.png){kind=icon}
返回
Artificial intelligence assisted improved human-computer interactions for computer systems*
.png){kind=icon}
PRE
AI
DOI：10.1016/j.compeleceng.2022.107950.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
The interaction between people and computers takes place everywhere in everyday life through information processing. As the degree of contact between humans and computers continues to increase, the cognitive burden of interaction between humans and computers increases as the operating errors rate increases. HCI scientists examine and create particular technology user interfaces. They research and enhance technology development processes and develop and assess new technological applications. HCI has gradually merged its scientific interests to improve the usability and the technical understanding and technique of computer systems. Artificial intelligence (HCI-AI) based problems in human-computer interactions are suggested to identify the relationship between cognitive knowledge and the comprehension of natural and artificial intelligence forms. The models describe the relationship between HCI research and the conception of interactions between humans and computers. A model of the planning and controlling numerous tasks at medical reception and their hypothesis illustrates the relationships defined thus. The proposal proposes to evaluate links between other studies and the design of humanmake-computer interactions by using the relations described for HCI and cognitive science. The paper recommends that any discipline such as cognitive science, which has a relationship between its research and the design of the human-computer interactions, should perform this assessment. Such an evaluation would determine whether or not the relationship is specified. The article suggests that better relationships are necessary to provide more effective research support to develop interaction between humans and computers.
Keyword:
Human-computer interactions
Artificial intelligence
Deep learning
Neural network
期刊
C
IF:
4.9
论文数:
6.7K
被引数:
1.3W
机构
引用论文
分享收藏
Review of Three-Dimensional Human-Computer Interaction with Focus on the Leap Motion Controller.png)
SENSORS
OAAI
SENSORSIF3.5
OAAI分享收藏Pharmacokinetic and Safety Results From Two Phase 1 Studies of Oteseconazole in Women With Severe Renal Insufficiency Not Requiring Dialysis vs Normal Renal Function and Women With Moderate Hepatic Impairment vs Normal Hepatic Function奥替康唑在无需透析的严重肾功能不全女性与肾功能正常女性、中度肝功能不全女性与肝功能正常女性中的两项1期研究的药代动力学与安全性结果
PREAI
分享收藏
查看更多内容