Designing in-car emotion-aware automation

2021 ◽  
pp. 1-15
Author(s):  
Silvia Ceccacci

Driver behaviour recognition is of paramount importance for in-car automation assistance. It is widely recognized that not only attentional states, but also emotional ones have an impact on the safety of the driving behaviour. This research work proposes an emotion-aware in-car architecture where it is possible to adapt driver’s emotions to the vehicle dynamics, investigating the correlations between negative emotional states and driving performances, and suggesting a system to regulate the driver’s engagement through a unique user experience (e.g. using music, LED lighting) in the car cabin. The relationship between altered emotional states induced through auditory stimuli and vehicle dynamics is investigated in a driving simulator. The results confirm the need for both types of information to improve the robustness of the driver state recognition function and open up the possibility that auditory stimuli can modify driving performance somehow.

2020 ◽  
Vol 27 (38) ◽  
pp. 6536-6547 ◽  
Author(s):  
Yi-Hau Chen ◽  
Hsiuying Wang

A number of clinical studies have revealed that there is an association between major depression (MD) and gastroesophageal reflux disease (GERD). Both the diseases are shown to affect a large proportion of the global population. More advanced studies for understanding the comorbidity mechanism of these two diseases can shed light on developing new therapies of both diseases. To the best of our knowledge, there has not been any research work in the literature investigating the relationship between MD and GERD using their miRNA biomarkers. We adopt a phylogenetic analysis to analyze their miRNA biomarkers. From our analyzed results, the association between these two diseases can be explored through miRNA phylogeny. In addition to evidence from the phylogenetic analysis, we also demonstrate epidemiological evidence for the relationship between MD and GERD based on Taiwan biobank data.


2021 ◽  
Vol 54 (2) ◽  
pp. 1-36
Author(s):  
Fan Zhou ◽  
Xovee Xu ◽  
Goce Trajcevski ◽  
Kunpeng Zhang

The deluge of digital information in our daily life—from user-generated content, such as microblogs and scientific papers, to online business, such as viral marketing and advertising—offers unprecedented opportunities to explore and exploit the trajectories and structures of the evolution of information cascades. Abundant research efforts, both academic and industrial, have aimed to reach a better understanding of the mechanisms driving the spread of information and quantifying the outcome of information diffusion. This article presents a comprehensive review and categorization of information popularity prediction methods, from feature engineering and stochastic processes , through graph representation , to deep learning-based approaches . Specifically, we first formally define different types of information cascades and summarize the perspectives of existing studies. We then present a taxonomy that categorizes existing works into the aforementioned three main groups as well as the main subclasses in each group, and we systematically review cutting-edge research work. Finally, we summarize the pros and cons of existing research efforts and outline the open challenges and opportunities in this field.


2021 ◽  
Vol 13 (5) ◽  
pp. 2911
Author(s):  
Jesús Manuel De Sancha-Navarro ◽  
Juan Lara-Rubio ◽  
María Dolores Oliver-Alfonso ◽  
Luis Palma-Martos

University students consume live music; however, almost 40% declare that they have never attended a flamenco show, an intangible heritage of humankind. Numerous studies have shown that cultural capital and socioeconomic profile, among other factors, are variables that influence cultural consumption, and therefore, cultural sustainability. Considering the relationship between several variables, this paper pursues a double objective. On the one hand, identifying the factors that influence attendance at flamenco shows, and on the other, proposing a predictive model that quantifies the likelihood of an individual attending a flamenco show. To this end, we analyse flamenco consumption by means of a survey conducted on 452 university students, using Multilayer Perceptrom (a non-parametric model), a methodology based on an artificial neural network. Our results confirm the importance of cultural capital, as well as personal and external factors, among other. The findings of this research work are of potential interest for management and planning of cultural events, as well as to promote cultural sustainability.


Author(s):  
Marije Keulen-de Vos ◽  
Vivienne de Vogel

Therapy alliance has been studied largely in voluntary psychotherapy but less is known about its predictive factors for positive alliance and treatment outcome in forensic populations. The aim of this study was to examine the relationship between offenders’ emotional states and therapy alliance. Moreover, we were interested in the predictive impact of emotional states early in treatment on alliance at 18 months into treatment. Self-ratings of emotional states and alliance by 103 male offenders, and therapist-ratings for therapy alliance were examined using hierarchical multiple regression analyses. Participants were primarily convicted for violent of sexual offenses, and were diagnosed with antisocial, borderline or narcissistic personality disorders. Healthy emotional states were predictive of mid-treatment agreement on therapy goals and therapist ratings on tasks within the therapy. Unhealthy emotional states were predictive of patient-rated agreement on tasks. Emotional states were not predictive for the reported therapist/patient bond or global alliance ratings. This study emphasizes the importance of healthy emotional states in treatment of offenders with personality disorders.


2011 ◽  
Vol 460-461 ◽  
pp. 704-709
Author(s):  
Shu Tao Zheng ◽  
Zheng Mao Ye ◽  
Jun Jin ◽  
Jun Wei Han

Vehicle driving simulators are widely employed in training and entertainment utilities because of its safe, economic and efficient. Amphibious vehicle driving simulator was used to simulate amphibious vehicle on land and in water. Because of the motion difference between aircraft and amphibious vehicle, it is necessary to design a reasonable 6-DOF motion system according to the flight simulator motion system standard and vehicle motion parameter. FFT of DSP and PSD were used to analysis the relationship between them. Finally according to the result analysis, a set of reasonable 6-DOF motion system motion parameter was given to realize the driving simulator motion cueing used to reproduce vehicle acceleration.


Author(s):  
Rhîannan H. Williams ◽  
Denis Burdakov

It was suggested half a century ago that electrical impulses from the lateral hypothalamic area stimulate breathing. It is now emerging that these effects may be mediated, at least in part, by neurons containing orexin neuropeptides (also known as hypocretins). These cells promote wakefulness and consciousness, and their loss results in narcolepsy. Recent data also show that orexin neurons directly project to respiratory centres in the brainstem, which express orexin receptors, and where injection of orexin stimulates breathing. Because orexin neurons receive inputs that signal metabolic, sleep/wake and emotional states, it is tempting to speculate that they may regulate breathing according to these parameters. Knockout of the orexin gene in mice reduces CO2-induced increases in breathing by ∼50% and increases the frequency of spontaneous sleep apneas. The relationship between orexins and breathing may be bidirectional: the rate of breathing controls acid and CO2 levels, and these signals alter the electrical activity of orexin neurons in vitro. Overall, these findings suggest that orexins are important for the regulation of breathing and may potentially play a role in the pathophysiology and medical treatment of respiratory disorders.


2019 ◽  
Vol 32 (1) ◽  
pp. 61-75
Author(s):  
Rimsha Lakesh

The objective of the present empirical piece of research work is to examine the moderation effect of gender on the relationship between occupational aspiration and career maturity. Following the stratified random sampling technique 1000 students were drawn from different schools at Durg city, to serve as participants in the present research work. Career maturity was measured by Career Maturity Inventory (Gupta, 1989). Occupational aspiration was measured by Grewal (1975). Moderation effect was worked out through hierarchical multiple regression analysis. Result of the study indicated that, gender was significant moderator on the relationship between occupational aspiration and career maturity. It is concluded that there is sufficient empirical and statistical evidence of the moderation effect of gender on the relationship between relationship between occupational aspiration and career maturity.


2021 ◽  
Author(s):  
Konstantinos Giannos ◽  
George Athanasopoulos ◽  
Emilios Cambouropoulos

Visual associations with auditory stimuli have been the subject of numerous studies. Colour, shape, size, and several other parameters have been linked to musical elements like timbre and pitch. In this paper we aim to examine the relationship between harmonisations with varying degrees of dissonance and visual roughness. Based on past research in which high sensory dissonance was associated with angular shapes, we argued that non-tonal and highly dissonant harmonisations will be associated with angular and rough images, while more consonant stimuli will be associated with images of low visual roughness. A fixed melody was harmonised in 7 different styles, including highly tonal, non-tonal, and random variations. Through a listening task, musically trained participants rated the stimuli in terms of enjoyment, familiarity, and matched them to images of variable roughness. The overall consonance of the stimuli was calculated using two distinct models (Wang et al., 2013; Harrison & Pearce, 2020) and a variant of the aggregate dyadic consonance index (Huron, 1994). Our results demonstrate that dissonance, as calculated by all models, was highly correlated with visual roughness, and enjoyment and familiarity followed expected patterns compared to tonal and non-tonal stimuli. In addition to sensory dissonance, however, it appears that other factors, such as the typicality of chord progressions and the sense of tonality may also influence this cross-modal interaction.


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