@inproceedings{40b20e07143549a9bb7b29283c1d1669,
title = "Using physiological responses to capture unique idea creation in team collaborations",
abstract = "The rise of multimodal learning analytics (MMLA) gives opportunity to learn about teamwork and collaboration through detailed physiological responses, with the aid of multimodal tools. The primary goal of this study is to determine if unique idea creation, or secondary agreement to unique ideas, in group collaboration can be distinguished through one{\textquoteright}s physiological responses. In this pilot study participants who presented new ideas demonstrated higher levels of galvanic skin response, indicative of engagement, emotional arousal or cognitive load.",
keywords = "Idea creation, Multimodal learning analytics, Skin conductance, Team collaboration",
author = "Kira Furuichi and Marcelo Worsley",
year = "2018",
month = oct,
day = "30",
doi = "10.1145/3272973.3274099",
language = "English (US)",
series = "Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW",
publisher = "Association for Computing Machinery",
pages = "369--372",
booktitle = "CSCW 2018 Companion - Companion of the 2018 ACM Conference on Computer Supported Cooperative Work and Social Computing",
note = "21st ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2018 ; Conference date: 03-11-2018 Through 07-11-2018",
}