The Group Affect and Performance (GAP) Corpus
The Group Affect and Performance (GAP) Corpus
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群体情感与绩效 (GAP) 语料库
DOI：
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
Gabriel Murray
中科院分区：
文献类型：
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作者：
McKenzie Braley;Gabriel Murray
在本文中，我们提出了组的影响和性能（GAP）语料库，一个公开的数据集的13个小组会议。差距语料库包含会议音频、录音、注释、决策绩效以及组成员影响力、会后满意度评级和人口统计数据。在本文中，我们讨论了数据收集和准备的各个方面。我们还提出了初步的分析和研究结果，决策性能，小组成员的影响力，小组成员的满意度，和其他会议的特点。最后，我们提出未来的方向。在创建和发布这个语料库时，我们的目标是刺激对小团体会议的计算分析的研究，并补充相对少量的当前可用的团体交互数据。
In this paper, we present the Group Affect and Performance (GAP) corpus, a publicly available dataset of thirteen small group meetings. The GAP corpus contains meeting audio, transcriptions, annotations, decision-making performance, as well as group member influence, post-meeting ratings of satisfaction, and demographics. In this paper, we discuss all aspects of data collection and preparation. We also present preliminary analyses and findings concerning decision-making performance, group member influence, group member satisfaction, and additional meeting characteristics. We conclude with future directions. In creating and releasing this corpus, it is our goal to stimulate research on the computational analysis of small group meetings, and to supplement the relatively small amount of currently available group interaction data.