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科技导报
| 研究论文 2019, 37(21): 105-109
人工智能大数据之于心理学
全屏
刘兴云1,2 , 刘晓倩1 , 向媛媛1,2 , 朱廷劭1
作者信息
1. 中国科学院心理研究所, 北京 100101;
2. 中国科学院大学心理系, 北京 100049
通讯作者:
朱廷劭(通信作者),研究员,研究方向为大数据心理及计算机应用,电子信箱:tszhu@psych.ac.cn
Artificial intelligence and big data as applied to Psychology
Affiliations
出版时间: 2019-11-13
doi: 10.3981/j.issn.1000-7857.2019.21.010
文章导航
以人格预测、主动自杀干预、青岛大虾事件的舆情分析为例,介绍了人工智能大数据在心理学领域中的应用。研究表明,在利用大数据进行相关心理指标分析时,要注重保护用户隐私,合理合规地使用大数据和人工智能技术。
人工智能
/
大数据
/
心理指标
/
生态化数据
With the development of technology, artificial intelligence and big data have brought a new research strategy to psychology research. Compared with traditional methods, the combination of artificial intelligence and big data produces three advantages of ecological data:vertical tracking, time backtracking, high internal and external validity. This kind of interpersonal interaction based on Online Social Networking has profoundly affected or even changed people's psychological and behavioral characteristics. Meanwhile, ecological behavior data can be used, combined with other artificial intelligence technology, to establish a psychological index prediction model to achieve automatic identification of people's psychological indicators. This paper discusses the application of artificial intelligence and big data in psychological research and practice by taking personality prediction model, Proactive Suicide Prevention Online, and Qingdao prawn as examples. Finally, when using big data to analyze relevant psychological indicators, we must also pay attention to protecting user privacy and rational use of big data and artificial intelligence technology.
artificial intelligence (AI)
/
big data
/
psychology
/
ecological data
刘兴云, 刘晓倩, 向媛媛, 朱廷劭.
人工智能大数据之于心理学.
科技导报,
2019
, 37
(21)
: 105
-109
.
DOI: 10.3981/j.issn.1000-7857.2019.21.010
LIU Xingyun, LIU Xiaoqian, XIANG Yuanyuan, ZHU Tingshao.
Artificial intelligence and big data as applied to Psychology[J].
Science & Technology Review ,
2019
, 37
(21)
: 105
-109
.
DOI: 10.3981/j.issn.1000-7857.2019.21.010
2019年第37卷第21期
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引用本文
BibTeX
文章信息
doi: 10.3981/j.issn.1000-7857.2019.21.010
接收时间:2019-01-16
首发时间:2019-11-15
出版时间:2019-11-13
收稿日期:2019-01-16
修回日期:2019-04-17
通讯作者:
朱廷劭(通信作者),研究员,研究方向为大数据心理及计算机应用,电子信箱:tszhu@psych.ac.cn
https://castjournals.cast.org.cn/joweb/kjdb/CN/10.3981/j.issn.1000-7857.2019.21.010
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2种不同金属材料的力学参数
科 Family 属数 Number of genus 种数 Number of species 占总种数比例 Percentage of total species (%) 属 Genus 种数 Number of species 占总种数比例 Percentage of total species (%) 鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78 小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39 多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39 红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87 小菇属 Mycena 11 5.26 光柄菇属 Pluteus 5 2.39 红菇属 Russula 17 8.13 栓菌属 Trametes 5 2.39
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