How to increase consumer intention to use Chatbots? An empirical analysis of hedonic and utilitarian motivations on social presence and the moderating effects of fear across generations

AI-Powered Mental Health Virtual Assistants' Acceptance: An Empirical Study on Influencing Factors Among Generations X, Y, and Z

STUDY PURPOSE

This study aims to analyze various influencing factors among generations X (Gen X), Y (Gen Y), and Z (Gen Z) of artificial intelligence (AI)-powered mental health virtual assistants.

METHODS

A cross-sectional survey design was adopted in this study. The study sample consisted of outpatients diagnosed with various mental health illnesses, such as anxiety, depression, schizophrenia, and behavioral disorders. A survey questionnaire was designed based on the factors (performance expectancy, effort expectancy, social influence, facilitating conditions, and behavioural intention) identified from the unified theory of acceptance and use of the technology model. Ethical approval was received from the Ethics Committee at Imam Abdulrahman Bin Faisal University, Saudi Arabia.

RESULTS

A total of 506 patients participated in the study, with over 80% having moderate to high experience in using mental health AI assistants. The ANOVA results for performance expectancy (PE), effort expectancy (EE), social influence (SI), facilitating conditions (FC), and behavioral intentions (BI) indicate that there are statistically significant differences (p < 0.05) between the Gen X, Gen Y, and Gen Z participants.

CONCLUSION

The findings underscore the significance of considering generational differences in attitudes and perceptions, with Gen Y and Gen Z demonstrating more positive attitudes and stronger intentions to use AI mental health virtual assistants, while Gen X appears to be more cautious.

Types of Digital-Based Nursing Interventions for Reducing Stress and Depression Symptoms on Adolescents During COVID-19 Pandemic: A Scoping Review

COVID-19 pandemic can cause problems in adolescent mental health such as anxiety, depression, and stress. This is because the distance barrier becomes an obstacle in handling mental health in adolescents. The use of technology has the potential to deal with mental health problems. The purpose of this study was to describe the types of digital-based nursing interventions to reduce symptoms of stress and depression on adolescents during the COVID-19 pandemic. This study used the Scoping Review method. Literature from CINAHL, PubMed, and ProQuest databases. The keywords were adolescent, depression, stress, digital, application, and nursing intervention in English. The criteria for articles in this study were full-text articles, the sample of adolescents, digital-based intervention, articles are original research, and time setting 2018-2022. We found 11 articles discussing digital-based nursing interventions to reduce symptoms of stress and depression in adolescents. There are 2 types of intervention, namely mobile-based intervention, and web-based intervention. The two interventions can be combined to become a method of providing digital nursing interventions that are effective and can reach the entire community. Digital-based nursing interventions are carried out by paying attention to physical, psychological, spiritual, and cultural aspects to improve the goals of nursing care so that they can be significant in reducing stress and depression in adolescents during the Covid-19 pandemic. Digital-based nursing interventions consisting of mobile-based intervention and web-based intervention can improve mental health among adolescents by reducing stress, anxiety, depression, and increasing resilience, well-being, and self-efficacy.