JOURNAL ARTICLE

Cognition and behaviour of reception in museum spaces: A critical review of eye tracking research on museum translation (2010–2022).

  • Published In: Translation, Cognition & Behavior, 2023, v. 6, n. 2. P. 187 1 of 3

  • Database: Psychology Source 2 of 3

  • Authored By: Xu, Renwen; Zhang, Boya; Zheng, Binghan 3 of 3

Abstract

In recent years, there has been a growing interest in translation studies within museum settings, enabling museums to enhance visitor engagement and create a more meaningful visiting experience. Within cognitive translation studies, the use of eye tracking technology has emerged as a widely adopted method for investigating translators' allocation of visual attention and cognitive resources. However, the application of eye tracking in museum translation studies has received limited attention. This study provides a critical review of the utilisation of eye tracking to examine visitors' perception and reception in museum settings from both behavioural and cognitive perspectives. The article begins by selecting and categorising the reviewed papers. It then describes the methods employed for collecting and analysing eye movement data, followed by summaries and critical comments on the findings from the existing literature. This article further evaluates the reliability, validity, and practicality of existing eye tracking research in museum translation, and finally proposes the potential directions for future cognitive translation studies in museums. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Translation, Cognition & Behavior. 2023/07, Vol. 6, Issue 2, p187
  • Document Type:Article
  • Subject Area:History
  • Publication Date:2023
  • ISSN:2542-5277
  • DOI:10.1075/tcb.00085.xu
  • Accession Number:175943215
  • Copyright Statement:Copyright of Translation, Cognition & Behavior is the property of John Benjamins Publishing Co. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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