At a time when the population is aging and the digital divide among older adults is becoming increasingly prominent, the research on the smartphone use behavior of the older adult in China is slightly insufficient. Therefore, this study aims to develop a smartphone acceptance model for older adults in China to predict the factors of their behavioral intention to use smartphones. Using Stimulus-organism-response (SOR) theory as the framework, planned behavior theory, self-efficacy theory and technology acceptance model as the theoretical basis, and employed a mixed quantitative and qualitative research approach to analyze the data from 244 older adults using structural equation modeling. The results show that technology anxiety, subjective norms, self-efficacy, perceived usefulness, facilitating conditions, and perceived ease of use had significant effects on the behavioral intention smartphones among older adults. In addition, perceived usefulness was directly influenced by subjective norms and perceived ease of use, facilitating conditions significantly influenced perceived ease of use and self-efficacy, and subjective norms and self-efficacy significantly affect technology anxiety. This study expanded the applicability of SOR framework, further expanded the technology acceptance model, and enriched the theory of smart phone use behavior of older adults users. The results of this study provide a valuable theoretical framework for the study on older adults users’ behaviors and have implications for the design and marketing of smartphones with high acceptancy from older adults.

As a currently emerging technology and an emerging intelligent mode of transport, autonomous vehicles (AVs) with lots of potential advantages need attention in terms of acceptability of their users. This research incorporates three psychological factors of perceived trust, perceived value, and perceived enjoyment into the technology acceptance model, and explores the influence of these factors on the potential use intention of AVs users. In this study, the questionnaire data from 232 participants were analysed, and the structural equation model test study model was adopted, and nine hypotheses proposed in this study were verified. The results show that perceived enjoyment, perceived trust, perceived usefulness, and attitude have a direct positive impact on users’ usage intentions. Perceived value, perceived usefulness, and perceived ease of use have a direct positive impact on user attitudes. In addition, perceived ease of use has also been shown to directly affect perceived usefulness. This study constructs and demonstrates a model of autonomous vehicle acceptance. This model can be used for user acceptance research of unmanned vehicles. The research expands the theory of technology acceptance model and its applicable fields, and enriches the theory of user research on unmanned vehicles. This study provides predictors of AVs acceptance for AVs designers, automakers, automotive policy makers, and related practitioners. Help them make actionable autonomous vehicle-related decisions to promote high-acceptance autonomous vehicle design and user intent for autonomous vehicles.

In the current severe aging of the population, the problem of "digital divide" of the elderly has become increasingly prominent, and the elderly market represents a vast demographic that is increasingly becoming an important customer segment for mobile shopping in the future. However, there is currently insufficient attention given to the research on mobile shopping behavior among older adults. This study tries to answer what are the driving factors of mobile phone shopping behavior among the elderly? The purpose of this study is to analyze the factors that drive the elderly’s mobile phone shopping behavior, and to establish a mobile phone shopping acceptance model for the elderly to predict the factors of the elderly’s behavioral intention of using smart phones. Based on the second edition of Unified Theory of Acceptance and Use of Technology theory (UTAUT 2), this study proposed a mobile phone shopping acceptance model for the elderly. The study collected valid data from 389 Chinese elderly people through questionnaires and analyzed them using structural equation models. The results showed that utilitarian, anxiety, trust, performance expectancy, effort expectancy, social influence, facilitating conditions and habit directly impact the older adults’ intention to engage in mobile shopping. Additionally, facilitating conditions, habit and the older adults’ intention to engage in mobile shopping act as driving factors for actual use behavior. This study further expands the UTAUT theoretical model, provides a theoretical basis for the research of mobile shopping behavior of the elderly, and enricues the application groups and fields of the UTAUT theoretical model. The results of this study provide inspiration for the development, design and marketing of age-appropriate mobile shopping products, and contribute to the realization and further adoption of age-appropriate mobile shopping, and also contribute to promoting the active aging of the elderly.

Against the realistic backdrop of the COVID-19 pandemic and an aging population, emerging robot technology provides a new path for the development of high-quality hotel service. However, little is known about elderly customers’ acceptance and use of hotel service robots. This study explores factors that affect elderly customers’ acceptance and use of hotel service robots. From the perspective of perception and emotion, based on the technology acceptance model and quality service theory, a hotel service robot acceptance model was constructed for this study, and a structural equation model was used to analyze the data from 218 interviews. The results show that empathy, perceived value, perceived usefulness and perceived ease of use directly affected the elderly customers’ intention to use robots. Perceived trust indirectly affected the use intention through perceived usefulness and perceived ease of use. This study provided a theoretical basis for user behaviors regarding hotel service robots and provided guidance for the research and development of hotel service robots and the marketing promotion of hotel managers, which would promote the healthy development of service robots and related industries, such as the hotel service industry.

The success of unmanned car, an emerging tool of transportation with so many advantages, depends to a large extent on its user acceptability. Potential designers are both the decision makers of driverless car design and the users of driverless cars. This study aims to explore the influencing factors of the potential designers’ intention to use unmanned cars. Based on the theory of Technology Acceptance Model (TAM), this study further expanded the TAM by incorporating perceived trust, perceived enjoyment and self-efficacy, so as to explain and predict potential designers’ intention to use unmanned cars. The questionnaire is determined through theoretical literature, pre-tests, etc., and the Structural Equation Model is used to analyze the data of 202 valid survey samples to investigate the influencing factors of the willingness to use unmanned vehicles. The results show that potential designers’ intention to use unmanned cars is positively affected by perceived trust, perceived enjoyment, perceived usefulness and perceived ease of use, and perceived trust has a positive effect on perceived ease of use, self-efficacy and perceived ease of use also have a positive effect on perceived usefulness. The findings of this study can provide designers and developers of unmanned cars, policy makers and implementers with guidance in the follow-up design, policy formulation and advertising of unmanned cars.