Flow on the net–detecting Web users’ positive affects and their flow states

作者:

Highlights:

摘要

The correlations between positive affects and flow symptoms on the Web are analyzed in an attempt to increase our understanding of the positive aspects of Web users’ on-line behaviors. The digital version of the experience sampling method was employed to collect situated data from 233 Web users with a pop-up questionnaire on subjects’ Web browsers. This study concludes: (1) Web users are more likely to experience positive moods on the Web; (2) positivity of affects and enjoyable feelings are consequences of flow; (3) three factors underlying Web users’ flow experiences labeled as antecedents, experiences, and consequences represent the process that an individual could experience during his/her engagement on the Web. Findings in this study provide insights into Web users’ internal behaviors and the process of approaching optimal flow experience. In addition, the on-line experience sampling method was proven to be a useful and practical data collection tool.

论文关键词:User behavior,Flow theory,Positive affects,Experience sampling method

论文评审过程:Available online 20 August 2004.

论文官网地址:https://doi.org/10.1016/j.chb.2004.07.001