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Challenges of using personal data to drive personalised electronic programme guides

机译:使用个人数据来驱动个性化电子节目指南的挑战

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摘要

Media researchers are adopting personalisation in diverse ways to deliver increasingly context-sensitive and customised media experiences. This paper explores user attitudes towards a personalised Electronic Programme Guide which tailors media recommendations based on users’ personal data. We used scenario based exploration enabled by the use of probes to convey the functionalities of data-driven Personalised EPGs and to facilitate user discussions around its potential use. Users preferred personalised EPGs over current popular EPGs but expressed a significant lack of trust in the personal data collection that drives personalisation. Users appreciated the functionalities afforded by personalisation of media but were apprehensive about the implications of the personal data being collected about them, particularly in the context of their homes. This calls for the need to design future personalised media experiences that help enhance trust in these socio-technical settings.
机译:媒体研究人员正以多种方式采用个性化设置,以提供对上下文更敏感的个性化媒体体验。本文探讨了用户对个性化电子节目指南的态度,该指南根据用户的个人数据量身定制媒体推荐。我们使用了基于场景的探索,该探索通过使用探针来传达数据驱动的个性化EPG的功能,并帮助用户围绕其潜在用途进行讨论。与当前流行的EPG相比,用户更喜欢个性化的EPG,但他们对推动个性化的个人数据收集严重缺乏信任。用户赞赏媒体个性化提供的功能,但对收集的有关他们的个人数据的含义感到担忧,尤其是在他们的家中。这要求设计未来的个性化媒体体验,以帮助增强对这些社会技术环境的信任。

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