A Study of Using Metaphoric and Beat Gestures with Motion-Based and Non-Motion-Based Metaphors during Retelling Stories.

Omid Khatin-Zadeh, Danyal Farsani, Florencia Reali
Author Information
  1. Omid Khatin-Zadeh: School of Foreign Languages, University of Electronic Science and Technology of China, Chengdu 610054, China. ORCID
  2. Danyal Farsani: Facultad de Educación, Psicología y Familia, Universidad Finis Terrae, Santiago 7501015, Chile. ORCID
  3. Florencia Reali: Department of Psychology, Universidad de los Andes, Bogotá 111711, Colombia. ORCID

Abstract

In this paper, we classify metaphors into four categories: motion-based metaphors, static space-based metaphors, static object-based metaphors, and static event-based metaphors. Then, a study that investigated the use of gestures with these types of metaphors is reported. The aim was to examine how these types of metaphors are used with metaphoric and beat gestures during the process of re-telling stories. The participants of the study listened to three audio stories. Each story contained two motion-based metaphors, two static space-based metaphors, two static object-based metaphors, and two static event-based metaphors. After listening to each story, they had to retell the stories in front of a camera. The videos were analyzed to determine the number of metaphoric gestures and beat gestures that had been used by participants during the retelling of the stories. The results showed that the highest number of metaphoric gestures had been used with static space-based metaphors. This was followed by motion-based metaphors, static object-based metaphors, and static event-based metaphors, respectively. On the other hand, the highest number of beat gestures was used with static event-based metaphors. These findings indicate that the use of metaphoric gestures and beat gestures accompanying metaphors is highly dependent on the spatial and motoric properties of the base of the metaphors, which supports the idea of embodied metaphor comprehension.

Keywords

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Grants

  1. PAI 77200008/Agencia Nacional de Investigación y Desarrollo

Word Cloud

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