@inproceedings{fd5170ea2e8b49628525f90de6acb93b,
title = "Extracting Conflict Models from Interaction Traces in Virtual Collaborative Work",
abstract = "This paper develops a model of conflicts that relies on extracting text and argument features from traces of interactions in collaborative work. Much prior research about collaborative work is aimed at improving the support for virtual work. In contrast, we are interested in detecting conflicts in collaborative work because conflict undetected can escalate and cause disruptions to productive work. It is a difficult problem because it requires untangling conflict-related interactions from normal interactions. Few models or methods are available for this purpose. The extracted features, interpreted with the help of foundational theories, suggests a conceptual model of conflicts that include categories of argumentation such as reasoning and modality; and informative language features. We illustrate the extraction approach and the model with a dataset from Bugzilla. The paper concludes with a discussion of evaluation possibilities and potential implications of the approach for detecting and managing conflicts in collaborative work.",
author = "Guangxuan Zhang and Yilu Zhou and Sandeep Purao and Heng Xu",
note = "Funding Information: Acknowledgements. The work reported has been funded by the National Science Foundation under award number CNS 1551004. Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation (NSF). We also acknowledge the commentary from the review team that has helped us refine the paper. Publisher Copyright: {\textcopyright} 2018, Springer Nature Switzerland AG.; 37th International Conference on Conceptual Modeling, ER 2018 Workshops Emp-ER, MoBiD, MREBA, QMMQ, SCME ; Conference date: 22-10-2018 Through 25-10-2018",
year = "2018",
doi = "10.1007/978-3-030-01391-2_34",
language = "English (US)",
isbn = "9783030013905",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "295--305",
editor = "Zhanhuai Li and Ling, {Tok Wang} and Guoliang Li and Jiaheng Lu and Carson Woo and Lee, {Mong Li}",
booktitle = "Advances in Conceptual Modeling - ER 2018 Workshops Emp-ER, MoBiD, MREBA, QMMQ, SCME, 2018, Proceedings",
address = "Germany",
}