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To promote the cultural communication and art appreciation of Inscriptions and calligraphy which are important cultural heritages in China, with a broad crowd base and educational appreciation value, by using digital humanities methods and technologies, the paper aims to discuss how to develop a new user-oriented knowledge base according to user needs for inscription rubbings research and appreciation.

The paper investigates user needs and current problems on the basis of status quo and summation of extensive service experience; validates the rationality of requirements and user scenarios with user research methods including focus groups, interviews and behavior observations; then designs and develops the technical solution of data process, knowledge base construction and service platform through experimental research methods based on agile project management.

The paper proposes a new reading mode for browsing and appreciation inscription rubbing works, a diverse knowledge-integrated knowledge organizational structure, a systematic user experience and service guiding framework which can be widely applicable to the development of other cultural heritage knowledge bases. Apart from that, the paper puts forward intelligent service development goals for the future.

The paper proposes a new reading mode with the overall functions and user experience design and development for browsing and appreciation inscription rubbing works, a diverse knowledge-integrated knowledge organizational structure, a systematic user experience and service guiding framework which can be widely applicable to the development of other cultural heritage knowledge bases. Apart from that, the paper puts forward intelligent service development goals for the future.

The aim of the research is to evaluate different modality for product reviews presentation and its impact on users’ performance, purchase intention and enjoyment.

The study utilized an experimental approach with 48 opportunistic participants in three groups (16 users per group). Participants were randomly assigned to experimental conditions to ensure unbiased treatment. Data were collected through controlled interventions or manipulations, with pre-defined measures to assess specific outcomes. Statistical techniques such as ANOVA were employed to analyse the data, allowing for comparisons between experimental variables.

The findings revealed that integrating facial expression avatars and emojis into an e-commerce platform effectively communicates product reviews and ratings. Moreover, the use of animation significantly enhanced user enjoyment. This suggests that visual representations not only convey information effectively but also contribute to a more engaging and enjoyable user experience.

While this experiment offers valuable insights into the impact of different e-commerce presentation layouts on user behaviour, further research could delve deeper into specific aspects such as the influence of individual user characteristics and the long-term effects of layout preferences.

This study contributes original insights by demonstrating the efficacy of facial expressive avatars and emojis in conveying product reviews and ratings within e-commerce platforms. Moreover, it adds value by highlighting the positive impact of animation on user enjoyment. By combining these elements, the research offers a novel approach to enhancing user engagement and understanding of customer feedback in online shopping environments. The findings provide valuable guidance for e-commerce platforms seeking innovative ways to communicate product information effectively and enhance the overall user experience, ultimately benefiting both businesses and consumers.

The present study aimed to explore the consequences of perceived authenticity in artificial intelligence (AI) assistants and develop a serial-mediation architecture specifying causation of loyalty in human–AI relationships. It intended to assess the predictive power of the developed model based on a training-holdout sample procedure. It further attempted to map and examine the predictors of loyalty, strengthening such relationship.

Partial least squares structural equation modeling (PLS-SEM) based on bootstrapping technique was employed to examine the higher-order effects pertaining to human–AI relational intricacies. The sample size of the study comprised of 412 AI assistant users belonging to millennial generation. PLS-Predict algorithm was used to assess the predictive power of the model, while importance-performance analysis was executed to assess the effectiveness of the predictor variables on a two-dimensional map.

A positive relationship was found between “Perceived Authenticity” and “Loyalty,” which was serially mediated by “Perceived-Quality” and “Animacy” in human–AI relational context. The construct “Loyalty” remained a significant predictor of “Emotional-Attachment” and “Word-of-Mouth.” The model possessed high predictive power. Mapping analysis delivered contradictory result, indicating “authenticity” as the most significant predictor of “loyalty,” but the least effective on performance dimension.

The findings of the study may assist marketers to understand the relevance of AI authenticity and examine the critical behavioral consequences underlying customer retention and extension strategies.

The study is pioneer to introduce a hybrid AI authenticity model and establish its predictive power in explaining the transactional and communal view of human reciprocation in human–AI relationship. It exclusively provided relative assessment of the predictors of loyalty on a two-dimensional map.

Informational conflict and uncertainty are common features across a range of sources, topics and tasks. Search engines and their presentation of results via search engine results pages (SERPs) often underpinned by knowledge graphs (KGs) are commonly used across tasks. Yet, it is not clear how search does, or could, represent the informational conflict that exists across and within returned results. The purpose of this paper is to review KG and SERP designs for representation of uncertainty or disagreement.

The authors address the aim through a systematic analysis of material regarding uncertainty and disagreement in KG and SERP contexts. Specifically, the authors focus on the material representation – user interface design features – that have been developed in the context of uncertainty and disagreement representation for KGs and SERPs.

Searches identified n = 136 items as relevant, with n = 4 sets of visual materials identified from these for analysis of their design features. Design elements were extracted against sets of design principles, highlighting tensions in the design of such features.

The authors conclude by highlighting two key challenges for interface design and recommending six design principles in representing uncertainty and conflict in SERPs. Given the important role technologies play in mediating information access and learning, addressing the representation of uncertainty and disagreement in the representation of information is crucial.

The purpose of this paper is to assess the effects of presence on users’ information processing in mediated visualizations using immersive virtual reality (VR) and websites, focusing on information understanding and cognitive load. The impact of user interfaces on users’ perception of presence is also tested.

A between-subjects laboratory experiment using two user interfaces – immersive VR and website – is carried out. It is complemented by a self-administered survey on the participants.

The current results indicate that an immersive VR interface improves tourists’ information processing by producing a heightened sense of presence. The results confirm that presence facilitates tourists’ information processing by increasing information understanding and decreasing cognitive load. Finally, a negative relationship between cognitive load and information understanding is obtained.

VR user interfaces are not only visually appealing but also cognitively optimized. Immersive VR devices can be introduced in the specific sale process of cruise trips through both offline channels (physical stores and travel agencies) and online channels to facilitate tourists’ information processing during the prepurchase phase.

The primary contribution lies in the integration of the theory of presence with two influential information processing frameworks, namely, cognitive load theory and cognitive fit theory. This integration provides a holistic perspective on how user interfaces influence consumer information processing in the unique context of cruise tourism, particularly during the stage of a prepurchase information search.

Avatars, which are used as a technology and marketing tactic, can embody consumer-facing employees and mimic their real-life roles on companies' websites, thereby playing a key role in enhancing the relationships between consumers and brands in the online environment. Academics and practitioners have increasingly acknowledged the significance of the consumer-brand relationship in both traditional and online contexts. However, the impersonal nature of the online environment is considered to be a hindrance to the development of these relationships. Despite the importance of this technology, little attention has been paid to the investigation of the avatar concept from a marketing perspective. This paper explores the nature of the avatar concept, including its main characteristics, dimensions, and conditions as well as the attitudinal and behavioural consequences of avatar users.

Adopting the qualitative design, a taxonomy was developed from interviews. In total, 42 interviews were conducted with current university students. 30 participants participated in the exploratory interviews. A total of 12 interviews were conducted during the in-depth stage based on findings in the preceding research.

Based on the qualitative data analysis, a taxonomy was developed. The idea of the taxonomy is summarized in that different dimensions of the avatar are considered the main base (first phase) of the taxonomy. There are consequential three parts: the attitudinal consequences related to the website; the attitudinal consequences related to the brand; the behaviours towards the brand. These behaviours represent the final phase of the taxonomy.

By developing a taxonomy of using avatars on brands' websites, the authors advance the understanding consumer-brands relationships. Using avatars' verbal interactions helps in shaping consumers' cognitive, affective, attitudinal and behavioural responses and add vital empirical evidence to the increasing body of research and practices involving avatar usage in the interactive marketing area.

A mobile wallet (m-wallet) is a part of financial technology products and is still in the infant stage in Palestine. The technology acceptance model (TAM) formed the basis of the model development, which was extended in the study to include an analysis of how knowledge sharing (KOS), perceived value (PEV), perceived privacy awareness and control (PRI) and perceived security (SEC) influenced the primary TAM components of perceived ease of use (PEU), perceived usefulness (PRU) and intention to use m-wallets among Palestinian users.

This study used questionnaires as its primary data collection method. The questionnaires were distributed via online media, and the data collection period spanned from January 10, 2023, to February 21, 2023. The study received 360 responses from participants. Smart PLS and SPSS v.23 software were used to perform a method test on the collected questionnaire data.

The study’s findings demonstrate the factors influencing Palestinian users’ adoption of m-wallets by extending the Technology Acceptance Model (TAM) to include knowledge sharing, perceived value, privacy awareness and control and security, in addition to the main TAM elements, perceived ease of use (PEU) and perceived usefulness (PU), offering new insights into technology adoption in developing regions and addressing gaps in the literature.

This study has some limitations. First, it is limited because it looks at users’ intentions to use rather than their actual usage. The actual use of an m-wallet should be the topic of further research. Second, rather than focusing on Small and Medium Enterprises (SMEs), this study examined users’ intentions to use m-wallets. Thus, SMEs’ use of m-wallets may be studied in future research. Third, because the study users were from Palestine, the results may not be generalizable. Therefore, additional populations and cultures should be studied in future research. Fourth, the study used a convenience sample of 282 users. As a result, it is not easy to generalize to a sizable population. Future studies should use larger sample sizes or random samples. Finally, this study examined the direct relationship between independent and dependent variables. Future research may consider personal innovativeness and artificial intelligence as potential moderators.

User knowledge sharing can be an important factor driving user intention to use m-wallet. Users can raise awareness of m-wallets by sharing their knowledge and experiences with others about their uses, features and advantages. This is particularly useful in a country like Palestine, where m-wallets are not widely accepted or used. Therefore, m-wallets service providers should improve their services to motivate the users to share their knowledge with others to increase user intention to use. For instance, m-wallet service providers can provide user support programs that assist users in resolving issues, responding to inquiries and offering feedback on the service. Additionally, m-wallet service providers can enhance the user experience of their m-wallet by providing user-friendly interfaces, quick and dependable service and robust security features. By improving the user experience and providing users with a supportive and responsive environment, service providers can encourage users to share their positive experiences with others and increase user intention to use the m-wallet. User knowledge sharing can be an important factor driving user intention to use m-wallet. Users can raise awareness of m-wallets by sharing their knowledge and experiences with others about their uses, features and advantages. This is particularly useful in a country like Palestine, where m-wallets are not widely accepted or used. Therefore, m-wallets service providers should improve their services to motivate the users to share their knowledge with others to increase user intention to use. For instance, m-wallet service providers can provide user support programs that assist users in resolving issues, responding to inquiries and offering feedback on the service. Additionally, m-wallet service providers can enhance the user experience of their m-wallet by providing user-friendly interfaces, quick and dependable service and robust security features.

The widespread adoption of m-wallets is an important area of research, as it has significant theoretical implications for technology adoption. M-wallets provide an easy and secure way to pay without cash or physical cards. Therefore, identifying the factors affecting users’ intention to use m-wallets can help Palestinian m-wallet service providers to develop their marketing strategies. Extending the TAM to include four important factors (knowledge sharing, perceived value, perceived privacy awareness and control and perceived security) has improved our understanding of technology adoption models. The study empirically examines the intentions of Palestinian users to use m-wallets and how this novel technology is used in this area of the Arab world. The results empirically support that these factors strongly affect users’ intentions to use m-wallets. Thus, this study fills the knowledge gap about the factors influencing the use of m-wallets in Palestine and adds to the literature on the user intentions to use new technologies. Finally, this study is one of the first to examine the relationship between knowledge sharing, perceived value, perceived privacy awareness and control, perceived security and technology acceptance models in general and the extended TAM with these factors in a specific m-wallet context.

The preliminary empirical study investigates the factors affecting the use of m-wallets in Palestine by extending TAM with knowledge sharing, perceived value, perceived privacy awareness and control and perceived security as external variables to the model. The findings of this study help to fill a gap in the existing literature by identifying key variables that affect Palestinians’ intentions to use m-wallet. This study also contributes to the increase in knowledge in the area. To date, no studies have explored privacy in terms of awareness, control and knowledge sharing as essential factors that affect users’ intention to use m-wallets in Palestine.

To support digital humanities research more effectively and efficiently, this study develops a novel Knowledge Graph Analysis Tool of People and Organizations (KGAT-PO) for the Digital Humanities Research Platform for Biographies of Chinese Malaysian Personalities (DHRP-BCMP) based on artificial intelligence (AI) technology that would not only allow humanities scholars to look at the relationships between people but also has the potential for aiding digital humanities research by identifying latent relationships between people via relationships between people and organizations.

To verify the effectiveness of KGAT-PO, a counterbalanced design was applied to compare research participants in two groups using DHRP-BCMP with and without KGAT-PO, respectively, to perform people relationship inquiry and to see if there were significant differences in the effectiveness and efficiency of exploring relationships between people, and the use of technology acceptance between the two groups. Interviews and Lag Sequential Analysis were also used to observe research participants’ perceptions and behaviors.

The results show that the DHRP-BCMP with KGAT-PO could help research participants improve the effectiveness of exploring relationships between people, and the research participants showed high technology acceptance towards using DHRP-BCMP with KGAT-PO. Moreover, the research participants who used DHRP-BCMP with KGAT-PO could identify helpful textual patterns to explore people’s relationships more quickly than DHRP-BCMP without KGAT-PO. The interviews revealed that most research participants agreed that the KGAT-PO is a good starting point for exploring relationships between people and improves the effectiveness and efficiency of exploring people’s relationship networks.

The research’s limitations encompass challenges related to data quality, complex people relationships, and privacy and ethics concerns. Currently, the KGAT-PO is limited to recognizing eight types of person-to-person relationships, including couple, sibling, parent-child, friend, teacher-student, relative, work, and others. These factors should be carefully considered to ensure the tool’s accuracy, usability, and ethical application in enhancing digital humanities research.

The study’s practical implications encompass enhanced research efficiency, aiding humanities scholars in uncovering latent interpersonal relationships within historical texts with high technology acceptance. Additionally, the tool’s applications can extend to social sciences, business and marketing, educational settings, and innovative research directions, ultimately contributing to data-driven insights in the field of digital humanities.

The research’s originality lies in creating a Knowledge Graph Analysis Tool of People and Organizations (KGAT-PO) using AI, bridging the gap between digital humanities research and AI technology. Its value is evident in its potential to efficiently uncover hidden people relationships, aiding digital humanities scholars in gaining new insights and perspectives, ultimately enhancing the depth and effectiveness of their research.

This paper aims to propose DisDSS: a Web-based smart disaster management (DM) system for decision-making that will assist disaster professionals in determining the nature of disaster-related social media (SM) messages. The research classifies the tweets into need-based, availability-based, situational-based, general and irrelevant categories and visualizes them on a web interface, location-wise.

It is worth mentioning that a fusion-based deep learning (DL) model is introduced to objectively determine the nature of an SM message. The proposed model uses the convolution neural network and bidirectional long short-term memory network layers.

The developed system leads to a better performance in accuracy, precision, recall, F-score, area under receiver operating characteristic curve and area under precision-recall curve, compared to other state-of-the-art methods in the literature. The contribution of this paper is three fold. First, it presents a new covid data set of SM messages with the label of nature of the message. Second, it offers a fusion-based DL model to classify SM data. Third, it presents a Web-based interface to visualize the structured information.

The architecture of DisDSS is analyzed based on the practical case study, i.e. COVID-19. The proposed DL-based model is embedded into a Web-based interface for decision support. To the best of the authors’ knowledge, this is India’s first SM-based DM system.

This article introduces the “YouWalk-YouReclaim” mobile application as a transformative tool aimed at co-assessing and enhancing campus environments in a post-pandemic context. It seeks to address the need for inclusive, dynamic and technology-driven spaces within university settings.

The study employs a comprehensive assessment framework through a case study at Northumbria University, Newcastle. It involves over 100 students from diverse fields who utilised the application to evaluate significant areas on campus, such as Student Central, Northumberland Road and the Northumbria Library. The methodology places emphasis on direct user engagement and the use of the application’s inbuilt-image library and visual documentation features.

The application effectively evaluated the functionality, spatial dynamics and user experiences across various campus spaces. Key findings include the importance of adaptability, personalised spaces and enhanced wayfinding to meet the evolving needs of the university community. The study also noted the potential of the app to facilitate multidimensional assessments and support user-centric improvements.

The findings suggest that institutions can leverage technology like the “YouWalk-YouReclaim” app to better understand and optimise their campus spaces, fostering more responsive, user-focused and sustainable environments. The study advocates continuous technological enhancements and user-centred assessments to cultivate efficient and enriching campus experiences.

This study is novel in its integration of digital technology with user-centred approaches to assess and enhance campus environments. By enabling real-time feedback and inclusive participation, “YouWalk-YouReclaim” exemplifies an innovative approach to campus space management.