Co-development of Manner and Path Concepts in Language, Action, and Eye-Gaze Behavior
Co-development of Manner and Path Concepts in Language, Action, and Eye-Gaze Behavior
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语言、动作和目光行为中方式和路径概念的共同发展
DOI：
10.1111/tops.12098
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发表时间：
2014
影响因子：
3
通讯作者：
Rohlfing
中科院分区：
文献类型：
--
作者：
Griffiths;Sciutti;Partmann;Rohlfing
In order for artificial intelligent systems to interact naturally with human users, they need to be able to learn from human instructions when actions should be imitated. Human tutoring will typically consist of action demonstrations accompanied by speech. In the following, the characteristics of human tutoring during action demonstration will be examined. A special focus will be put on the distinction between two kinds of motion events:path‐oriented actions andmanner‐oriented actions. Such a distinction is inspired by the literature pertaining to cognitive linguistics, which indicates that the human conceptual system can distinguish these two distinct types of motion. These two kinds of actions are described in language by morepath‐oriented or moremanner‐oriented utterances. Inpath‐oriented utterances, the source, trajectory, or goal is emphasized, whereas inmanner‐oriented utterances the medium, velocity, or means of motion are highlighted. We examined a video corpus of adult–child interactions comprised of three age groups of children—pre‐lexical, early lexical, and lexical—and two different tasks, one emphasizingmannermore strongly and one emphasizingpathmore strongly. We analyzed the language and motion of the caregiver and the gazing behavior of the child to highlight the differences between the tutoring and the acquisition of themannerandpathconcepts. The results suggest that age is an important factor in the development of these action categories. The analysis of this corpus has also been exploited to develop an intelligent robotic behavior—the tutoring spotter system—able to emulate children's behaviors in a tutoring situation, with the aim of evoking in human subjects a natural and effective behavior in teaching to a robot. The findings related to the development ofmannerandpathconcepts have been used to implement new effective feedback strategies in the tutoring spotter system, which should provide improvements in human–robot interaction.
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