HCMar 2, 2021

The Personalization Paradox: the Conflict between Accurate User Models and Personalized Adaptive Systems

arXiv:2103.01771v18 citations
Originality Synthesis-oriented
AI Analysis

This addresses a fundamental conflict in adaptive systems for domains like health and education, but the approach is incremental.

The paper tackles the personalization paradox, where user modeling and personalization conflict, identifying feedback loops and moving targets as key issues, and reports early steps to address these in personalized exergames.

Personalized adaptation technology has been adopted in a wide range of digital applications such as health, training and education, e-commerce and entertainment. Personalization systems typically build a user model, aiming to characterize the user at hand, and then use this model to personalize the interaction. Personalization and user modeling, however, are often intrinsically at odds with each other (a fact some times referred to as the personalization paradox). In this paper, we take a closer look at this personalization paradox, and identify two ways in which it might manifest: feedback loops and moving targets. To illustrate these issues, we report results in the domain of personalized exergames (videogames for physical exercise), and describe our early steps to address some of the issues arisen by the personalization paradox.

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