ハイパースキャン手法による協調的動作の解明：個人差と注意量の観点から

关于个体差异和情绪的研究已经展开。我们的科学发现表明：基于分类法和维度法的问卷测量的信息不相同；在参与者能够很好地感知和描述他们的情绪的情况下，评估人类情绪的最佳框架是混合框架（分类和维度方法）；在情绪研究中，我们提出的方案提高了数据质量；情绪分类足够可靠，可以将实际的计算机应用付诸实施。为了验证上述结果，还进行了一系列的脑电实验和脑电超扫描数据分析。我们目前正在分析更多的数据并评估结果。到目前为止，我们在国际会议上展示了2张海报，在国际期刊上发表了一篇论文。此外，还提交了另外两份文件。

Studies on individual differences and emotions have been carried out. Our scientific findings suggest : questionnaires based on categorical and dimensional approach are not measuring the same information ; best framework to assess human emotions in case of participants able to well perceive and describe their emotions is a mixed framework (categorical and dimensional approach) ; in case of emotional studies our proposed protocol improved data quality ; emotions classification is reliable enough to put practical computer applications in to effect. Additional series of EEG experiments and analysis of EEG hyper-scanning data on cooperative performance have been run in order to confirm the above results. We are currently analyzing more data and evaluating the results. So far, we have presented 2 posters in international meeting and published one paper in an international journal. Furthermore, other two papers have been submitted.