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arXiv 2602.15839cs.HCcs.SE
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EmoTrack:一种促进用户反思其在线行为的应用

EmoTrack: An application to Facilitate User Reflection on Their Online Behaviours

University of Bristol(布里斯托大学)

Ruiyong Zhang

AI总结:

EmoTrack是一款帮助年轻人反思其在线行为的多平台应用,通过记录在线活动并培养积极的在线参与策略,促进用户对自身情绪影响的自我认知。

摘要:

随着互联网的迅速发展,所有在线活动对人类心理健康都有正负两方面的影响。在线参与是复杂的,努力调节在线使用面临区分有益和有害内容及行为的挑战。一种替代方法是帮助年轻人发展管理在线安全所需技能,同时保留在线互动的好处。本论文介绍了整个开发过程和评估结果,介绍了一个名为EmoTrack的多平台应用,旨在帮助年轻人反思其在线行为。它被开发用于记录他们的在线活动,并培养更积极和有意识的在线参与策略。EmoTrack是一种个人信息学系统,旨在帮助人们跟踪和反思他们对YouTube视频的参与。该系统通过13名参与者进行了评估,并发现EmoTrack能够帮助他们反思视频观看行为及其对情绪的影响,报告了从R0到R3的不同层次的反思。

英文摘要:

With the rapid growth of the internet, all online activities can have both positive and negative effects on human mental health. Online engagement is complex and efforts to regulate online use face challenges in distinguishing between beneficial and harmful content and behaviours. An alternative approach is to help young people develop the skills they need to manage online safety while preserving the benefits of online interactions. This dissertation presents the entire development process and evaluation of an multi-platform application, called EmoTrack that aims to help young people reflect on their online behaviour. It was developed to record their online activities and cultivate strategies for more positive and mindful engagement online. EmoTrack is a personal informatics system, and it is designed to help people track and reflect on their engagement with YouTube videos. The system was evaluated with thirteen participants and it was found that EmoTrack can facilitate them to reflect on their video watching behaviour and the impact on their mood, with reports of different levels of reflections from R0 to R3.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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