Search Results (104)

The rapid proliferation of generative artificial intelligence (GenAI) tools has created an urgent need for instruments to evaluate their educational value as teachers, faculty, administrators, and instructional designers consider adopting them. While rubrics exist to assess mobile applications and virtual reality tools, no comparable instrument has been developed specifically for large language models (LLMs) and AI media generators. The authors reviewed existing evaluation rubrics for edtech and GenAI tools, with edtech meaning digital tools that support ethical teaching to improve student learning and GenAI referring to neural networks that simulate human interactions by contextualizing relevant content based on learning needs. Grounded in Waks’ framework, the resulting Edu-GenAI Rubric comprises multiple dimensions organized into five domains: the Instrumental, Technical, Hedonic, Use, and Beneficial values. Dimensions include accuracy, productivity, personalization, citation, user interface, user experience, sharing, storage, and ethical dimensions encompassing data privacy, data transparency, guardrails, fair use, and algorithmic discrimination. The Edu-GenAI Rubric offers decision-makers with a preliminary, theory-informed instrument for evaluating GenAI tools in educational contexts that can be applied to institutional adoption decisions, developer benchmarking, and future research. 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

Generative Artificial Intelligence (GenAI) has rapidly spread worldwide, driving structural changes and redefining approaches to knowledge. This trend has introduced significant challenges, particularly within higher education, where its adoption and acceptance are crucial for pedagogical transformation. However, the increasing integration of GenAI also raises pressing questions related to sustainability, encompassing both its environmental impact (e.g., energy consumption and carbon footprint of AI models) and social and ethical implications (e.g., responsible use, equity, and digital inclusion). This study investigates the factors influencing the adoption and acceptance of GenAI among higher education students, considering these sustainability dimensions. Using an adapted version of the UTAUT2 (Unified Theory of Acceptance and Use of Technology) model, the research analysed data from 229 students, collected in 2025, employing the Partial Least Squares method. By integrating the sustainability perspective, this work seeks to offer an understanding of the challenges and opportunities that GenAI presents for a more equitable and ecologically conscious educational future. The study demonstrates that habit and performance expectancy are the primary drivers of GenAI adoption among students, suggesting that its integration into higher education should prioritize functional value and ethical habit-building over social or hedonic factors. Full article

This study investigates how innovative social media marketing activities influence consumer inspiration, food pleasure, and behavioral intentions in the context of hedonic food consumption and digital marketing innovation. Data collected from 425 consumers who had tried Dubai chocolate products in Türkiye were analyzed using the partial least squares structural equation modeling (PLS-SEM) method with SmartPLS 4 software. The results indicate that personalization, trendiness, and advertisement dimensions significantly enhance consumer inspiration, whereas entertainment and interaction dimensions show no significant effects. Consumer inspiration positively influences repurchase intention, recommendation intention, willingness to pay more, and food pleasure. Furthermore, food pleasure exerts a significant positive effect on recommendations and willingness to pay more but not on repurchase intention. Mediation analysis revealed that food pleasure partially mediates the relationships between consumer inspiration, recommendation intention, and willingness to pay more, whereas no mediating effect was found for repurchase intention. These findings contribute to innovation and knowledge literature by demonstrating how digital marketing activities foster emotional engagement, enhance consumer experiences, and promote sustainable behavioral intentions in the hedonic food sector. Full article

Despite the growing demand for functional gluten-free (GF) foods, the application of Quercus pubescens acorn flour remains largely underexplored. This study addresses this gap by optimizing GF cookies using response surface methodology (RSM) and prepared with Q. pubescens acorn flour and xanthan gum to balance technological quality, sensory acceptability, and functional value. A three-level full factorial design (FFD) evaluated the effects of acorn flour proportion (0, 50 and 100%), and xanthan gum level (1, 2 and 3%) on physicochemical properties (moisture, water activity, color, texture, and dimensions), sensory attributes using a 9-point hedonic scale, proximate composition, and bioactive and antioxidant properties (total polyphenols, tannins, DPPH, ABTS, FRAP). Linear and quadratic polynomial models adequately described the experimental data (R² = 0.86–0.99; non-significant lack of fit). Increasing acorn flour content significantly intensified cookie darkening, reduced snapping force and bending stiffness, reduced spread factor, and affected sensory perception, while xanthan gum improved structural integrity and dimensional stability. Multi-response optimization identified an optimal formulation containing 41.05% acorn flour and 1.46% xanthan gum, achieving balanced color development (darkness index ≈ 62), bending stiffness (~38 N/mm), and high overall sensory acceptability (~7.8). The optimized GF cookies exhibited a favorable nutritional profile and antioxidant properties, characterized by elevated total polyphenol content and antioxidant capacity, confirming the functional potential of acorn flour. The optimized cookies (containing 41.05% acorn flour) exhibited a six-fold increase in total phenolic content (from 1.63 to 10.08 mg GAE/g) and 8–10 times higher antioxidant capacity (DPPH, ABTS, and FRAP assays) compared to the control, confirming the substantial functional potential of Q. pubescens in gluten-free systems. Full article

Background: Building on our previous systematic review that synthesized eight core sustainable appetitive traits central to food behavior research, the present study extends this framework through an empirical investigation of Generation Z university students in Greece. We have established the conceptual foundation by mapping emotional, sensory, and behavioral regulation drivers of eating behavior, underscoring their relevance for nutrition and sustainability. However, empirical applications of this multidimensional framework to Generation Z remained scarce. Objectives: This study addresses this gap by examining eating behaviors among approximately 800 students at the University of Ioannina using a validated post-pandemic questionnaire. Methods & Results: Results revealed heterogeneity across six domains, with consensus observed only in sensory-driven eating (M = 3.88) and openness to new foods (M = 4.00). Cluster analysis identified two distinct profiles: Exploratory and Hedonic Responders and Emotionally Regulated and Satiety-Oriented Responders. These clusters delineate a novel profile of Generation Z, portraying them as digitally immersed, sustainability-oriented, and emotionally sensitive, yet divided between impulsive exploration and regulated satiety. Conclusions: The study contributes new empirical insights into post-pandemic food behavior. It establishes a comprehensive evidence base for designing culturally sensitive wellness programs and targeted nutritional interventions that support sustainable dietary practices. The continuity between the two papers underscores both theoretical importance and the practical necessity of integrating emotional, sensory, and regulatory dimensions in advancing sustainable eating futures among young adults. Full article

The rapid development and deep integration of digital technology into cultural heritage have created new experiential paradigms for tourists. However, to transform from technological application to behavioral retention, the internal mechanisms through which digital experiences are internalized into stable, sustained behavioral intentions must be elucidated. The influence of perceived value on tourists’ long-term behavioral intentions via place attachment remains largely unexplored. Using the value adoption model (VAM), this study constructs a sequential mediation model of “digital experience–perceived value–place attachment–sustained behavioral intentions” and employs structural equation modeling to examine cross-sectional survey responses from 618 tourists visiting Shandong Museum, China. Findings reveal that the functional dimensions of interactive experience and perceived ease of use significantly enhance perceived value, whereas the sensory dimensions of immersive and hedonic experiences have no significant impact on perceived value—possibly because tourists in cultural heritage contexts prioritize knowledge acquisition over sensory stimulation. Perceived value significantly and positively predicts place attachment and sustained behavioral intentions, and place attachment strongly predicts sustained behavioral intentions (including word-of-mouth recommendation, revisit intention, and sharing). This study extends the VAM to offline cultural heritage digital experience contexts, demonstrates that functional utility is more critical than sensory stimulation in driving value perception, and validates the value attachment–behavior transformation pathway, providing theoretical foundations and practical implications for cultural heritage digitalization management. Full article

Aging involves progressive changes in sensory perception, appetite regulation, and metabolic flexibility, which together affect dietary intake, nutrient adequacy, and health-related outcomes. Meanwhile, current wearable technologies allow continuous, minimally invasive monitoring of physiological and behavioral markers relevant to metabolic health, such as physical activity, sleep, heart rate variability, glycemic patterns, and so forth. However, digital nutrition approaches have largely focused on physiological signals while underutilizing the sensory dimensions of eating—taste, smell, texture, and hedonic response—that strongly drive dietary intake and adherence. This narrative review synthesizes evidence on the following: (1) age-related sensory changes and their nutritional consequences, (2) metabolic adaptation and markers of resilience in older adults, and (3) current and emerging wearable technologies applicable to nutritional personalization. Following this, we propose an integrative framework linking subjective (implicit) sensory perception and objective (explicit) wearable-derived physiological responses into adaptive feedback loops to support personalized dietary strategies for healthy aging. In this light, we discuss practical applications, technological and methodological challenges, ethical considerations, and research priorities to validate and implement sensory–physiological integrated models. Merging together sensory science and wearable monitoring has the potential to enhance adherence, preserve nutritional status, and bolster metabolic resilience in aging populations, moving nutrition from one-size-fits-all prescriptions toward dynamic, person-centered, sensory-aware interventions. Full article

Participation in running events has expanded worldwide, consolidating itself as a form of active leisure and a driver of social and tourism engagement. Although runners’ motivations have been extensively studied, perceived inclusivity, understood as motivation derived from the event’s promotion of equitable participation across gender, age and functional ability, has rarely been examined as a distinct motivational dimension within structural models. This study analyses the motivational structure of participants in the Elche Half Marathon (Spain) and assesses the incremental contribution of inclusivity to traditional motivational frameworks. Based on a sample of 1053 valid responses, a two-stage psychometric and segmentation approach was applied. Exploratory and confirmatory factor analyses (EFA and CFA) were conducted to compare a four-factor model (sport-related hedonism, competition, socialization and digital socialization) with an extended five-factor model incorporating inclusivity. Subsequently, cluster analyses were performed using factor scores derived from each model. The results show that the inclusion of inclusivity improves model fit and increases explained variance, while also generating a more differentiated segmentation structure. The extended model revealed six motivational profiles, some of which displayed continuity with the classical solution, while others were reconfigured when inclusivity was introduced. Overall, the findings indicate that inclusivity functions as a complementary and context-dependent motivational dimension that refines the understanding of participation heterogeneity in running events. Rather than replacing traditional motives, inclusivity contributes incremental explanatory value and enhances the identification of motivational profiles, offering relevant insights for the design and management of mass-participation sporting events. Full article

This study investigates how cultural context shapes memorable tourism experiences at dark-tourism sites by comparing young visitors (aged between 18 to 34) from the Czech Republic and India. The Czech Republic and India were selected for this study because they offer two culturally and historically distinct contexts that allow for meaningful examination of cross-cultural variation in dark tourism experiences. It specifically aims to examine whether and how the seven dimensions of the Memorable Tourism Experience Scale (MTES), hedonism, refreshment, local culture, involvement, knowledge, meaningfulness, and novelty vary across these two cultural settings. A cross-sectional, comparative survey design was employed using a convenience sample of 100 Czech and 108 Indian university students who had previously visited dark-tourism attractions. Data were collected through a self-administered questionnaire based on the MTES, and analyzed using factor analysis and independent-sample t-tests to validate the scale and test for cross-cultural differences. Significant differences emerged for hedonic value and meaningfulness, with Indian participants reporting higher scores on both dimensions, while local culture, involvement, knowledge, novelty, and refreshment did not differ significantly between the two samples. The study contributes to the memorable tourism experience literature by demonstrating that dark tourism represents a hybrid eudaimonic–hedonic experience in which cognitive learning and reflective appraisal coexist with pleasure and arousal, and by showing that cultural context modulates affective and meaning-related dimensions more than cognitive ones. Practically, the findings suggest that dark-tourism managers should priorities interpretive designs that integrate knowledge acquisition with emotionally and morally resonant narratives, while tailoring hedonic and meaning framings to the cultural profiles of target markets. Full article

To facilitate emotionally adaptive built environments, this study investigates how spatial color design interacts with individual personality traits to shape emotional reactions in virtual reality (VR). Based on the stimulus–organism–response (S-O-R) framework, the research explores these dynamics through a rigorous experimental design. Sixty-three participants were exposed to 24 indoor scenes systematically manipulated in three dimensions: color combination, color shape, and area proportion. Multidimensional responses were recorded using self-reported SAM scales (pleasure, arousal, dominance), liking, and the objective physiological indicator skin conductance level (Z-SCL). The data were analyzed using linear mixed models (LMM) to account for repeated measures. The results reveal a functional hierarchy of design elements: area proportion emerged as the dominant structural variable, significantly driving the sense of control (dominance) and physiological arousal, whereas color and shape primarily influenced esthetic hedonic valence. Crucially, the study provides empirical evidence that personality traits act as cognitive filters. For instance, conscientiousness significantly moderated the effect of area proportion on dominance, reflecting a trait-specific need for spatial order. Exploratory analysis further identified that neuroticism acts as a “physiological sentinel” (heightened Z-SCL sensitivity to large-scale stimuli), while extraversion manifests as a “sensation seeker.” These findings suggest that color space cognition is not universal, advocating for more refined, personality-aware design strategies to enhance user comfort and psychological well-being. Full article

The COVID-19 pandemic and its associated economic stressors have profoundly reshaped consumer eating behaviors, presenting an urgent and underexplored challenge for the academic community. This interdisciplinary review critically examines how these disruptions have influenced both food approach and food avoidance patterns, offering a structured analysis of eight key behavioral parameters: Hunger (H), Food Responsiveness (FR), Emotional Overeating (EOE), Enjoyment of Food (EF), Satiety Responsiveness (SR), Emotional Under Eating (EUE), Food Fussiness (FF), and Slowness in Eating (SE). Drawing on recent literature, we highlight significant shifts in these traits—such as heightened hedonic hunger, age-related changes in food preferences, and gender-specific emotional-satiety dynamics—underscoring the complex interplay between emotional states, physiological cues, and behavioral tendencies. Grounded in the systematic examination of peer-reviewed studies in the post-COVID period, this review offers a robust and comprehensive synthesis of current evidence. The novelty of this work lies in its integration of findings into targeted proposition statements for each parameter, visually supported by original flow charts. These culminate in the development of a “Consumers’ Eating Behavior Index”—a conceptual tool designed to guide researchers, healthcare professionals, and policymakers in understanding and responding to post-pandemic dietary transformations. By emphasizing the emotional and psychological dimensions of eating, this index offers a timely framework for designing tailored public health interventions that promote sustainable nutritional habits. This study calls for renewed academic attention to the behavioral consequences of global crises, positioning eating behavior research as a critical frontier in post-COVID recovery and resilience. Full article

Sensory evaluation, based on cognitive and hedonic dimensions, is crucial in developing innovative foods, such as juices made from less popular but highly nutritious fruits. It enables the creation of products with sensory images tailored to consumers’ needs. The research aimed to determine the optimal sensory image of kiwiberry juice blended with ‘Jonagold’ apple juice (10–50%) which would lead to a positive consumer perception. For this purpose, similarities and differences in the sensory profile of kiwiberry juice blended in various proportions with apple juice were evaluated. In hedonic tests, the degree of liking of the products and the analysis of changes in the type and level of consumer emotional reactions (FaceReader) to the juices were performed. To gain a deeper understanding of consumer perceptions, the assessment included expected liking, experienced liking, and purchase intention. It was found that different proportions of apple juice added to kiwiberry juice evoked positive changes in sensory characteristics in the quantitative and qualitative dimensions. The highest sensory quality was noted in the kiwiberry juice with 50% apple juice. Different levels of apple juice addition also conditioned positive changes in affective responses of consumers. Both experienced liking and purchase intention increased with higher levels of apple juice addition (30–50%). The results of emotional reactions reveal that the ranges of variability among examined emotions varied. The most prominent reaction was neutrality, followed by anger, happiness, disgust, and surprise. An affinity of the degree of liking and emotions to specific juices was noted. The liking attributes were related positively to the sensory image of products with higher content of apple juice and inversely related to the properties of kiwiberry juice which caused negative emotions. Full article

Perceived value is a key factor shaping consumer purchase decisions. In the field of functional snack consumption, generational differences in value perception dimensions significantly influence decision-making processes, creating both challenges and opportunities for targeted marketing. Drawing on perceived value theory, this study develops a model examining the impact of perceived value on consumption intention for functional snacks. A questionnaire survey was conducted among Chinese Generation Y and Generation Z consumers, and the data were analyzed using PLS-SEM and fuzzy-set Qualitative Comparative Analysis (fsQCA). The results indicate that self-oriented values (functional and hedonic) exert a significant positive effect on other-oriented values (symbolic and social), and both categories of values positively affect consumption intention. Regarding generational moderation, the effects of functional and hedonic values on purchase intention do not differ significantly across generations; however, symbolic value has a stronger influence on Generation Z, while social value plays a more prominent role for Generation Y. Importance–Performance Map Analysis (IPMA) results further reveal differences in the relative importance and performance of value perception between the two groups. Configuration analysis shows that compared with Generation Y, Generation Z exhibits a higher threshold for strong consumption intention, a lower threshold for weak consumption intention, and greater sensitivity to value deficiency. These findings provide practical insights for functional snack companies to address generational differences and optimize marketing strategies. Full article

The housing prices are crucial to the sustainable development of the real estate market. Nowadays, few academic attempts have focused on the impact of multi-dimensional accessibility on housing prices in a large-scale area. This study utilized machine learning methods to extract indicators of the visual environment from street view images. The indicators were combined with multiple sources of spatiotemporal geographic big data, such as second-hand housing data and online map POIs, to quantify the factors of housing prices. Both the hedonic price model and random forest were constructed, with Shapley additive explanations applied to interpret the results. Our work took Shanghai as a case study, and the results indicate that the random forest exhibits superior performance compared to the hedonic price model. The location accessibility (e.g., distance to the CBD) is paramount, and functional accessibility (e.g., to subways and finance facilities) exhibits nonlinear thresholds. We further uncovered the characteristics of the nonlinear relationship between visual environmental factors and housing prices. Our findings can deepen the understanding of housing price variation in the spatial dimension and provide the theoretical basis for ensuring the optimization of urban planning. Full article