科研成果 by Year: 2019

2019
J. Lai, Y. Han, and P. Zhang, “Argumentation model of WeChat group chat: Evidence from content analysis with inductive coding,” in Proceedings of the Association for Information Science and Technology, 2019, vol. 56, no. 1, pp. 699-700. 访问链接Abstract
ABSTRACT Argumentation, the act of defending one's inherent knowledge or views through speech expression, is a kind of widespread information expression and communication behavior. In this poster, we aim to explore the characteristics and patterns of argumentation in social media to examine basic rules the patterns follow by conducting content analysis of the transcript of a WeChat Group Chat. We build a theoretical model of argumentation behavior in mobile social media using the inductive coding and find that social media has a great influence on argumentation.
L. Tong, H. Lin, and P. Zhang, ““I don't understand it so it can't be good”: Users' acg domain expertise and perceived quality of video tags,” in Proceedings of the Association for Information Science and Technology, 2019, vol. 56, no. 1, pp. 780-782. 访问链接Abstract
ABSTRACT Tag quality is an important factor to the success of social tagging systems and platforms. Users' domain expertise may influence they perceive tag quality. This study aims to explore how users of different domain experience (frequent user, occasional user, and non-user) perceive the quality of the same tags. We examined an online video community, Bilibili, which specializes in Anime, Comic and Games (ACG) subculture. We asked 60 users to watch 15 videos and rate the 95 tags of these videos, and found that: 1) Users with more domain expertise give higher ratings for tags' relevance to the videos and their retrieval value; 2) Occasional users have the lowest understandability rating, followed by non-users, and frequent users; 3) users think high-frequency tags are less suitable for retrieval. These results may provide insights to high quality tag selection for personalized recommendation and retrieval.
张鹏翼, 王汉桢, 刘鸿彬, and 刘畅, “信息管理学科新兴职业研究——以用户体验相关职位为例,” 图书与情报, no. 06, pp. 25-34, 2019.AbstractPKU 
文章以用户体验这一新兴领域为例,分析国内外信息管理学科新兴职业要求和发展的异同和趋势。通过调研国内外三个招聘网站对用户体验相关岗位的职位描述,从岗位职能、知识和技能、能力、学历要求等方面,分析这一新兴职位的特点结果表明对于信息管理学科在诸如用户体验这样的新兴技术领域的人才培养有一定启示。信息管理学科应该在塑造这些新兴职业中起到更为重要的作用。
J. An, Y. Na, and P. Zhang, “How do parents of children with ASD use information grounds to seek for ASD‐related information?,” Proceedings of the Association for Information Science and Technology, vol. 56, no. 1, pp. 10-20, 2019.
J. Zhou and P. Zhang, “Examining the Influence of Visual Stimuli and Personal Characteristics on Users' Willingness-to-Wait Time and Waiting Patterns,” in 21ST INTERNATIONAL CONFERENCE ON HUMAN-COMPUTER INTERACTION, Orlando, Florida, USA, 2019.
Dedema and P. Zhang, “"Happy Rides Are All Alike; Every Unhappy Ride Is Unhappy in Its Own Way": Passengers' Emotional Experiences while Using a Mobile Application for Ride-sharing,” in iConference 2019, Washington DC, 2019.