@inproceedings{fce15c17797940349662162ca2797dd8,
title = "Relating the learning styles, dependency, and working memory capacity to performance effectiveness in collaborative problem solving",
abstract = "Although much research has concentrated on the forecast of efficient team performance and the variables that might detract or promote team efficiency, little research reviewed has assessed the multitude of individual characteristics their impact on collaborative problem solving (CPS). Much of the research investigates only a single individual characteristic and its effect on group performance. This research proposes to explore three individual attributes (interpersonal dependency, individual working memory capacity, and preferred learning style) on performance effectiveness in CPS. A wide range of fields including healthcare and the military has explored CPS; however, the bulk of teamwork research to date has dealt with behavioral coordination on a single feature. This study will explore the association between team-member attributes and CPS skills. Noteworthy interactions might be observed to demonstrate that there are mixtures of traits more (or less) productive than anticipated, indicating further evidence of how group composition influences group performance.",
keywords = "Collaborative problem solving, Human factors, Individual differences factors, Performance effectiveness",
author = "Kaveh Sheikhrezaei and Craig Harvey",
note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2020.; AHFE International Conference on Human Error, Reliability, Resilience, and Performance, 2019 ; Conference date: 24-07-2019 Through 28-07-2019",
year = "2020",
doi = "10.1007/978-3-030-20037-4_5",
language = "English",
isbn = "9783030200367",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "53--64",
editor = "Boring, {Ronald L.}",
booktitle = "Advances in Human Error, Reliability, Resilience, and Performance - Proceedings of the AHFE 2019 International Conference on Human Error, Reliability, Resilience, and Performance",
address = "Germany",
}