Scholarlink

<p>Thinking, collaborating, and communication happen through interactions of the body, the mind, language, and things in the world. Actions of the body actively express intention, thought, and emotion. Points of the fingers and nods of the head can refer to things in the surrounding world. A string of interrelated gestures can represent an environment, a complex system, an arrangement of ideas, a sequence of actions. Those gestures use marks and actions in space to represent thought more directly than words—as do graphics like sketches, maps, graphs, diagrams, and pictures. Seeing or making gestures or graphics can change thought, both in those who view them and in those who make them. Interactions with gestures and graphics and the surrounding world are often internal, invisible, and unique, not in words, and not easily decomposed. Through those interactions, shared and individual meanings emerge and change in real time. These features of human thought present challenges to current multi-modal AI.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Many Ways to Think

  • 期刊论文

  • 发表日期：

    2025年9月11日

查看全文
  • B. Tversky

摘要

Thinking, collaborating, and communication happen through interactions of the body, the mind, language, and things in the world. Actions of the body actively express intention, thought, and emotion. Points of the fingers and nods of the head can refer to things in the surrounding world. A string of interrelated gestures can represent an environment, a complex system, an arrangement of ideas, a sequence of actions. Those gestures use marks and actions in space to represent thought more directly than words—as do graphics like sketches, maps, graphs, diagrams, and pictures. Seeing or making gestures or graphics can change thought, both in those who view them and in those who make them. Interactions with gestures and graphics and the surrounding world are often internal, invisible, and unique, not in words, and not easily decomposed. Through those interactions, shared and individual meanings emerge and change in real time. These features of human thought present challenges to current multi-modal AI.