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Multi-agent Systems for Personalized QoE-Management

机译：用于个性化Qoe-Management的多种代理系统

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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, preferences and cultural background. 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 proves that such a decentralized multi-agent QoE-management outperforms an equivalent centralized approach both in terms of end-user satisfaction and service acceptability.
机译：用户满意度正在成为确保任何在线服务成功的关键因素。经验质量是用户所感知的服务质量的主观衡量标准。 QoE已经引入弥合QoS和用户满意度纯技术特征之间的差距。最近关于QoE的研究表明，QoE是具有多种相互关联因素的高度个人和影响，包括用户期望，偏好和文化背景。然而，尽管承诺采用以用户为中心的方法，但大多数现有的QoE管理解决方案忽视了QoE的个人方面，并忽略了用户间差异。在本文中，我们提出了多种子体技术作为实现个性化QoE管理的手段。特别是，我们提出了一个名为Eman的多代理体系结构，其中每个最终用户都是由代表她个人偏好和期望的自主代理体现，并寻求最大化她的QoE。为了评估我们的方法，我们使用Repast，一个多代理模拟平台。初步结果证明，在最终用户满意度和服务可接受性方面，这种分散的多代理商QoE - 管理表现出相同的集中方法。

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