Abstract
Targeting the influences of different types of bullet screens on user experience, this study aims to investigate and further interpret the emotional needs of users, to perfect the differentiated and personalized interactions with users in bullet screen exchanges. A typical bullet screen video community is extracted with Python as the sample for empirical analysis, which is classified by different emotional expressions of bullet screen interaction groups. Through the investigation and research, this paper summarizes the users’ psychological needs, a service blueprint is introduced that integrates manual selection and big data intelligent recommendation system, which collectively locates users to the ‘bullet screen group’ resembling users’ emotional expression needs. As such, it will further deliver a reasonable platform for users’ emotional expression, enhancing the entertaining experience of video watching and establishing a more friendly bullet screen community.
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Acknowledgments
We thank the Foundation for Young Talents in Higher Education of Guangdong, China [Project Batch No. 2020WQNCX061] for the research support.
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Chen, X., Zhu, X. (2021). User Experience Redesign Based on the Emotional Interaction Needs of Bullet Screen. In: Ahram, T.Z., Falcão, C.S. (eds) Advances in Usability, User Experience, Wearable and Assistive Technology. AHFE 2021. Lecture Notes in Networks and Systems, vol 275. Springer, Cham. https://doi.org/10.1007/978-3-030-80091-8_74
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DOI: https://doi.org/10.1007/978-3-030-80091-8_74
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