Search Results (538)

The development of realistic breast phantoms is critical for the evaluation of imaging systems and quantitative image analysis methods. In this work, breast samples derived from the same digital model were produced using 3D printing technology and evaluated for structural similarity and reproducibility. Four independently manufactured phantoms were imaged using mammography and breast tomosynthesis. Radiomic features were extracted from regions of interest in order to assess inter-phantom variability. The results showed very good agreement between the four printed phantoms. Most first-order and GLCM radiomic features exhibited very low inter-phantom variability, indicating consistent structural and intensity characteristics. Neighborhood-based texture features showed slightly higher variability, reflecting their sensitivity to local structural differences. Fractal and power spectrum analyses also confirmed the high structural similarity of the phantoms. These results indicate that the proposed manufacturing approach can produce reproducible breast imaging phantoms suitable for mammography and tomosynthesis imaging studies, with potential applications in imaging system evaluation and radiomic research. Full article

In recent years, virtual influencers (VIs) have been increasingly used in digital commerce. Despite the rise in VI research, past studies have yet to comprehensively examine the effectiveness of VIs, often focusing only on isolated partial models rather than an integrated framework and boundary conditions that drive consumer responses. This meta-analysis fills this gap by synthesizing 186 effect sizes from 76 studies (N = 64,545) to examine the mechanisms and moderators of purchase intention in VI marketing. The results indicate that human-likeness is a central antecedent that directly and indirectly affects purchase intention through source credibility, customer engagement, and attitude. More importantly, this study challenges prior social proof assumptions by showing that follower size has no significant impact on purchase intention in VI marketing. In addition, purchase intention is independent of a nation’s AI readiness, suggesting a borderless potential for commerce regardless of a country’s technological maturity. This study also examined the moderating effects of product type, consumer age, and uncertainty avoidance culture. Although these moderators showed initial significance, none remained significant after the Benjamini–Hochberg false discovery rate (FDR) correction. Therefore, these effects were viewed as exploratory rather than confirmatory, providing directions for future research. These findings offer new insights for e-commerce managers: success in the metaverse era depends on anthropomorphism and targeted alignment rather than metrics such as follower counts or a nation’s AI readiness. Full article

This study investigates how two key characteristics of AI-enabled chatbots in mobile banking applications—perceived intelligence and perceived anthropomorphism—influence users’ cognitive and hedonic evaluations, namely perceived usefulness, confirmation, and perceived enjoyment, and how these evaluations subsequently shape user satisfaction and continuance intention. Grounded in the Expectation–Confirmation Model (ECM), the study also examines the moderating role of users’ need for interaction with service employees in these relationships. Using a quantitative research design, data were collected through a structured survey from 402 users of AI-enabled mobile banking applications in Türkiye. The proposed model was tested using partial least squares structural equation modeling (PLS-SEM), and moderated mediation effects were analyzed using Hayes’ PROCESS Macro (Model 58). The results reveal that perceived intelligence positively affects perceived anthropomorphism, perceived usefulness, perceived enjoyment, and confirmation, while perceived anthropomorphism further reinforces these effects. Cognitive and emotional evaluations significantly enhance user satisfaction, which in turn strongly predicts continuance intention toward chatbot usage. Moreover, the need for interaction with service employees significantly moderates the indirect effects of perceived usefulness, perceived enjoyment, and confirmation on satisfaction and continuance intention. By extending the expectation–confirmation model with both cognitive and emotional dimensions, this study offers novel insights into user-centered chatbot design in mobile banking and highlights the importance of individual differences in shaping sustained technology use. Full article

As AI-powered learning tools become more common in educational settings, understanding their acceptance mechanisms is increasingly important. This study examines how the design attributes of AI museum guides—anthropomorphism, interactivity, and personalization—are associated with the acceptance intention and perceived learning outcomes among Chinese high school students with prior museum experience. Using structural equation modeling with 324 participants, we test whether these features relate to acceptance through two affective pathways: perceived warmth and anxiety reduction. The results reveal distinct patterns: anthropomorphism shows an indirect-only association with anxiety reduction through perceived warmth; interactivity is associated with anxiety reduction through responsive feedback; and personalization serves dual functions, enhancing both pathways. Anxiety reduction shows strong positive associations with both acceptance intention and perceived learning outcomes. The multi-group analysis shows that most pathways function equivalently across genders, with one exception where anxiety reduction more strongly predicts learning outcomes for females than males. These findings reveal distinct psychological functions within the Chinese educational context: anthropomorphism influences anxiety reduction exclusively through perceived warmth, while personalization and interactivity provide both affective and cognitive support. The implications for AI museum guide design in similar contexts are discussed. The generalizability to other cultural contexts and populations, such as Western students or adult learners, requires further investigation. Full article

In the context of digital tourism development, artificial intelligence has become one of the major techniques for tourists’ information acquisition and interaction in the field of intangible cultural heritage (ICH) tourism. However, whether AI with anthropomorphism elements attracts tourists to visit cultural heritage sites and how AI anthropomorphism design affects visitors’ visit intentions remains unclear. Therefore, based on the stimulus–organism–response (S–O–R) theory, this study proposes an “AI anthropomorphism–AI trust–visit intention” model and investigates the role of AI anthropomorphism in visit intention. In particular, this study tests the effects of perceived intelligence and perceived risk on AI anthropomorphism, as well as the role of AI trust and perceived cultural sustainability on the relationship between AI anthropomorphism and visit intention. With a sample of 478 Chinese respondents who are intangible cultural heritage (ICH) tourists, the hypothesized relationships are tested by employing structural equation modeling. The results show that perceived intelligence exerts a positive effect on AI anthropomorphism, while perceived risk exerts a negative effect on AI anthropomorphism. Moreover, AI anthropomorphism exerts an effect on AI trust, which in turn yields a great influence on visit intention. In addition, further analysis shows that AI type intensifies the effect of anthropomorphism on AI trust, and the relationship between AI trust and visit intention is regulated by perceived cultural sustainability. This study reveals how AI anthropomorphism functions in ICH tourism, and the findings provide practical guidance for advancing intelligent services and giving cultural sustainability top priority in order to support the sustainable growth of ICH tourism. Full article

Understanding how users perceive and attend to the anthropomorphic appearance and empathic responses of artificial intelligence medical conversational agents (AIMCAs) can help reveal the key judgment cues underlying trust formation and use decisions, while also informing interface and dialog design. To this end, this study employs a 3 (appearance anthropomorphism: high, medium, low) × 2 (empathic response: present, absent) within-subject eye-tracking experiment, combined with subjective scales and brief post-task open-ended feedback. During a static prototype viewing task based on hypothetical consultation scenarios, we concurrently recorded trust, behavioral intention, and visual measures for key areas of interest (AOIs; appearance area, conversational content area, and overall interface area). Eye-tracking measures were normalized by AOI coverage proportion to improve cross-AOI comparability. The results show that both anthropomorphic appearance and empathic response significantly increased users’ trust in AIMCAs and their behavioral intention. An interaction between these two types of social cues was also observed, suggesting that when visual embodiment and linguistic style are aligned at the social level, users are more likely to form favorable overall judgments. At the level of visual processing, however, no interaction effect was found, and the eye-tracking measures showed only partial main effects, indicating that subjective synergy does not necessarily correspond to synergistic changes in attentional allocation. Overall, anthropomorphic appearance and empathic response exerted consistent facilitating effects on outcome variables, but displayed different patterns of attentional allocation and information prioritization at the visual level. Accordingly, AIMCA design should emphasize consistency between appearance cues and conversational strategies, optimize users’ initial judgments and interface comprehension, and use intention through verifiable information organization and clear boundary cues. Full article

As tourism businesses increasingly integrate anthropomorphic and AI-impowered technologies into service functions, a key managerial and theoretical challenge is adjusting high-tech performance with high-touch human involvement. Addressing this issue, this paper applied a PLS-SEM algorithmic modeling method to explore how anthropomorphic technological experiences shape guests’ experiential sharing intentions (ESIs) within hospitality service environments. Drawing on social response theory and service experience theory, this research developed and practically evaluated a moderated–mediated model describing how anthropomorphic technological experiences can impact experiential sharing intentions (ESIs). Specifically, the model tested the direct and indirect impacts of anthropomorphic experience on ESI through affective experience (AF_EX) and perceived service innovation (PSI), while evaluating the moderating roles of employee presence and technology identity. The results offered strong evidence to support the developed framework. Anthropomorphic experience can positively impact guests’ affective experience, PSI, and ESI with others. Both AF_EX and PSI can act as significant predictors of ESI and can operate as complementary mediating mechanisms, implying that emotional involvement and innovation-signaling technologies reinforce guests’ advocacy through dual experiential pathways. Notably, the findings revealed a critical boundary setting. Technology identity can amplify the influence of anthropomorphic experience on both AE and PSI, signaling that guests who view technology as part of their self-concept exhibited greater levels of experiential value from human-like operations. By applying PLS-SEM algorithmic modeling to integrate anthropomorphism, perceived innovation, and experiential value within a moderated mediation framework, this paper advanced the theoretical understanding of high-tech–high-touch hospitality experiences and provided practical insights for developing synergistic technology-enabled service contexts. Full article

The increasing adoption of reclined seating postures in modern vehicle interiors challenges the assumptions underpinning current passive safety systems and occupant protection assessment frameworks. While restraint technologies and certification protocols have historically been developed for upright configurations, emerging trends in autonomous driving and comfort-oriented designs promote relaxed postures that fundamentally alter occupant kinematics, loading path, and consequently the injury mechanisms. This review critically synthesizes experimental and numerical studies addressing occupant biomechanics, restraint system performance, and injury risk in reclined seating. Evidence from crash tests using Anthropomorphic Test Devices and Post-Mortem Human Surrogates, alongside high-fidelity numerical Human Body Models, is analyzed to identify consistent trends and methodological limitations. The results highlight increased forward excursion, elevated submarining propensity, and posture-dependent abdominal and lumbar loading as critical consequences of increased seatback recline. Furthermore, this review discusses the effectiveness of adaptive restraint strategies, including active repositioning and modified airbag–belt integration. By identifying existing research gaps and regulatory limitations, this work aims to provide a roadmap for the development of future safety systems that ensure robust protection for all occupants in the era of automated mobility. Full article

Conversational agents increasingly incorporate socio-emotional cues to support more natural and socially engaging digital interactions. Prior research has shown that anthropomorphism and artificial empathy influence user evaluations; however, these dimensions are typically examined as static design features and often in isolation, leaving limited evidence on how users perceive socio-emotional behavior that adapts dynamically during real-time interaction. This study investigates the perception-based evaluation of adaptive socio-emotional behavior in conversational agents using a controlled Wizard-of-Oz design. In total, 72 participants (N = 72) interacted with a simulated agent across four digital communication channels under conditions of high versus low anthropomorphism and artificial empathy, enabling systematic variation in socio-emotional expression while preserving participants’ perception of autonomous system operation. User evaluations were assessed using established perceptual constructs, including trust, perceived reliability, satisfaction, service quality, perceived empathy, and anthropomorphism. The findings demonstrate that conversational agents exhibiting dynamically adaptive anthropomorphic and empathic behavior elicit consistently more positive user evaluations across all measured constructs compared to non-adaptive interaction. Validation analysis using the Godspeed scale confirmed clear differentiation between experimental conditions, highlighting the role of interaction-contingent adaptation relative to static socio-emotional cues in perceived human likeness and positive user responses. These results indicate that user perception can function as a human-centered evaluation layer for assessing adaptive conversational systems, enabling systematic measurement of socio-emotional performance under controlled conditions. More broadly, this study supports the design of adaptive AI systems that leverage real-time socio-emotional feedback to enhance trust, perceived service quality, and behavioral acceptance in digital service environments within a controlled Wizard-of-Oz evaluation context. Full article

The representations of a Buddha flanked on either side by Brahmā and Indra from Gandhāra have long been identified as the iconography of “Entreaty to Teach,” an episode in the Buddha’s life. After he obtained enlightenment, Śākyamuni had planned to enter nirvana immediately but Brahmā and Indra persuaded the Buddha to teach the Dharma for the sake of sentient beings. This subject is quite prominent in Gandhāran Buddhist art. It appears among a group of earliest anthropomorphic representations of the Buddha. It is one of the first events singled out from the Buddha’s life to be represented with the Buddha image; this event does not glorify the Buddha, but rather contaminates his imagery somewhat. In fact, pairing Brahmā and Indra on either side of a main figure became very common later in Gandhāran, art and it also appears in other iconographies. Were these images meant only to represent the narrative of “Entreaty to Teach?” This study reassesses this well-known iconography in both visual and textual traditions. Challenging current identification in the field, the author suggests the possibility that this iconography represents an iconic image of the Buddha that is meant to glorify the Buddha by subordinating the top two Brahmanic gods as his attendants. Full article

Through the combined lenses of ecofeminism, masculinity studies, and critical animal studies, this article examines the cultural functions of animal metamorphosis in two Walt Disney animated feature films, Beauty and the Beast and The Princess and the Frog. It argues that animality operates as a narrative and symbolic space in which dominant gender norms and human–animal hierarchies are temporarily destabilized and reconfigured. Drawing on film analysis, this study shows how the animal figure enables the emergence of alternative masculinities—sensitive, relational, and ecologically attuned—while simultaneously exposing the structural limits of this apparent subversion. Although these films challenge toxic masculinity and propose more egalitarian interspecific relationships, their narrative resolutions ultimately reinstate anthropocentric and heteronormative frameworks by reasserting human centrality and normative romantic closure. By situating Disney’s representations within broader Western dualistic logics of domination (culture/nature, masculine/feminine, human/animal), I demonstrate that animality functions less as an autonomous mode of existence than as a transitional narrative device facilitating human self-transformation. In doing so, this article contributes to current discussions on how culturally mediated representations of animals shape human social imaginaries, ethical frameworks, and understandings of interspecies relationships. Full article

This study examines the psychological mechanisms through which anthropomorphic artificial intelligence (AI) relates to consumer adoption intentions in fragile, low-trust economies. Integrating the Stimulus–Organism–Response framework with the Computers Are Social Actors paradigm, Institutional Trust Theory, and Privacy Calculus Theory, we investigate how human-like AI design shapes cognitive and affective responses within Sierra Leone’s banking sector. Using survey data from 277 banking customers and partial least squares structural equation modeling, we find that AI anthropomorphism exhibits no direct association with adoption intention (β = −0.013, p = 0.760). Instead, its influence is entirely indirect—transmitted in parallel through perceived social presence (β = 0.144, 95% CI [0.062, 0.226]) and trust in the AI system (β = 0.139, 95% CI [0.068, 0.210]). Critically, customer skepticism—shaped by institutional fragility—functions as a boundary condition that substantially attenuates both pathways: among highly skeptical users (+1 SD), anthropomorphism’s conditional effect on social presence becomes non-significant (β = 0.098, p = 0.124) compared to low-skepticism users (β = 0.412, p < 0.001), while its effect on trust is reduced by more than half (β = 0.118 vs. 0.284). These findings identify a critical boundary condition on human-like AI design: in low-trust environments, anthropomorphism operates not as a standalone adoption driver but as a relational amplifier whose efficacy depends on foundational trust and is substantially weakened when skepticism is high. The study challenges universalist assumptions in human–AI interaction research and underscores the need for institutionally sensitive design approaches in fragile economies. Full article

The use of animals in biomedical research and university teaching remains socially sensitive, shaped by ethical concerns, regulations, and public expectations. While animal models are still essential for basic and translational research, society increasingly demands transparency, strong welfare protections, and the development of alternative methods. This study investigated Spanish university students’ attitudes toward the use of animals in basic research, translational research, and educational settings, and examined their acceptance of different species for addressing human health problems. It also assessed how sociodemographic variables, personality traits, empathy, and anthropomorphism relate to these views. The sample included 653 students, predominantly women, heterosexual, and urban residents. Most participants supported the use of animals in research, whereas opinions regarding teaching uses were more divided. Attitudes toward the use of laboratory animals consistently differed by gender and field of study, with men and students in science-related disciplines showing higher acceptance. Of the psychological variables assessed, only anthropomorphism showed moderate negative correlations with support for the use of laboratory animals across all contexts. Species strongly influenced attitudes: companion animals generated the most opposition, primates and livestock elicited mixed responses, and rodents, invertebrates, and aquatic species received the highest support. Overall, students generally accept animal use but vary substantially by species, gender, and academic background. Full article

Chatbots have spurred keen academic interest in the last decade, with researchers focusing primarily on the factors impacting chatbot adoption by consumers. Based on a systematic literature review (SLR) of 202 selected peer-reviewed papers published from 2015 to 2025, this article aims to achieve the following objectives: (1) describe publication trends, including relevant journals and highly-cited papers; (2) analyze the methodological approaches and theoretical models employed in the field; (3) investigate the drivers and barriers to consumers’ adoption of chatbots; and (4) outline directions for future research. Among the findings, the review reveals that perceived usefulness, perceived ease of use, anthropomorphic characteristics, consumer trust in chatbot applications, and the ability of chatbots to emulate a human-like personality are key drivers of chatbot adoption, whereas perceived risks and anxiety are the most reported barriers. This study offers several future research avenues and highlights the importance of considering the role of emotions and personality traits. Full article

This study examines how digital technologies are reshaping customer–brand relationships and contributing to social change in the hospitality sector by humanizing brands in the digital age. Drawing on Social Exchange Theory (SET), the research investigates how brand anthropomorphism—enabled and amplified through digital interfaces—fosters perceived empathy and customer engagement, ultimately driving hotel brand evangelism. Using survey data from 466 customers of five-star hotels in Egypt, the study employs PLS-SEM with WarpPLS v.8 to test the proposed framework. The findings demonstrate that brand anthropomorphism significantly enhances perceived empathy and customer engagement, with perceived empathy partially mediating the relationship between anthropomorphism and engagement. Customer engagement, in turn, partially mediates the effect of anthropomorphism on brand evangelism. Crucially, perceived technological empowerment strengthens both the impact of brand anthropomorphism on customer engagement and the influence of engagement on brand evangelism. These results highlight the pivotal role of digital technologies in transforming customer–brand exchanges from transactional interactions into socially embedded, trust-based relationships. By integrating emotional, relational, and technological dimensions, the study extends SET to digitally mediated service contexts and contributes to broader debates on technology-driven social change. Managerially, the findings offer guidance for hospitality organizations seeking to design empathetic, human-like, and technologically empowering service experiences that foster customer advocacy in the digital era. By conceptualizing brand evangelism as a form of digitally mediated social influence, this study advances understanding of how micro-level customer behaviors contribute to social change in contemporary hospitality service ecosystems. Full article