A Study on Human-Computer Interaction with Text-to/from-Image Game AIs for Diversity Education

被引：3

作者：

Hattori, Shun ^{[1
]}

Takahara, Madoka ^{[2
]}

机构：

[1] Univ Shiga Prefecture, Hikone, Japan

[2] Ryukoku Univ, Otsu, Japan

来源：

HUMAN INTERFACE AND THE MANAGEMENT OF INFORMATION, HIMI 2023, PT I | 2023年 / 14015卷

关键词：

Text-to-Image; Image-to-Text; Game AIs; Human-Computer Interaction; Diversity Education;

D O I：

10.1007/978-3-031-35132-7_36

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Education in Japan seems to have various problems: decline in children's Japanese language skills? lack of thinking? lack of imagination? lack of understanding other persons and their diversity? Therefore, the previous paper has proposed an education-oriented Text-to/from-Image game and conducts a study on its game AIs. This paper conducts an additional study on their HCI (Human-Computer Interaction) for "Diversity" education especially, which in recent years has become important for creating a future society where people can feel mental affluence and connection with other people, and shows some experimental results to investigate the effects of others' explaining texts of a given image and/or their CLIP scores in the context of manually image-to-texting the given image for diversity education.

引用

页码：471 / 486

页数：16

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