Artificial Intelligence (AI) applications in different fields are developing rapidly, among which AI painting technology, as an emerging technology, has received wide attention from users for its creativity and efficiency. This study aimed to investigate the factors that influence user acceptance of the use of AIBPS by proposing an extended model that combines the Extended Technology Acceptance Model (ETAM) with an AI-based Painting System (AIBPS). A questionnaire was administered to 528 Chinese participants, and validated factor analysis data and Structural Equation Modeling (SEM) were used to test our hypotheses. The findings showed that Hedonic Motivation (HM) and Perceived Trust (PE) had a positive effect (+) on users’ Perceived Usefulness (PU) and Perceived Ease of Use (PEOU), while Previous Experience (PE) and Technical Features (TF) had no effect (−) on users’ Perceived Usefulness (PU). This study provides an important contribution to the literature on AIBPS and the evaluation of systems of the same type, which helps to promote the sustainable development of AI in different domains and provides a possible space for the further extension of TAM, thus helping to improve the user experience of AIBPS. The results of this study provide insights for system developers and enterprises to better motivate users to use AIBPS.
With the introduction of “carbon neutrality”, promoting carbon peaking and carbon neutrality has become contingent upon the vigorous development of pure electric vehicles. The development of electric minivans is receiving substantial backing from the government as China’s logistics vehicle market undergoes a transformation. The drivers of electric minivans in China’s Shanxi Province are the objects of this research, whose purpose was to establish a service model based on the four elements of service design and grounded theory to clarify the key factors of user guarantee for electric minivans. We conducted a pilot study using questionnaires, user patterns, user interviews, and a user journey map to determine the user needs for electric minivan user service guarantees. NVivo was used to analyze and code the user interview data qualitatively. The research findings can serve as a resource for entrepreneurs, service providers, managers, and designers of electric minivans.
One of the key issues in sustainable tourism research is the gap between tourists' expressed friendly attitudes towards sustainable behaviors and their actual behaviors. Although many "low-carbon" themed restaurants have emerged during the low-carbon transformation of the Chinese tourism industry, low-carbon food services have not been significantly improved. This study takes food as the entry point to explore tourists' behavior and attitudes towards low-carbon tourism in relation to food. We conducted two interviews. The first interview was a semi-structured contextual interview with 120 tourists who had experiences in food streets, aim-ing to identify the core user group: low-carbon attitude-friendly tourists with high-carbon food behaviors. The second interviews was an in-depth interview based on grounded theory with 29 core users, analyzing the four main reasons for their high-carbon food behaviors and their re-quirements for low-carbon food services in tourism. Based on this, we extracted four design ele-ments for low-carbon tourism food services: low-carbon information show service, low-carbon service product attractiveness improvement, low-carbon food environment atmosphere creation, and service providers' low-carbon behaviors. Through these four service elements, we constructed a low-carbon tourism food service design framework based on the core users' needs, discussed the mechanism of service elements, and provided service design suggestions accordingly. The re-search results serve tourism providers, low-carbon tourism researchers, and designers.
Interactive art is completed with the participation of the audience. Therefore, the artist should consider various design elements to induce audience participation, and these should be designed with an intuitive interface for easy use with simple manipulation. Soundscape is a combination of sound and scape, and it is one of the areas that has been continuously studied in the field of acoustic engineering. The soundscape, which utilizes white noise that can provide comfort, stability and immersion by generating alpha waves among human brain waves, has recently been used in the design of various products and services. This
The Korean government and companies are adopting a digital-based approach to achieve carbon neutrality by transforming their industrial structure (i.e. digital transformation). However, as the demand for contactless online services increases, so does the level of network and data usage, leading to a rapid rise in overall carbon emissions within the service environment. To mitigate these emissions, it is essential to incorporate an environmental perspective into the service provision environment. Given the limited amount of existing scholarly research on the environmental impacts of service improvement tools, this study proposes a toolkit for visualizing carbon emissions associated with customer usage. Specifically, a 'digital carbon journey map' is proposed, which integrates carbon emissions into the existing 'customer journey map'. This proposed framework enables a comprehensive analysis of services, taking into account both environmental considerations and customer satisfaction. Its objective is to provide a guidance for future eco-friendly service design and implementation.
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