A Structured Analysis of Experience Management Techniques

Abstract

As a field of study, Experience Management spans a set of technology that is becoming increasingly relevant in applications that aim to improve the experiences of their users. Given the youth of the field, however, few attempts have been made to identify and discuss the common elements of systems that manage user experiences as they occur. In this paper, we consider a subset of existing AI experience managers in the context of a shared conceptual framework. We offer directly comparable summaries of the managers that we discuss, and we highlight how some of them use different technologies to perform similar tasks. While many experience managers remain undiscussed, we nonetheless demonstrate that distinct, well-defined components exist across a diverse set of managers, and that a modular method for building new managers might well be within reach.

EM-Glue: A Platform for Decoupling Experience Managers and Environments

“…Unfortunately, it is common among researchers to design and develop EMs that are built directly into the games that are used to evaluate them (Weyhrauch 1997;Mateas and Stern 2003;Nelson et al 2006;Riedl et al 2008;Thue et al 2007Thue et al , 2011Porteous, Cavazza, and Charles 2010;Ramirez and Bulitko 2015;Robertson and Young 2019). The result is that research in the field is fragmented and largely independent, making it hard to draw conclusions that generalize well across the field (Roberts and Isbell 2008;Mori, Thue, and Schiffel 2019). We identify three sub-problems.…”