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Contextual aspects of typical viewing situations: a new perspective for recommending television and video content

机译:典型观看情况的上下文方面:推荐电视和视频内容的新视角

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In this paper, we present a better understanding of the contextual aspects that determine TV and video viewing situations in the home. The results can be used to design recommender systems algorithms and interfaces for TV and video content that better fits with different viewing situations in the home. This is achieved by taking into account these typical viewing situations and the respective manifestations of contextual factors. In a first, ethnographic, study with 12 households to better understand everyday viewing practices, we obtained insights into the relation between the type of content and the amount of attention paid, the type of content and planned versus spontaneous behaviour, the role of the structure of the household, and the way people discover content. In a second, multi-method, study with seven households, we identified seven typical viewing situations and elaborated on how four important contextual factors-time, mood, content and viewers-constitute these viewing situations or experiences in the home. After combining the results from both studies, two additional contextual aspects were added: content delivery type and viewing mode. The insights from these studies allow us to suggest opportunities for the design of recommender system algorithms that take into account the four contextual aspects and to formulate implications for the design of recommender interfaces.
机译:在本文中,我们对确定家庭中电视和视频观看情况的上下文方面有更好的理解。结果可用于设计电视和视频内容的推荐系统算法和接口,以更好地适应家庭中的不同观看情况。这是通过考虑这些典型的观看情况和上下文因素的相应表现来实现的。在第一次的民族志研究中,我们与12个家庭进行了深入研究,以更好地了解日常观看习惯,我们深入了解了内容类型和所支付的注意量,内容类型以及计划与自发行为之间的关系,结构的作用以及人们发现内容的方式。在第二项针对七个家庭的多方法研究中,我们确定了七个典型的观看情况,并详细说明了四个重要的背景因素(时间,情绪,内容和观众)如何构成这些观看情况或在家中的体验。合并两项研究的结果后,添加了两个附加的上下文方面:内容交付类型和查看模式。这些研究的见解使我们能够为设计推荐系统的算法提供机会,这些算法考虑了四个上下文方面,并提出了对推荐接口设计的启示。

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