Multimodal recognition of personality traits in human-computer collaborative tasks
Multimodal recognition of personality traits in human-computer collaborative tasks
复制标题
人机协作任务中人格特征的多模态识别
DOI：
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发表时间：
2012
期刊：
影响因子：
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通讯作者：
F. Pianesi
中科院分区：
文献类型：
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作者：
L. Batrinca;B. Lepri;N. Mana;F. Pianesi
人机交互中用户的个性对交互的整体成功起着重要的作用。本研究的重点是从2-5分钟长的视频中自动识别大五人格特质，其中计算机使用不同级别的协作进行交互，以引出这些人格特质的表现。情绪稳定性和外向性是在不同的协作设置下最容易自动检测的特质：情绪稳定性的所有设置和外向性的中间和完全非协作设置。有趣的是，只有在适度的非合作环境下，才能检测到责任心和尽责性。最后，我们的任务似乎并没有激活创造力的全部倾向。
The user's personality in Human-Computer Interaction (HCI) plays an important role for the overall success of the interaction. The present study focuses on automatically recognizing the Big Five personality traits from 2-5 min long videos, in which the computer interacts using different levels of collaboration, in order to elicit the manifestation of these personality traits. Emotional Stability and Extraversion are the easiest traits to automatically detect under the different collaborative settings: all the settings for Emotional Stability and intermediate and fully-non collaborative settings for Extraversion. Interestingly, Agreeableness and Conscientiousness can be detected only under a moderately non-collaborative setting. Finally, our task does not seem to activate the full range of dispositions for Creativity.