Impact of Data Analytics on Everyday Life

Abstract

This paper explores the impact of data analytics in everyday life, focusing on the emerging research gap concerning affected encounters between individuals and their data doubles. Whereas present literature highly emphasizes theoretical and technological aspects of personal analytics, there is a notable lack of attention to the emotional and psychological dimensions of personal analytics interactions. Our study identifies the need for empirical research to investigate how individuals use visualized personal data to reflect on themselves, others, and their everyday lives. By examining affectionate responses, self-perception, and social comparison processes, we aim to provide insights into the emotional implications of personal analytics and their implications for individual well-being and behaviour. Keywords: data analytics, day-to-day life, personal analytics, affected encounters, data double, emotional responses, self-perception, social comparison.