ABSTRACT
As technology continues to advance, our interactions with digital platforms and devices have become increasingly pervasive and integral to our lives. The emergence of social media, virtual reality, and artificial intelligence has led to the development of new avenues for personal expression and communication. The digital landscape offers opportunities for individuals to curate and project their personalities in unique ways, leading to the formation of digital personalities. This chapter focuses on exploring the intersection of technology, personality, and digital environments, examining the various facets of digital personality construction. It investigates the role of sensing architecture, encompassing sensors, data collection methods, and algorithms, in capturing and interpreting user behavior, emotions, and preferences in the digital realm. The scope also encompasses the ethical implications, privacy concerns, and societal impacts associated with the utilization of sensing architecture for digital personality analysis. The rapid proliferation of digital platforms raises questions about the authenticity and accuracy of digital personalities and their alignment with individuals' offline personas. Privacy concerns arise due to the extensive data collection and analysis involved in building and maintaining digital personalities. The potential for algorithmic biases and the lack of transparency in sensing architecture pose challenges to the fair and unbiased representation of individuals' digital personalities. The aim of this chapter is to provide a comprehensive understanding of how sensing architecture plays a crucial role in shaping and analyzing digital personalities. It seeks to explore the ethical considerations and implications associated with the collection, interpretation, and use of personal data for digital personality construction. By examining the challenges and opportunities presented by sensing architecture, this book aims to contribute to the development of responsible and inclusive digital personality frameworks. Sensing architecture enables the collection of vast amounts of behavioral and contextual data, offering insights into users' digital personas and preferences. The analysis of this data through algorithms and machine learning techniques facilitates the creation of personalized experiences, tailored recommendations, and targeted advertisements. However, the potential for unintended consequences, such as privacy breaches and algorithmic biases, necessitates a careful examination and regulation of sensing architecture to ensure ethical and fair digital personality representation.
