Interactive mobile news recommender system: A preliminary study of usability factors

2016 11th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP) Pub Date : 2016-10-01 DOI:10.1109/SMAP.2016.7753387

Xiaomeng Su, Özlem Özgöbek, J. Gulla, Jon Espen Ingvaldsen, Arne Dag Fidjestøl

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引用次数: 4

Abstract

Interactive news recommender systems allow the user to steer the received recommendations in the desired directions through explicit interaction with the system. It provides a user experience in between a “lean back and let the news wash over me” experience and an “active search and hunt for specific pieces” experience. On the other hand, this added level of interaction might also be perceived as extra burden from the user side and therefore experience a decreased level of user experience. This paper describes a user study which uncovers factors that influence the usability of interactive news recommender system. The user study is carried out by contrasting an experimental system where interaction is granted with a baseline system where interaction is absent. The study demonstrated that test participants find the ability to actively shape its news recommendation strategy a useful and desirable feature. In addition, time, location and user interest as dimensions for interaction seems reasonable. Lastly, it identifies three factors that are of particular importance when designing interactive news recommender systems.

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交互式移动新闻推荐系统:可用性因素初步研究

交互式新闻推荐系统允许用户通过与系统的显式交互，将收到的推荐引导到所需的方向。它提供了一种介于“向后靠，让新闻冲昏我的头脑”和“主动搜索和寻找特定信息”之间的用户体验。另一方面，这种增加的交互级别也可能被用户视为额外的负担，因此用户体验水平下降。本文通过对用户的研究，揭示了影响交互式新闻推荐系统可用性的因素。用户研究是通过对比一个允许交互的实验系统和一个没有交互的基线系统来进行的。研究表明，测试参与者发现积极塑造新闻推荐策略的能力是一个有用和理想的功能。此外，时间、地点和用户兴趣作为交互的维度似乎是合理的。最后，它确定了设计交互式新闻推荐系统时特别重要的三个因素。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2016 11th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP)

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