Yusen Dai

Tsinghua University, Peping, Beijing, China

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Publications (3)2.27 Total impact

  • Qin Gao, Yusen Dai, Zao Fan, Ruogu Kang
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    ABSTRACT: Sociability is considered to be important to the success of social software. The goal of the current study is to identify factors that affect the users’ perception of the sociability of social software and to examine the impact of sociability on the users’ attitude and behavior intentions. In a pilot study, 35 web users were interviewed to gain understanding of how they use social software to supplement their social life and to explore the possible factors that influence the users’ utilization of social software. In the first study, a questionnaire was developed, and 163 valid responses were collected. From the factor analysis results, seven important factors for social software design emerged, which accounts for 63.3% of the total variance. In the second study, 246 participants were asked to evaluate one of ten popular social applications with respect to the seven factors, their perceived sociability, and their attitudes and intention regarding the use of the applications. Results show that sociability is influenced by social climate, benefits and purposes, people, interaction richness, self-presentation, and support for formal interaction. System competency is not a sociability factor, but it significantly influences the user’s experience. Sociability and system competency, when combined, can predict 43% of users’ attitude towards social software and 51% of their intentions to use social software.
    Computers in Human Behavior 11/2010; · 2.27 Impact Factor
  • Qin Gao, Yusen Dai, Kai Fu
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    ABSTRACT: Tagging has emerged as a new means of organizing information, but the inconsistency in tagging behaviors of users is a major drawback which degrades both information organization and retrieval performance. The current study aims to study how the intra-personal consistency of tagging can be improved by proper tag visualization. The effects of visualization of tag frequency and visualization of the relevancy among tags on personal tagging consistency are empirically tested and compared through an experiment with 39 participants. The results show that visualization of tag relevancy improves tagging consistency significantly and reduces mental workload simultaneously; visualization of tag frequency may alleviate perceived physical demand when tag relevancy is visualized. The findings provide clear and meaningful implications for system designers.
    Online Communities and Social Computing, Edited by Ozok, A. Ant, Zaphiris, Panayiotis, 01/2009: pages 326-335; Springer Berlin Heidelberg., ISBN: 978-3-642-02773-4
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    ABSTRACT: In this paper, we describe the result of the first part of a continuous effort to identify and validate factors influencing sociability of online social software. The concept of sociability was first refined and then a series of interviews were carried out to gain understanding of how users use social software to facilitate their social interactions and social relationships maintenance. We also investigate possible factors influencing users' decision on choosing social software. The results yield qualitative data for developers to understand users' behavior and provide foundations for future empirical studies.
    07/2008