Connecting IM pattern and selective perceived responsiveness to relationship: A cluster-based approach

Hao Ping Lee, Kuan Yin Chen, Chih Heng Lin, Yung-Ju Chang

研究成果: Conference contribution同行評審

2 引文 斯高帕斯(Scopus)

摘要

As people utilize instant messaging (IM) to communicate with people of various relationships, they pay different amounts of attention to and have different communication practices with them of different relationships. However, we haven’t seen a close investigation of how users’ IM communication patterns relate to different groups of IM contacts. We collected IM logs of 547 sender-recipient pairs from 33 smartphone users over the course of 4 weeks, and used k-mean clustering to identify 6 clusters of these users’ IM communication patterns. We illustrate the characteristics of the IM patterns of these distinct clusters as well as how the patterns relate to the relationship between the senders and the recipients within these clusters respectively.

原文English
主出版物標題UbiComp/ISWC 2019- - Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers
發行者Association for Computing Machinery, Inc
頁面1070-1074
頁數5
ISBN(電子)9781450368698
DOIs
出版狀態Published - 9 9月 2019
事件2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2019 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2019 - London, United Kingdom
持續時間: 9 9月 201913 9月 2019

出版系列

名字UbiComp/ISWC 2019- - Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers

Conference

Conference2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2019 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2019
國家/地區United Kingdom
城市London
期間9/09/1913/09/19

指紋

深入研究「Connecting IM pattern and selective perceived responsiveness to relationship: A cluster-based approach」主題。共同形成了獨特的指紋。

引用此