Application Research of Image-based Methods in Aby Walburg's Emotive Formula

Xiaoyi Duan

Design Insights, 2024, vol. 1, issue 7, 1-14

Abstract: This paper centers around Aby Walburg's theory of 'motive Formula' and applies the image-based research method known as the 'Good Neighbor Principle' to analyze two case studies, aiming to validate the interdisciplinary applicability of the 'Good Neighbor Principle.' Firstly, the method is employed to analyze and interpret Plate 30 from Walburg's work, 'The Goddess of Memory Atlas,' to validate the theories related to Walburg's image-based emotive formula. Subsequently, the same research method is applied to analyze a case study in design, revealing that the design genes of Apple products originated from the German classical functionalism of Braun. This further confirms the effectiveness of the 'Good Neighbor Principle' and demonstrates how Walburg's concepts of memory and emotion are given new interpretations within the current social context. Drawing conclusions from these two case studies, it is evident that the power of memory and emotion has long been present, not only in artistic works but also in various other fields and different eras. Walburg's image-based re-search method, the 'Good Neighbor Principle,' can be applied across multiple disciplines and establish energetic connections among research sub-jects in different fields.

Keywords: Abby Warburg; Emotive Formula; Good Neighbor Principle; Image-based Method Application; Mnemosyne Atlas (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
https://soapubs.com/index.php/DI/article/view/47/39 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:axf:diaaaa:v:1:y:2024:i:7:p:1-14

Access Statistics for this article

More articles in Design Insights from Scientific Open Access Publishing
Bibliographic data for series maintained by Yuchi Liu ().