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In the information commons (IC) space of library, it is very important to recognize the emotional state of users for better playing the role of IC. In view of this point, this paper aims to discuss the human expression of user emotion.

An emotional state recognition method based on body posture change under video monitoring is proposed. In this method, two parameters are proposed to represent the emotional state of users. Finally, the distribution of users’ overall emotional state is recognized.

It is found that the change of human posture reflects the emotional state of users to a certain extent. The spatial frequency of the user’s average body position change and per capita body position change can reflect the spatial distribution of individual and body position change, respectively.

The method in this paper can effectively overcome the inaccuracy of manual identification of video monitoring images, especially in the case of a large number of users and effectively help the construction of university library IC space and provide a basis for the setting of environmental parameters.

This study aims to investigate the impact of utilitarian, hedonic and social emotional mechanics in gamified digital platforms on the components of value co-creation.

Hypotheses are proposed to test the emotional mechanics of gamification as antecedents of value co-creation in terms of the components of the DART (dialogue, access, risk assessment, transparency) model. The Nike+ gamified digital platform is used as the context for the empirical analysis. The hypothesis testing is performed from the consumer perspective, with data gathered using a questionnaire sent to users of the Nike+ application.

The social emotional mechanics of gamification have a positive impact on the value creation components of dialogue, access, transparency and risk. Utilitarian and hedonic mechanics also exert an impact on the value creation component of access. This study contributes to the value co-creation literature. The findings also reveal the role of customer emotions in embracing gamified platforms in a business-to-business-to-consumer (B2B2C) ecosystem.

Practitioners and consumers in B2B2C ecosystems can gain insight into how to interact in digital gamified platforms and how to co-create value. This study shows the importance of customers’ emotional mechanics when participating in gamified platforms. The results can help organisations ensure the success of their value co-creation processes.

This paper proposes a combination of approaches that have traditionally been studied in isolation, placing emotions at the heart of the value co-creation paradigm.

The purpose of this paper is to study the service responses of service providers to the affective states of business clients and to test whether they have a positive effect on the client's job performance, as well as their satisfaction and bonding to the service provider.

The results are based on a survey of 240 business travellers in Taiwan. Ordinary least square regression is applied to test the relationships.

Statistical tests confirm that service responses to emotional states have a positive effect on customer satisfaction, job performance and bonding. While service responses aimed at easing customers’ emotional problems increase satisfaction and job performance, true bonding is only facilitated through service responses that are centred on affection and social‐emotional support.

The authors investigate the personal service encounter with business customers who are using the service to perform a task. The findings are applicable to services that deal with customers in a similar way.

The paper shows that appropriate service responses to emotional states of customers, including business customers, can lead to higher satisfaction and bonding to the service provider. Service responses enable business customers to perform better.

The authors apply the concept of pre‐consumption emotions of customers to business clients. While pre‐consumption emotional states of customers have been studied much less that the elicitation of customer emotions, in the business‐to‐business sector emotions are seldom addressed. However, the study demonstrates that emotions are an important input factor that clients bring into the service encounter, which service providers can deal with to their competitive advantage.

The purpose of this paper is to explore the type of personalisation services satisfying the needs of cancer websites’ target users, and the influence of their emotional states on website usage intentions.

Three data collection methods were employed. Survey questionnaires were distributed to online health users. Interviews with representatives of the cancer-affected population further explored emotions as stimuli for online cancer-related activities. Finally, availability of personalisation features was evaluated on existing health websites in Bosnia and Herzegovina and the UK.

A clear preference emerged for personalisation on cancer-related websites. There are specific personalisation features the cancer-affected population desires. Interestingly, certain emotions were found to stimulate visits to health websites.

Fighting cancer implies constant support, including from cancer-related websites. It is thus vital to understand the required personalisation, stemming from target users’ actual needs, including the neglected user characteristics, as are emotions for cancer-affected people. This supports emotion-based personalisation.

The paper focusses on the cancer-affected population, and developing a comprehensive understanding of their personalisation needs in online health services. It further shows which emotions influence intentions to use cancer websites. The three concepts combined have not yet been studied, to the best of the authors’ knowledge.

The primary purpose of this study is to examine the relationship between conumers' emotional attachment towards fashion apps and positive behavioral outcomes, such as e-WoM and repurchase intention. The study also aims to explore how e-servicescape, customer experience and perceived value of online shopping influence this relationships.

The study has used quantitative research methods to collect data from a sample of 484 consumers who had previous experience of purchasing using fashion apps. Data were collected from university students enrolled in university in Gujarat, India using an online self-administered questionnaire. The data are analyzed using structure equation modeling to determine the relationships between the variables under investigation.

The results demonstrate relationships between e-servicescape, customer experience and perceived value of online shopping, emotional attachment and the two consumer outcomes: repurchase intention and e-WoM. The study found support for hypotheses 1, 2 and 3, highlighting the influence of e-servicescape, customer experience and perceived value of online shopping in developing emotional attachment with fashion apps. The study also confirmed hypotheses 5 and 6, which suggest that consumers who have a stronger emotional attachment to fashion apps are more likely to intend to repurchase fashion products and engage in positive electronic word-of-mouth behavior for fashion brands.

In today's digital age, fashion apps are vital for fashion retailers to remain competitive and offer their customers a smooth and immersive shopping experience . Given the potential impact of fashion apps on the customer behavior, it is essential to investigate the relationship relationships between e-servicescape, customer experience and perceived value of online shopping, emotional attachment and the two consumer outcomes: repurchase intention and e-WoM in the context of fashion apps. The findings of the study are expected to contribute to the understanding of consumer behavior in the context of fashion apps and e-commerce more broadly. The results may also provide insights into how fashion retailers can improve their online presence and customer experiences to increase emotional attachment and positive behavioral outcomes.

The results of this study have several implications for online retail managers and fashion app developers. The study provides strong support for the idea that the extent to which online customers feel emotionally attached to fashion apps is strongly related to their e-WoM and repurchase intention. Moreover, the results of the study suggest that online retailers who are looking to cultivate emotional connections with consumers through fashion apps should prioritize three key areas: e-servicescape, customer experience and perceived value of online shopping.

Online images can convey sensory-based elements affecting digital users' emotions and digital engagement. The purpose of this study is to investigate which image-based features are more effective in conveying and stimulating particular emotions and engagement towards organizations operating in the food industry.

An online experimental survey was implemented. Two image-based features, narrativity and dynamism were chosen. The stimuli comprise four images, one with high and one with low level of narrativity, and one with high and one with low dynamism, published by a food company on its official Instagram account. Food-identity, emotional appeals and digital visual engagement behaviours were measured. A total of 141 students between 19 and 25 years old of a European University completed the questionnaire. Data was analysed through SPSS software using t-test analysis.

Results show that both narrativity and dynamism impact digital users' emotions and it was found to impact digital visual engagement attitude. Food involvement was measured in terms of food identity impact the effects of specific image-based features on emotions and visual engagement.

The study focuses on only two visual social semiotics features – narrativity and dynamism – and therefore, only partially captures the potentialities of images in digital communications.

This study provides professionals with empirical evidence and insights for effectively planning a visual social media strategy.

This paper contributes to the stream of research in social media communications by investigating the visual social semiotic features of images published online by a food company.

Metaverse technology is of interest to researchers and practitioners in tourism and hospitality. The metaverse offers tourists the capacity to enjoy unprecedented tourism experiences. These opportunities may radically change the tourism and hospitality landscape. This study aims to examine how metaverse experiences affect tourists' cognitive processing, satisfaction and loyalty toward metaverse tourism using the stimulus-organism-response paradigm and cognitive experiential self-theory.

An online survey was undertaken to gather information from 329 respondents who were frequent users of different metaverse applications to meet the study's objectives. Data were evaluated through partial least squares structural equation modelling.

The findings revealed that metaverse experiences, such as immersion, escapism and enjoyment, had a significant positive impact on metaverse organismic experience. Additionally, metaverse cognitive processing positively influenced metaverse tourist responses, including satisfaction and loyalty, with tourist involvement acting as a moderator.

This study provides guidelines for metaverse developers and travel industry professionals to encourage visitor satisfaction and loyalty to metaverse tourism.

Metaverse 技术引起了旅游和酒店业的研究人员和从业人员的兴趣。 元宇宙为游客提供了享受前所未有的旅游体验的能力。 这些机会可能会从根本上改变旅游业和酒店业的格局。 本研究旨在使用刺激-有机体-反应 (S-O-R) 范式和认知体验自我理论 (CEST) 研究虚拟世界体验如何影响游客的认知处理、满意度和对虚拟世界旅游的忠诚度。

为了实现研究目标, 我们开展了一项在线调查, 从 329 名经常使用不同元宇宙应用程序的受访者那里收集信息。 通过偏最小二乘结构方程模型 (PLS-SEM) 评估数据。

研究结果表明, 虚拟世界体验, 如沉浸、逃避现实和享受, 对虚拟世界有机体体验有显着的积极影响。 此外, 虚拟世界的认知处理对虚拟世界游客的反应产生了积极影响, 包括满意度和忠诚度, 游客的参与起到了调节作用。

这项研究为元宇宙开发人员和旅游行业专业人士提供指导方针, 以鼓励游客对元宇宙旅游的满意度和忠诚度。

El Metaverso esta siendo de de interés para investigadores y profesionales en turismo y hotelería. Este avance tecnológico ofrece al turista la capacidad de disfrutar de experiencias turísticas inéditas, generando oportunidades que pueden cambiar radicalmente el panorama de la industria del turismo. Este estudio tiene la intención de examinar cómo las experiencias del metaverso afectan el procesamiento cognitivo, la satisfacción y la lealtad de los turistas hacia el turismo del metaverso utilizando el paradigma de estímulo-organismo-respuesta (S-O-R) y la auto-teoría cognitiva experiencial (CEST).

Se realizó una encuesta en línea para recopilar información de 329 encuestados que eran usuarios frecuentes de diferentes aplicaciones de metaverso para cumplir con los objetivos del estudio. Los datos se evaluaron a través de modelos de ecuaciones estructurales de mínimos cuadrados parciales (PLS-SEM).

Los hallazgos revelaron que las experiencias del metaverso, como la inmersión, el escapismo y el disfrute, tuvieron un impacto positivo significativo en la experiencia organísmica del metaverso. Además, el procesamiento cognitivo del metaverso influyó positivamente en las respuestas de los turistas del metaverso, incluidas la satisfacción y la lealtad, y la participación del turista actuó como moderador.

Este estudio proporciona pautas para los desarrolladores de metaversos y los profesionales de la industria de viajes para fomentar la satisfacción y la lealtad de los visitantes al turismo de metaversos.

Financial technology (Fintech) brings about innovative financial services, such as the possibility of introducing mobile wealth management applications (apps) into consumers' lives. Despite the rapid development of such apps, few studies have focused on users' switching intentions from traditional wealth management services to mobile settings (apps).

Through a survey research method, a total of 378 responses were collected to examine the model. The partial least squares (PLS) technique was employed for data analysis.

To fill this research gap, this paper adopts a push-pull-mooring (PPM) theoretical framework to develop a model for exploring users' switching intentions. According to the empirical results, several push (i.e. perceived inconvenience), pull (i.e. transaction efficiency, perceived personalization and mobile wealth management scenarios) or mooring (i.e. product market expertise and affective commitment) factors are identified that significantly affect switching intention. This study provides theoretical contributions and practical implications for the existing wealth management literature and also offers future research directions.

This study innovatively extends the PPM framework to the traditional and mobile wealth management domains to understand users' switching intentions from offline wealth management services to mobile wealth management apps. The authors uncover several push, pull and mooring factors that are critical for determining users’ switching decisions.

The purpose of this paper is to proposes a forward search algorithm for detecting and identifying natural structures arising in human-computer interaction (HCI) and human physiological response (HPR) data.

The paper portrays aspects that are essential to modelling and precision in detection. The methods involves developed algorithm for detecting outliers in data to recognise natural patterns in incessant data such as HCI-HPR data. The detected categorical data are simultaneously labelled based on the data reliance on parametric rules to predictive models used in classification algorithms. Data were also simulated based on multivariate normal distribution method and used to compare and validate the original data.

Results shows that the forward search method provides robust features that are capable of repelling over-fitting in physiological and eye movement data.

One of the limitations of the robust forward search algorithm is that when the number of digits for residuals value is more than the expected size for stack flow, it normally yields an error caution; to counter this, the data sets are normally standardized by taking the logarithmic function of the model before running the algorithm.

The authors conducted some of the experiments at individual residence which may affect environmental constraints.

The novel approach to this method is the detection of outliers for data sets based on the Mahalanobis distances on HCI and HPR. And can also involve a large size of data with p possible parameters. The improvement made to the algorithm is application of more graphical display and rendering of the residual plot.

Purpose – This paper proposes a new procedure for measuring affective responses during social interaction using facial thermographic imaging.

Methodology – We first describe the results of several small pilot experiments designed to develop and refine this new measure that reveal some of the methodological advantages and challenges offered by this measurement approach. We then demonstrate the potential utility of this measure using data from a laboratory experiment (N=114) in which we used performance feedback to manipulate identity deflection and measured several types of affective responses – including self-impressions and emotions.

Findings – We find warming of the brow (near the corrugator muscle) and cheek (near the zygomatic major muscle) related most strongly to emotion valence and self-potency, with those whose brows and cheeks warmed the most feeling less positive emotion and less potent self-impressions. Warming in the eye area (near the orbicularis oculi) related most closely to undirected identity deflection and to positive self-sentiments. Positive self-views and strong identity disruptions both contributed to warming of the eyes.

Implications – The rigor of contemporary sociological theories of emotion exceeds our current ability to empirically test these theories. Facial thermographic imaging may offer sociologists new assessments of affect and emotion that are ecologically valid, socially unreactive, temporally sensitive, and accurate. This could dramatically improve our ability to test and develop affect based theories of social interaction.