Human Aspects and Perception of Privacy in Relation to Personalization
It addresses privacy adaptation in recommender systems for users, but appears incremental as it builds on existing discussions of human factors and nudging.
The paper investigates how human factors and privacy perceptions affect information disclosure in recommender systems, and explores nudging users toward better privacy decisions while tailoring systems based on cognitive decision-making processes.
The concept of privacy is inherently intertwined with human attitudes and behaviours, as most computer systems are primarily designed for human use. Especially in the case of Recommender Systems, which feed on information provided by individuals, their efficacy critically depends on whether or not information is externalized, and if it is, how much of this information contributes positively to their performance and accuracy. In this paper, we discuss the impact of several factors on users' information disclosure behaviours and privacy-related attitudes, and how users of recommender systems can be nudged into making better privacy decisions for themselves. Apart from that, we also address the problem of privacy adaptation, i.e. effectively tailoring Recommender Systems by gaining a deeper understanding of people's cognitive decision-making process.