Exploring virtual team emotions and satisfaction using deep learning

• Main Authors: Chun Tsai, 蔡鈞
• Other Authors: 陳鴻基
• Format: Others
• Language: zh-TW
• Published: 2019
• Online Access: http://ndltd.ncl.edu.tw/handle/uebky7

碩士 === 國立臺灣大學 === 資訊管理學研究所 === 107 === The purpose of this study is to explore the interactive effects of leader personality traits, meeting emotions, and post-meeting user satisfaction in an online collaboration platform to understand the impact of the team leader''s personality traits on post-meeting satisfaction, and whether the emotional performance of the meeting will really affect the user satisfaction after the meeting. This study uses WordPress online collaborative dialogue materials as an analysis object and establishes three prediction models: The first part classifier for personality traits; The second part classifier the for meeting emotion; The third part classifier for post-meeting user satisfaction. The results show that: (1) Leaders'' personality traits in Social Interaction biased toward Introvert leaders will bring high post-meeting satisfaction to the team. Leaders who favor Extrovert''s personality traits will be relatively less satisfied. (2) The happy mood in the meeting is influenced by the Social Interaction and Information Gathering of the leader''s personality traits. (3) Only happiness and sadness have a significant correlation with the user satisfaction after the meeting, and hate and angry There was no significant relationship between user satisfaction after the meeting. Finally, we discuss whether the emotions of the meeting affect the meeting in the form of mediation variables, and make recommendations based on the research results. When setting up the project team, in addition to considering the technical ability of the members, we also need to consider the influence of the leader''s personality traits on the team.