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نتیجه جستجو - Emotional state

تعداد مقالات یافته شده: 16
ردیف عنوان نوع
1 Artificial intelligence-driven music biometrics influencing customers’ retail buying behavior
بیومتریک موسیقی با هوش مصنوعی بر رفتار خرید خرده فروشی مشتریان تأثیر می گذارد-2021
This study examines the digital transformation effects of artificial intelligence (AI)-based facial and music bio- metrics on customers’ cognitive and emotional states, and how these effects influence their behavioral responses in terms of value creation. Using a real-life, major optical retail store in China, 386 customers participated in a five-day experiment with different types of music (enhanced by music-recognition biometrics). The findings show that for utilitarian-type customers in a high-involvement AI purchase condition, music-recognition bio-metric-induced emotion mediates cognition and behavioral intentions. Both likability and the tempo of the music affect the impact of music on cognition. This study contributes to a better understanding of the relationship between cognition and emotion induced by AI-based facial and music biometric systems in shaping customer behavior and it adds to the atmospheric literature. This is a significant contribution given the paucity of research in the context of the Chinese retail environment, which is now a significant retail market with global importance.
Keywords: Artificial intelligence | Atmospherics | Cognition | Emotion | Music | Retail
مقاله انگلیسی
2 How is emotion associated with driving speed? A study on taxi drivers in Japan
چگونه احساسات با سرعت رانندگی ارتباط دارد؟ بررسی رانندگان تاکسی در ژاپن-2021
Drivers’ emotions significantly affect their driving performance and thus are related to driving safety issues. The objective of this study is to examine how taxi drivers’ on-duty emotional states are associated with their driving speed in real driving situations. An experiment was conducted among 15 taxi drivers in Hiroshima, Japan for 15 consecutive days in 2019. A biometric device was used to track drivers’ emotional states while on duty; the five examined states included happy, angry, relaxed, sad, and neutral. Random effects panel regression results revealed that negative emotions of taxi drivers (angry and sad) have significant impacts on increasing driving speed. In contrast, a neutral emotional state is related with decreased speed, while happy and relaxed emotional states show no significant impact. Moreover, we found that factors such as driving with customers, driving long hours, and number of break hours are significantly associated with driving speed. This study contributes to the literature by providing empirical evidence on the roles that emotional states play in explaining driving speed in real-life driving situations, in contrast to studies that use simulated driving or mood induction procedures.© 2021 The Author(s). Published by Elsevier Ltd. This is an open access article under the CCBY license (http://creativecommons.org/licenses/by/4.0/).
Keywords: Emotion | Driving | Biometric device | Taxi | Japan
مقاله انگلیسی
3 The Negative Affect of Protracted Opioid Abstinence: Progress and Perspectives From Rodent Models
تأثیر منفی پرهیز از مصرف مواد افیونی طولانی: پیشرفت و چشم انداز مدل های جوندگان-2020
Opioid use disorder (OUD) is characterized by the development of a negative emotional state that develops after a history of long-term exposure to opioids. OUD represents a true challenge for treatment and relapse prevention. Human research has amply documented emotional disruption in individuals with an opioid substance use disorder, at both behavioral and brain activity levels; however, brain mechanisms underlying this particular facet of OUD are only partially understood. Animal research has been instrumental in elucidating genes and circuits that adapt to long-term opioid use or are modified by acute withdrawal, but research on long-term consequences of opioid exposure and their relevance to the negative affect of OUD remains scarce. In this article, we review the literature with a focus on two questions: 1) Do we have behavioral models in rodents, and what do they tell us? and 2) What do we know about the neuronal populations involved? Behavioral rodent models have successfully recapitulated behavioral signs of the OUD-related negative affect, and several neurotransmitter systems were identified (i.e., serotonin, dynorphin, corticotropin-releasing factor, oxytocin). Circuit mechanisms driving the negative mood of prolonged abstinence likely involve the 5 main reward–aversion brain centers (i.e., nucleus accumbens, bed nucleus of the stria terminalis, amygdala, habenula, and raphe nucleus), all of which express mu opioid receptors and directly respond to opioids. Future work will identify the nature of these mu opioid receptor–expressing neurons throughout reward–aversion networks, characterize their adapted phenotype in opioid abstinent animals, and hopefully position these primary events in the broader picture of mu opioid receptor–associated brain aversion networks.
Keywords: Mood | Mu opioid receptor (MOR) | Neural circuits | Opioid use disorder (OUD) | Opioid withdrawal | Rodent behavior
مقاله انگلیسی
4 Data protection law beyond identifiability? Atmospheric profiles, nudging and the Stratumseind Living Lab
قانون حفاظت از داده ها فراتر از قابلیت شناسایی؟ پروفایل های جوی، تلنگر زدن و آزمایشگاه زنده Stratumseind-2020
The deployment of pervasive information and communication technologies (ICTs) within smart city initiatives transforms cities into extraordinary apparatuses of data capture. ICTs such as smart cameras, sound sensors and lighting technology are trying to infer and affect persons’ interests, preferences, emotional states, and behaviour. It should be no surprise then that contemporary legal and policy debates on privacy in smart cities are dominated by a debate focused on data and, therefore, on data protection law. In other words, data protection law is the go-to legal framework to regulate data processing activities within smart cities and similar initiatives. While this may seem obvious, a number of important hurdles might prevent data protection law to be (successfully) applied to such initiatives. In this contribution, we examine one such hurdle: whether the data processed in the context of smart cities actually qualifies as personal data, thus falling within the scope of data protection law. This question is explored not only through a theoretical discussion but also by taking an illustrative example of a smart city-type initiative – the Stratumseind 2.0 project and its living lab in the Netherlands (the Stratumseind Living Lab; SLL). Our analysis shows that the requirement of ‘identifiability’ might be difficult to satisfy in the SLL and similar initiatives. This is so for two main reasons. First, a large amount of the data at stake do not qualify as personal data, at least at first blush. Most of it relates to the environment, such as, data about the weather, air quality, sound and crowding levels, rather than to identified or even likely identifiable individuals. This is connected to the second reason, according to which, the aim of many smart city initiatives (including the SLL) is not to identify and target specific individuals but to manage or nudge them as a multiplicity – a combination of the environment, persons and all of their interactions. This is done by trying to affect the ‘atmosphere’ on the street. We thus argue that a novel type of profiling operations is at stake; rather than relying on individual or group profiling, the SLL and similar initiatives rely upon what we have called ‘atmospheric profiling’. We conclude that it remains highly uncertain, whether smart city initiatives like the SLL actually process personal data. Yet, they still pose risks for a wide variety of rights and freedoms, which data protection law is meant to protect, and a need for regulation remains.
Keywords: Data protection | Personal data | Smart city | Profiling | Nudging | Stratumseind
مقاله انگلیسی
5 Pathways to the criminalisation of emotional distress: An offenceand harm-based typology
مسیرهایی برای جرم انگاری پریشانی عاطفی: نوع شناسی مبتنی بر آسیب و جرم-2020
The article examines the criminalisation of causing negative emotional states in others and pursues a principled response to the question under which conditions, in a liberal democratic society, it is legitimate to criminalise human conduct that leads to emotional distress in others. Its main aim is to develop an exploratory typology of different types of legally-relevant emotional distress, based on existing offences and informed by the criteria drawn from criminal law philosophy. Following the conceptual distinction between ‘harm’ and ‘offence’, a typology of legally relevant emotional distress ranging from simpler cases of distress through more in-depth offendedness and offence-plus-harm to states of emotional harm is presented. The article then discusses some ‘hard cases’, such as special vulnerabilities and the question of changing sensibilities through time. The repercussions of these changes for an effective and legitimate criminal justice as well as policy implications are addressed in the concluding section..
Keywords: Criminalisation | Emotional distress | Harm | Criminal policy | Crime seriousness | Legitimacy
مقاله انگلیسی
6 A mobile application to report and detect 3D body emotional poses
یک برنامه کاربردی تلفن همراه برای گزارش و کشف نکات سه بعدی عاطفی بدن-2019
Most research into automatic emotion recognition is focused on facial expressions or physiological signals, while the exploitation of body postures has scarcely been explored, although they can be useful for emo- tion detection. This paper first explores a mechanism for self-reporting body postures with a novel easy- to-use mobile application called EmoPose. The app detects emotional states from self-reported poses, classifying them into the six basic emotions proposed by Ekman and a neutral state. The poses identi- fied by Schindler et al. have been used as a reference and the nearest neighbor algorithm used for the classification of poses. Finally, the accuracy in detecting emotions has been assessed by means of poses reported by a sample of users.
Keywords: Affective com puting | App | Emotion detection | Mobile application | Pose detection | Expert system
مقاله انگلیسی
7 Message framing and regulatory focus effects on destination image formation
چارچوب گذاری پیام و تاثیرات تمرکز نظم روی شکل گیری وجهه مقصد-2018
This study examines the influence of message framing and how a match or mismatch between message framing and individuals’ regulatory focus can influence their destination image perceptions and visit intentions utilizing attribute framing and regulatory focus fit theories. This study also examines the mediating role of cognitive fluency and emotional state on attribute framing effects on destination image formation and visit intentions. Findings indicate that framing of marketing messages exerts significant influences on consumers decision making and destination selection process. Consumers under gain-framed message condition tend to have higher destination image perceptions compared to those under loss-framed message conditions. A match between attribute framing and regulatory focus results in formation of better destination image perceptions compared to mismatch. Furthermore, cognitive fluency and emotional state mediate attribute framing effects on destination image formation.
keywords: Attribute framing| Regulatory fit| Destination image| Cognitive fluency| Emotional state
مقاله انگلیسی
8 A study of negative emotional disclosure behavior in social network media: Will an unexpected negative event and personality matter?
مطالعه رفتار افشای منفی عاطفی در رسانه های شبکه اجتماعی: آیا یک رویداد منفی و شخصیت غیرمنتظره اهمیت دارد؟-2017
Why would people feel the need to disclose their negative emotions? Using the theory of conservation of resources, we hypothesize disclosure intention and behavior would be influenced by duration and severity of the negative emotional state. Moreover, we predict the effect of unexpected events and “the Big Five” personality traits on disclosure intention. Besides disclosure intention, we also tapped if the respondents have disclosed their negative emotions on their Facebook profile. In this study, we surveyed 255 Facebook users on their experiences from negative life events under four categories e social rela tionship, work, health and monetary issues. The results support all of our hypotheses. In particular, our post-hoc analyses show differences between females and males on the influence mechanism behind their disclosure intention. Females are more likely to disclose their problems relating to social rela tionship, work and health problems on Facebook than males.
Keywords: Negative emotional disclosure intention | Disclosure behavior | Negative life event | Big five personalities
مقاله انگلیسی
9 Cognitive-affective regulation process for micro-expressions based on Gaussian cloud distribution
فرایند تنظیم عاطفی شناختی برای بیان میکرو براساس توزیع ابری گاوسی-2017
In this paper, we explore the process of emotional state transition. And the process is impacted by emotional state of interaction objects. First of all, the cognitive reasoning process and the micro-expressions recognition is the basis of affective computing adjustment process. Secondly, the threshold function and attenuation function are proposed to quantify the emotional changes. In the actual environment, the emotional state of the robot and external stimulus are also quantified as the transferring probability. Finally, the Gaussian cloud distribution is introduced to the Gross model to calculate the emotional transitional probabilities. The experimental results show that the model in humanecomputer interaction can effectively regulate the emotional states, and can significantly improve the humanoid and intelligent ability of the robot. This model is consistent with experimental and emulational significance of the psychology, and allows the robot to get rid of the mechanical emotional transfer process.Copyright © 2016, Chongqing University of Technology. Production and hosting by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Keywords: Micro-expression | Cognitive-affective regulation | Gaussian cloud distribution | Transferring probability | Emotional intensity
مقاله انگلیسی
10 Shopping with a robotic companion
خرید با یک همراه رباتیک-2017
In this paper, we present a robotic shopping assistant, designed with a cognitive architecture, grounded in machine learning systems, in order to study how the human-robot interaction (HRI) is changing the shopping behavior in smart technological stores. In the software environment of the NAO robot, con- nected to the Internet with cloud services, we designed a social-like interaction where the robot carries out actions with the customer. In particular, we focused our design on two main skills the robot has to learn: the first is the ability to acquire social input communicated by relevant clues that humans provide about their emotional state (emotions, emotional speech), or collected in the Social Media (such as, information on the customers tastes, cultural background, etc.). The second is the skill to express in turn its own emotional state, so that it can affect the customer buying decision, refining in the user the sense of interacting with a human-like companion. By combining social robotics and machine learning systems the potential of robotics to assist people in real life situations will increase, providing a gentle customers acceptance of advanced technologies.© 2017 Elsevier Ltd. All rights reserved.
Keywords:Social robotics | Human Robot Interaction (HRI) | Emotion and Gesture Recognition | Machine learning | Smart retail settings
مقاله انگلیسی
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