Technological Anthropomorphism Affecting Generation Z: Foundation of Human-Machine Interaction for Early Detection of Anxiety and Depression

Abstract

Technology has become a fundamental tool for addressing mental health issues such as anxiety and depression. This study examines the role of technological anthropomorphism in facilitating human-machine interaction through five key technologies: Tamagotchi, Real Chatbots (like ELIZA), Advanced Alexa, ChatGPT-4, and Holographic Interfaces. By evaluating these tools across factors such as emotional interactivity, personalization, and privacy, the results reveal that modern technologies like Advanced Alexa, ChatGPT-4, and holographic interfaces offer significantly enhanced capabilities, particularly in interpreting context and recognizing emotions. Holographic technology adds a unique dimension to this analysis by providing a three-dimensional, lifelike representation of the machine. This allows for more engaging and intimate interactions, which can be pivotal in creating more meaningful connections for individuals dealing with mental health challenges. The ability to see a hologram mimic human expressions and movements may foster a deeper emotional response, helping users feel understood and supported. This underscores the importance of ethical considerations in leveraging human-like interaction for mental health applications. A sample of 87 Generation Z participants (47 females and 40 males) from a Private University in Mexico was analyzed to investigate the interaction between these technologies and their potential in detecting anxiety and depression. This demographic provides unique insights into how digital natives perceive and interact with anthropomorphized technology.