Multi-agent Systems for Personalized QoE-Management
QCMan 2016 (QCMan 2016), Würzburg, Germany, (September 2016)Abstract
User satisfaction is becoming a key factor to secure the success of any
online service. Quality of Experience is a subjective measure of the
service quality as perceived by the user. QoE has been introduced to bridge
the gap between the purely technical characteristics of QoS and user
satisfaction. Recent research on QoE has shown that QoE is highly personal
and influenced by multiple interrelated factors including the user
expectations, her cultural background and preferences.
However, most existing QoE management solutions overlook the personal
aspect of QoE and ignore inter-user differences despite the promise of
adopting a user-centric approach. In this paper, we propose multi-agent
technology as means to achieve personalized QoE-management. In particular,
we propose a multi-agent architecture called EMan where each end-user is
embodied by an autonomous agent that represents her personal preferences
and expectations and seeks to maximize her QoE. To evaluate our approach,
we use Repast, a multi-agent simulation platform. The preliminary results
show that the personalized multi-agent model offers a better subjective QoE
to users than centralized models that ignore inter-user differences.
