Operating and Understanding - Intelligent Interaction in Human-Machine Systems

Erbe, Heinz-H.

doi:10.1016/s1474-6670(17)37691-7

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2005

2023

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Cited by 2 publications

(2 citation statements)

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“…In addition, speech output was implemented to improve the usability of the system under shop floor conditions (Figures 4a and 4b). Operating and understanding are also discussed in Erbe (2003).…”

Section: Spare Part Shopmentioning

confidence: 99%

Cost Aspects of Plant Automation – Cost of Ownership

Erbe

2005

IFAC Proceedings Volumes

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Section: Spare Part Shopmentioning

confidence: 99%

Cost Aspects of Plant Automation – Cost of Ownership

Erbe

2005

IFAC Proceedings Volumes

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“…Ru, Y. H. et al proposed the importance of ecological landscape infrastructure in improving the overall quality of the urban environment, and at the same time, the creation of an ecological landscape is conducive to the sustainable development of the city [11]. Erbe, H. H. investigated intelligent interaction techniques in human-computer systems and discussed a newly developed support for intelligence that improves the problems in traditional human-computer interaction [12]. Shun-Hui et al studied the construction method of a dynamic interactive system of urban landscape information based on PHP technology, which provides a new innovative power for the development of the urban landscape industry [13].…”

Section: Introductionmentioning

confidence: 99%

Application of AI Interaction Design in the Teaching Model of Landscape Topics Course

Zhou,

Xia

2023

Applied Mathematics and Nonlinear Sciences

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In this paper, we first define the limb node coordinates through the established limb node coordinate system and evaluate the behavior of the human body through the constructed posture sequence to analyze the human body’s body characteristics, such as the area of concern and the emotional level. Then, a new model of landscape theme course teaching was designed based on AI interaction design technology, the human-computer interaction learning needs were analyzed, and a human-computer interaction landscape course learning system was established. Finally, the differences in students’ cognitive ability, learning motivation, and learning emotion under the AI interactive teaching environment and traditional teaching methods were compared, and the advantages of AI interactive teaching were analyzed. The results show that the SD value of students’ behavioral attitudes in the teaching mode based on interactive technology is 27.78±2.34, which is more than the SD value of the ordinary teaching mode.2 In terms of goal attitudes, the SD value of the experimental class is about 4.05 more than that of the control class, and the difference is significant. The interactive teaching mode of AI effectively promotes students’ learning of the landscape topic course, and this study provides positive reference value.

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Operating and Understanding - Intelligent Interaction in Human-Machine Systems

Cited by 2 publications

References 5 publications

Cost Aspects of Plant Automation – Cost of Ownership

Cost Aspects of Plant Automation – Cost of Ownership

Application of AI Interaction Design in the Teaching Model of Landscape Topics Course

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