Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
A graspable olfactory display for virtual reality
Stockholm University, Faculty of Social Sciences, Department of Psychology, Perception and psychophysics.ORCID iD: 0000-0002-3214-7379
Stockholm University, Faculty of Social Sciences, Department of Psychology, Perception and psychophysics.
Stockholm University, Faculty of Social Sciences, Department of Psychology, Perception and psychophysics.
Show others and affiliations
Number of Authors: 52023 (English)In: International Journal of Human-Computer Studies, ISSN 1071-5819, Vol. 169, article id 102928Article in journal (Refereed) Published
Abstract [en]

The sense of smell, olfaction, is seldom engaged in digital interactive systems, but, supported by the proper technology, olfaction might open up new interaction domains. Human olfactory experience involves active exploration, directed sniffing and nuanced judgements about odour identity, concentrations, and blends, yet to date most compact olfactory displays do not directly support these experiences. We describe the development and validation of a compact, low-cost olfactory display fitted to the hand controller of the HTC Vive Virtual Reality (VR) system that employs stepless valves to enable control of scent magnitude and blending (Fig. 1). Our olfactory display allows for concealed (i.e., unknown to the user) combinations of odours with virtual objects and contexts, making it well suited to applications involving interactions with odorous objects in virtual space for recreational, educational, scientific, or therapeutic functions. Through a user study and gas sensor analysis, we have been able to demonstrate that our device presents clear and consistent scent output, is intuitive from a user perspective, and supports gameplay interactions. We present results from a smell training game in a virtual wine tasting cellar in which the initial task of identifying wine aroma components is followed by evaluating more complex blends, allowing the player to “level up” as they proceed to higher degrees of connoisseurship. Novice users were able to quickly adapt to the display, and we found that the device affords sniffing and other gestures that add verisimilitude to olfactory experience in virtual environments. Test-retest reliability was high when participants performed the task two times with the same odours. In sum, the results suggest our olfactory display may facilitate use in game settings and other olfactory interactions.

Place, publisher, year, edition, pages
Elsevier, 2023. Vol. 169, article id 102928
Keywords [en]
olfaction, olfactory display, smell training, virtual reality
National Category
Computer and Information Sciences Psychology
Research subject
Psychology
Identifiers
URN: urn:nbn:se:su:diva-211028DOI: 10.1016/j.ijhcs.2022.102928ISI: 000869794000004Scopus ID: 2-s2.0-85138456623OAI: oai:DiVA.org:su-211028DiVA, id: diva2:1709785
Note

This research was supported by funding from the Marianne and Marcus Wallenberg Foundation (MMW 2014:0187) and the Knut and Alice Wallenberg Foundation(2016:0229).

Available from: 2022-11-09 Created: 2022-11-09 Last updated: 2024-01-12Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Fredborg, WilliamLundén, PeterEhrndal, MarieOlofsson, Jonas K.

Search in DiVA

By author/editor
Fredborg, WilliamLundén, PeterEhrndal, MarieOlofsson, Jonas K.
By organisation
Perception and psychophysics
Computer and Information SciencesPsychology

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 444 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf