FROM PERCEIVED CREATIVITY TO STATUS QUO BIAS THE CASE OF DIGITAL TWINS IN THE HOME

Maria Mercanti-Guérin ()
Additional contact information
Maria Mercanti-Guérin: IAE Paris - Sorbonne Business School

Post-Print from HAL

Abstract: Digital twins are a digital representation of the physical world. Among the multiple applications of digital twins, housing is one of the first sectors concerned. The objective of this re-search is to determine whether interior designs conceived by digital twins are more readable by artificial intelligence than human-designed designs (1) and whether these designs generate more consumer preference (2). Our first experiment shows that AI generates fewer annotation or classification errors when analyzing designs conceived via digital twins. Our second experiment shows that consumers' attitudes are more favorable towards designs conceived by digital twins. Aesthetics and complexity, which are two dimensions of object creativity, are perceived negatively. Only the "novelty" dimension which can be assimilated to modernity ex-plains a strong preference for this type of interior. A discussion on AI as a possible brake on creativity and reinforcement of the status quo bias is proposed.

Keywords: digital twins; AI; creativity; status quo (search for similar items in EconPapers)
Date: 2021-11-25
New Economics Papers: this item is included in nep-big, nep-cbe, nep-cul, nep-exp and nep-pay
Note: View the original document on HAL open archive server: https://hal.science/hal-03450262
References: View references in EconPapers View complete reference list from CitEc
Citations:

Published in Des biais décisionnels aux biais algorithmiques, Institut Psychanalyse et Management; Université Paris 1 Panthéon Sorbonne, Nov 2021, Paris, France

Downloads: (external link)
https://hal.science/hal-03450262/document (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:hal:journl:hal-03450262

Access Statistics for this paper

More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().