monitoring systems, because some emotions are supposed to impact drivers' cognitive capabilities necessary for driving and risk perception (Jeon et al, 2011). Therefore, detecting and mitigating driver emotions by using affective computing in an emotion-aware system may ensure driving safety (Ihme et al, 2019). One idea of such a system is to interpret the user's emotional state and provide assistance to support users to reduce the negative consequences of certain emotional states (Klein et al, 2002;Tews et al, 2011;Jeon, 2015;Löcken et al, 2017;Ihme et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Developments in Implicit Measurements

2022

Frontiers Research Topics

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Frontiers is more than just an open-access publisher of scholarly articles: it is a pioneering approach to the world of academia, radically improving the way scholarly research is managed. The grand vision of Frontiers is a world where all people have an equal opportunity to seek, share and generate knowledge. Frontiers provides immediate and permanent online open access to all its publications, but this alone is not enough to realize our grand goals. Frontiers Journal SeriesThe Frontiers Journal Series is a multi-tier and interdisciplinary set of open-access, online journals, promising a paradigm shift from the current review, selection and dissemination processes in academic publishing. All Frontiers journals are driven by researchers for researchers; therefore, they constitute a service to the scholarly community. At the same time, the Frontiers Journal Series operates on a revolutionary invention, the tiered publishing system, initially addressing specific communities of scholars, and gradually climbing up to broader public understanding, thus serving the interests of the lay society, too. Dedication to QualityEach Frontiers article is a landmark of the highest quality, thanks to genuinely collaborative interactions between authors and review editors, who include some of the world's best academicians. Research must be certified by peers before entering a stream of knowledge that may eventually reach the public -and shape society; therefore, Frontiers only applies the most rigorous and unbiased reviews. Frontiers revolutionizes research publishing by freely delivering the most outstanding research, evaluated with no bias from both the academic and social point of view. By applying the most advanced information technologies, Frontiers is catapulting scholarly publishing into a new generation.

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Section: Introductionmentioning

confidence: 99%

Developments in Implicit Measurements

2022

Frontiers Research Topics

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“…Over the past decade, affective computing came into the focus of research for driver monitoring systems, because some emotions are supposed to impact drivers' cognitive capabilities necessary for driving and risk perception (Jeon et al, 2011 ). Therefore, detecting and mitigating driver emotions by using affective computing in an emotion-aware system may ensure driving safety (Ihme et al, 2019 ). One idea of such a system is to interpret the user's emotional state and provide assistance to support users to reduce the negative consequences of certain emotional states (Klein et al, 2002 ; Tews et al, 2011 ; Jeon, 2015 ; Löcken et al, 2017 ; Ihme et al, 2018 ).…”

Section: Introductionmentioning

confidence: 99%

Understanding the Multidimensional and Dynamic Nature of Facial Expressions Based on Indicators for Appraisal Components as Basis for Measuring Drivers' Fear

et al. 2021

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Facial expressions are one of the commonly used implicit measurements for the in-vehicle affective computing. However, the time courses and the underlying mechanism of facial expressions so far have been barely focused on. According to the Component Process Model of emotions, facial expressions are the result of an individual's appraisals, which are supposed to happen in sequence. Therefore, a multidimensional and dynamic analysis of drivers' fear by using facial expression data could profit from a consideration of these appraisals. A driving simulator experiment with 37 participants was conducted, in which fear and relaxation were induced. It was found that the facial expression indicators of high novelty and low power appraisals were significantly activated after a fear event (high novelty: Z = 2.80, p < 0.01, rcontrast = 0.46; low power: Z = 2.43, p < 0.05, rcontrast = 0.50). Furthermore, after the fear event, the activation of high novelty occurred earlier than low power. These results suggest that multidimensional analysis of facial expression is suitable as an approach for the in-vehicle measurement of the drivers' emotions. Furthermore, a dynamic analysis of drivers' facial expressions considering of effects of appraisal components can add valuable information for the in-vehicle assessment of emotions.

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Putting People Center Stage – To Drive and to be Driven

Cited by 2 publications

References 44 publications

Developments in Implicit Measurements

Developments in Implicit Measurements

Understanding the Multidimensional and Dynamic Nature of Facial Expressions Based on Indicators for Appraisal Components as Basis for Measuring Drivers' Fear

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