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A hybrid digital/physical platform for olfactory assessment and training in non-laboratory settings
Malmö University, Faculty of Culture and Society (KS), School of Arts and Communication (K3).ORCID iD: 0000-0003-4132-2287
Malmö University, Faculty of Culture and Society (KS), School of Arts and Communication (K3).
2020 (English)In: Chemical Senses, ISSN 0379-864X, E-ISSN 1464-3553, Vol. 45, no 2, p. 172-173Article in journal, Meeting abstract (Other academic) Published
Abstract [en]

Although prior studies have shown sensory benefits of smell training, they are limited by the lack of technologies that enable training with performance feedback in domestic settings. Current research olfactometer designs prioritize the output of carefully controlled scent concentrations at a predictable onset, at the expense of size and portability. Here we present a portable olfactory display designed primarily for uses outside of the laboratory and that can be operated with a personal computer.

We employ RFID tags as a means of linking individual scent units to a database, as part of a training regimen that is easy to learn, easy to maintain, and scalable. These tags can be attached to any set of scent vials. Our hybrid digital/physical platform for conducting olfactory research combines the benefits of a digital, interactive platform—including the ability to monitor subject performance, logging and archiving experimental data—with scent delivery units under control of the user.

A pilot study included a participant training to identify 48 wine aromas (from the commercially available Le Nez du Vin set) using a multiple-choice format with feedback. Through brief daily training sessions at home, an improvement from 81% to 96% correct responses was observed in 16 days, offering proof of principle. We will describe how our hybrid platform can be useful for flexible olfactory assessment and training outside of a laboratory setting, and create new opportunities for employing digital environments in the service of olfactory research.

Place, publisher, year, edition, pages
Oxford University Press, 2020. Vol. 45, no 2, p. 172-173
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:mau:diva-17654ISI: 000538788900155OAI: oai:DiVA.org:mau-17654DiVA, id: diva2:1450937
Conference
29th Annual Meeting of the European-Chemoreception-Research-Organization (ECRO), SEP 11-14, 2019, Abdus Salam Int Ctr Theoret Phhys, Trieste, ITALY
Available from: 2020-07-02 Created: 2020-07-02 Last updated: 2022-04-26Bibliographically approved

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https://academic.oup.com/chemse/article/45/2/119/5811642

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Niedenthal, SimonNilsson, Johannes

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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  • de-DE
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