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This study demonstrates that visual quality is an emergent factor in explaining behavioral intention in online shopping, as online retail technology continues to evolve. The researchers develop, and test a model, in augmented reality (AR) and non-AR contexts, explaining the effect of aesthetic appeal of the interface of a mobile retail app and position relevance of a product in the user environment on visual quality of the app. The model explains the influence of visual and service quality on user satisfaction toward the app and the influence of user satisfaction on recommendation intention. The data were collected from 102 mobile app users who were asked to use the view-in-room features on a mobile augmented reality (MAR) app. Another group of 155 mobile app users were requested to search for a product using a typical mobile app search interface. Both groups provided their responses via an online survey. The researchers used partial least squares structural equation modeling (PLS-SEM) to analyze the collected data. Results indicate that the model has superior explanatory power when applied to an AR context. This research also provides key insights for practitioners related to improving the rate of mobile app recommendations by their customers.

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Socially engaged older adults are less likely to decline in health and happiness and have a higher quality of life. Building upon this premise, examination was conducted on the domains of social determinants of health, specifically the social and community context per Healthy People 2030 objectives. These mechanisms of social interaction, in the form of group activities, community engagement, and virtual interactions via email or text message, were assessed using hierarchical regression analysis to find out their association with wellbeing, depression symptoms, and cognition of older adults. The data included a total of 4623 sample of older adults from the National Health and Aging Trend Study (NHATS) Round 8. The results showed that social support explained a 40.3% unique variance on wellbeing. The use of text message and email had a moderating effect on community engagement and self-reported depression level in older adults. Findings suggest that community programs, shared group activities, or technology training workshops can improve social interaction and support cognition and reduce depression in older adults. Directions for future research include examining human behaviors and perceptions and increasing technology training sessions to promote independence of older adults and increase their social connections. In addition, participant involvement in interventions would enhance the possibility of success of such endeavors.

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