ABSTRACT
The rapid advancement of AI technologies and natural language processing has led to the development of sophisticated digital personalities, blurring the lines between human interaction and machine-generated responses. As these digital entities become increasingly prevalent in various applications, understanding their underlying character computing mechanisms becomes crucial. This research delves into the theoretical and practical aspects of character computing, examining its applications in virtual assistants, chatbots, online avatars, and digital companions. The study aims to provide insights into the design, development, and ethical implications of digital personalities. The rise of digital personalities raises ethical concerns about privacy, data security, and the potential for manipulation through personalized interactions. Additionally, the challenge lies in achieving a balance between creating engaging and empathetic digital personalities while avoiding biases and unintentional reinforcement of harmful stereotypes. The primary objective of this research is to analyze the state of character computing in digital personalities, identifying the key technological advancements and their impact on user experiences. By understanding the intricacies of these systems, we aim to propose guidelines for responsible and human-centric design of digital personalities. Through an in-depth analysis, this study reveals that algorithms that process vast datasets, shaping responses to mimic human emotions and expressions, drive character computing in digital personalities. However, it highlights the importance of transparent communication with users to prevent misunderstandings about the true nature of these entities.
Furthermore, the research underscores the significance of continuous monitoring and auditing to ensure digital personalities adhere to ethical standards and user expectations, fostering trust and acceptance in their widespread adoption.
