Understanding Consumer Preferences and Technology Readiness for AI-Based Emotional Wellness Apps

Abstract: With the rise of artificial intelligence (AI) in mental health and emotional well-being, AI-based emotional wellness apps have gained significant traction. This research explores consumer preferences, demographic influences, and technology readiness for adopting such applications. By analyzing survey data and statistical findings, we examine how personalized features, age groups, and occupational backgrounds impact the adoption and willingness to pay for these solutions. The findings provide insights into how AI-driven emotional well-being apps can better cater to diverse consumer needs and foster long-term engagement through innovative technologies. Additionally, this study examines how AI-powered interventions contribute to stress management and mental well- being by offering tailored experiences through Augmented Reality (AR), Voice Recognition, and Natural Language Processing (NLP). These technologies enhance accessibility and efficiency in emotional self-care, making wellness applications more effective and inclusive for different user groups.

Keywords: AI-driven wellness, emotional well-being, technology readiness, consumer preferences, augmented reality, voice recognition, natural language processing.