摘要翻译:
提出了一种新的方法,可以帮助人们意识到他或她的无意识偏好,并以口头解释的形式将其传达给他人。该方法结合了反射、可视化和口头化的概念。该方法在一个实验中进行了测试,在该实验中,研究了受试者对各种艺术品的无意识偏好。在实验中,吸取了两个教训。首先,通过讨论偏好图,它帮助受试者意识到他们的无意识偏好,用语言表达弱偏好,而不是强偏好。二是在可视化中引入可调节因素,以适应被试之间的差异,促进被试之间的相互理解。
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英文标题:
《Reflective visualization and verbalization of unconscious preference》
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作者:
Yoshiharu Maeno and Yukio Ohsawa
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最新提交年份:
2009
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分类信息:
一级分类:Computer Science 计算机科学
二级分类:Artificial Intelligence 人工智能
分类描述:Covers all areas of AI except Vision, Robotics, Machine Learning, Multiagent Systems, and Computation and Language (Natural Language Processing), which have separate subject areas. In particular, includes Expert Systems, Theorem Proving (although this may overlap with Logic in Computer Science), Knowledge Representation, Planning, and Uncertainty in AI. Roughly includes material in ACM Subject Classes I.2.0, I.2.1, I.2.3, I.2.4, I.2.8, and I.2.11.
涵盖了人工智能的所有领域,除了视觉、机器人、机器学习、多智能体系统以及计算和语言(自然语言处理),这些领域有独立的学科领域。特别地,包括专家系统,定理证明(尽管这可能与计算机科学中的逻辑重叠),知识表示,规划,和人工智能中的不确定性。大致包括ACM学科类I.2.0、I.2.1、I.2.3、I.2.4、I.2.8和I.2.11中的材料。
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英文摘要:
A new method is presented, that can help a person become aware of his or her unconscious preferences, and convey them to others in the form of verbal explanation. The method combines the concepts of reflection, visualization, and verbalization. The method was tested in an experiment where the unconscious preferences of the subjects for various artworks were investigated. In the experiment, two lessons were learned. The first is that it helps the subjects become aware of their unconscious preferences to verbalize weak preferences as compared with strong preferences through discussion over preference diagrams. The second is that it is effective to introduce an adjustable factor into visualization to adapt to the differences in the subjects and to foster their mutual understanding.
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PDF链接:
https://arxiv.org/pdf/0803.4074