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ABSTRACT
In this pilot study, we investigated the use of the Double-Grip Analysis method as a tool to create analogue wines. The study involved four groups of sommeliers using the method to identify critical analytical and analogical attributes in four commercial wines. The basis of communication with this method is via the use of analogies, metaphors, and practical examples that emerge during the analysis and the dialogue. An overmatured rosé wine with mature flavours and low acidity served as the base for all groups when replicating the commercial counterparts making analogue wines. At first, the study aimed to assess the sommeliers’ ability to use this method in blending and wine production. In addition, the study explored the acceptability of these analogue wines, as they aim to replicate sensory characteristics of commercial counterparts, providing environmentally friendly alternatives. A panel of 20 consumers evaluated the quality of the wines as guests at a blind tasting dinner. The results help to shed light on the effectiveness of the Double-Grip Analysis Method, while at the same time providing insights into the acceptability of these analogue products amongst consumers. This research contributes to the field of culinary exploration and sustainable alternatives in the wine industry.
Acknowledgements
The authors would like to thank the participating sommeliers and consumers for their valuable contributions to this study. The authors would also like to express their gratitude to the design agency Banker-Wessel Design Team and The Contemporary Museum of Photography, Art & Culture, ‘Fotografiska’ in Stockholm for supporting this research endeavour.
Disclosure statement
No potential conflict of interest was reported by the author(s).
Notes
1 Alan Turing is credited with the design of the imitation game, commonly referred to as the Turing Test, which proposed a method for evaluating machine intelligence. However, Hoffmann (Citation2022) argues against the validity and robustness of the standard Turing Test, suggesting that a measure of machine intelligence should yield actionable and thriving research outcomes. Hoffmann further asserts that such a test should be empirical, specific, and free from anthropomorphic biases. By contrast, Turing’s original paper had modest objectives, as he dismissed the question of whether machines can think as lacking meaning and unworthy of discussion (Chomsky, Citation2007). The focus of this inquiry is to examine the potential significance of empirical, specific, and anthropomorphic approaches, incorporating human metaphors and analogies within specific contexts, as effective tools for successful imitations. Furthermore, drawing upon Wittgenstein’s philosophy of language games, which emphasizes complex rule-following processes and representation reflecting human cognition and behavior (Torres-Martínez, Citation2021), as well as Turing’s comments on machine thinking, it is suggested that analogical thinking and the use of analogies play a central part in human comprehension and imitation. This extends beyond understanding the complex and encompasses venturing into the realm of the unknown.