Background: Tourism consumption is a topic with heated debates in tourism research, and pricing tourism products is a crucial task for tourism managers. Different types of tourist attractions offer different experiences to tourists, which affect their price perceptions and purchase decisions. Methods: This study combined questionnaires and event-related potentials (ERPs) measures to explore the magnitude of psychological conflict and the degree of emotional arousal that consumers experience when faced with different prices of goods in different scenic types. Results: The questionnaire results showed that attraction type influenced consumers’ price perceptions and that consumers were willing to pay higher prices for products in attractions. The ERP results implied that in the early stage of cognition, attraction type did not affect consumers’ perceptual processing, while price information attracted consumers’ cognitive attention. In the late stage of cognition, attraction type, and price information jointly influenced consumers’ decision-making, and consumers tended to accept high prices of products in entertainment attractions and cultural attractions, but consumers were more sensitive to the price of products in cultural attractions and less tolerant to price increases. Conclusion: The study elucidated how price information influenced consumers’ purchase decisions of tourism products at different stages of the dual-process theory, which can assist tourism managers in devising different pricing strategies and positioning strategies based on the attributes of attractions, to enhance product sales and revenues. This would further the vision of the World Tourism Organization (UNWTO) of “tourism fostering economic development”.

Green consumption is a crucial pathway towards achieving global sustainability goals. Product-oriented green advertisements can effectively stimulate consumers’ latent needs and convert them into eventual purchasing intentions and behaviors, thereby promoting green consumption. Given that neuromarketing methods facilitate the understanding of consumers’ decision-making processes, this study combines prospect theory and need fulfillment theory, employing event-related potentials (ERPs) as measures to explore changes in consumers’ cognitive resources and emotional arousal levels when confronted with green products and advertising information. This enables inference regarding consumers’ acceptance of purchasing and their psychological processes. Behavioral results indicated that message framing influences consumers’ purchases, with consumers consuming more green in response to negatively framed advertisements. EEG results indicated that matching positive framing with utilitarian green products was effective in increasing consumers’ cognitive attention in the early cognitive stage. In the late stage of cognition negative frames stimulated consumers’ mood swings more, and the influence of product type depended on the role of message frames, and the consumption motivation induced by the product, whose influence was overridden by external evaluations such as message frames. These research findings provide an explanation for the impact of frame information on consumers’ purchasing decisions at different stages, assisting marketers in devising diverse promotional strategies based on product characteristics to foster the development and practice of green consumption. This will further embed the concept of green consumption advocated by organizations such as the United Nations Environment Programme (UNEP), World Wildlife Fund (WWF), and Greenpeace into the public consciousness.

Green consumption is expected to become a new driving force for sustainable economic growth. The production cost of green products leads to the existence of a green premium, which affects the willingness to pay for green consumption. Moreover, willingness to pay is influenced by the product’s own attributes, such as its hedonic and utilitarian attributes. Our study used the event-related potentials (ERPs) technique to investigate how product attributes and premiums affect information processing and subsequent decision-making by comparing consumers’ acceptance of hedonic and utilitarian green products with different levels of premiums. Behavioral results indicated that consumers were more willing to pay premiums for utilitarian attributes than for hedonic attributes. ERPs results showed that hedonic attributes induced a greater P2 component, suggesting that price increases for hedonic products elicited more cognitive attention in the early cognitive stage and that the high premium condition did not match the hedonic attributes. In the late cognitive stage, where the utilitarian attribute induced higher N4, the consumers used the green consumption concept as a reason to reduce the negative emotions generated by the hedonic attribute and thus were more willing to accept the green premium for the hedonic product. The findings can be used to explain the psychological and neural activities of consumers at different stages when faced with the degree of product attribute-premium and help companies optimize their pricing strategies by using green products’ attributes.

As the prevalence of generative artificial intelligence (GenAI) in the service sector continues to grow, the impact of the language style and recovery strategies utilized during service failures remains insufficiently explored. This study, grounded in the theory of social presence and dual-process theory, employed a mixed-method approach combining questionnaire surveys and event-related potential (ERP) experiments to investigate the effect of different language styles (rational vs. humorous) and recovery strategies (gratitude vs. apology) on users’ willingness to forgive during the GenAI service recovery process. It further delves into the chained mediating role of perceived sincerity and social presence in this process. The findings revealed that a humorous language style was more effective in enhancing users’ willingness to forgive compared to a rational style, primarily through the enhancement of users’ perceived sincerity and sense of social presence; recovery strategies played a moderating role in this process, with the positive impact of perceived sincerity on social presence being significantly amplified when the GenAI service adopted an apology strategy. ERP results indicated that a rational language style significantly induced a larger N2 component (cognitive conflict) in apology scenarios, while a humorous style exhibited higher amplitude in the LPP component (positive emotional evaluation). This research unveils the intricate relationships between language style, recovery strategies, and users’ willingness to forgive in the GenAI service recovery process, providing important theoretical foundations and practical guidance for designing more effective GenAI service recovery strategies, and offering new insights into developing more efficacious GenAI service recovery tactics.

Background: With the rapid expansion of the generative AI market, conducting in-depth research on cognitive conflicts in human–computer interaction is crucial for optimizing user experience and improving the quality of interactions with AI systems. However, existing studies insufficiently explore the role of user cognitive conflicts and the explanation of stance attribution in the design of human–computer interactions. Methods: This research, grounded in mental models theory and employing an improved version of the oddball paradigm, utilizes Event-Related Spectral Perturbations (ERSP) and functional connectivity analysis to reveal how task types and stance attribution explanations in generative AI influence users’ unconscious cognitive processing mechanisms during service failures. Results: The results indicate that under design stance explanations, the ERSP and Phase Locking Value (PLV) in the theta frequency band were significantly lower for emotional task failures than mechanical task failures. In the case of emotional task failures, the ERSP and PLV in the theta frequency band induced by intentional stance explanations were significantly higher than those induced by design stance explanations. Conclusions: This study found that stance attribution explanations profoundly affect users’ mental models of AI, which determine their responses to service failure.

Cultural landscapes in World Heritage cities are attracting a growing global tourist population. Given the limitations of self-report methods in capturing tourists’ immediate and deep perceptions, and the lack of comprehensive investigation into the cultural types and naturalness of landscapes, this study aims to investigate how cultural landscape types influence tourists’ recommendation intention through the mediating roles of place attachment and perceived restorativeness while examining the moderating effect of landscape naturalness. Integrating Place Attachment Theory (PAT), Attention Restoration Theory (ART), and the Associative–Propositional Evaluation Model (APE), three studies were conducted using behavioral and neurophysiological approaches. Study 1, a scenario-based experiment, revealed that high-culture landscapes enhance recommendation intention via place attachment, with the effect of perceived restorativeness being stronger under low naturalness conditions. Study 2, an event-related potential (ERP) experiment, showed that landscapes with low culture and low naturalness elicit stronger emotional responses, as indicated by heightened P2 and LPP amplitudes. Study 3 demonstrated the efficacy of a Decision Tree model in classifying landscape naturalness based on EEG features. This study deepens the understanding of the complexity of tourist experiences in cultural heritage sites, provides new evidence for the application of Place Attachment Theory in tourism contexts, and offers scientific foundations and practical implications for optimizing landscape design in heritage sites, enhancing tourist experiences, and exploring brain–computer interface applications in the tourism field.