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Towards Efficient Odor Diffusion with an Olfactory Display Using an Electronic Nose

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HCI International 2022 - Late Breaking Papers. Multimodality in Advanced Interaction Environments (HCII 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13519))

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Abstract

Olfactory displays (human-computer interfaces that generate and diffuse odors to a user with a purpose) have been researched to complement or supplement other human sensory modalities, as well as using odors as effective sensory stimuli. We developed an olfactory display with a commonly-used microcontroller board and off-the-shelf components. A challenge in olfactory displays is diffusing the right odor concentration to a user. We developed and applied an electronic nose (e-nose) to determine if an intended odor is not lingering, otherwise our olfactory display will generate an excessive amount of odor. As a proof of concept, we developed a virtual environment that activates our olfactory display when a virtual lemon is visible on it, diffusing a lemon odor if the odor is not already present around the user, detected by our e-nose. Our informal prototype tests shown that it is feasible to use an e-nose to control the odor concentration generated by an olfactory display, thus avoiding an excess of odor that may produce a negative user experience. The Evolutionary Prototyping methodology was very useful for developing our olfactory display system and electronic nose.

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Author information

Authors and Affiliations

  1. Algoma University, Sault Ste. Marie, ON, P6A 2G4, Canada

    Miguel Garcia-Ruiz

  2. University of Colima, 28400, Coquimatlan, Colima, Mexico

    Laura Gaytan-Lugo

  3. University of Colima, 28040, Colima City, Colima, Mexico

    Pedro Santana Mancilla & Raul Aquino-Santos

Authors
  1. Miguel Garcia-Ruiz
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  2. Laura Gaytan-Lugo
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  3. Pedro Santana Mancilla
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  4. Raul Aquino-Santos
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Corresponding author

Correspondence to Miguel Garcia-Ruiz .

Editor information

Editors and Affiliations

  1. The Open University of Japan, Chiba, Japan

    Masaaki Kurosu

  2. Tokyo University of Science, Tokyo, Saitama, Japan

    Sakae Yamamoto

  3. Tokyo City University, Tokyo, Japan

    Hirohiko Mori

  4. Soar Technology Inc., Orlando, FL, USA

    Dylan D. Schmorrow

  5. Katmai Government Services, Orlando, FL, USA

    Cali M. Fidopiastis

  6. Smart Future Initiative, Frankfurt am Main, Germany

    Norbert A. Streitz

  7. Kyushu University, Fukuoka, Japan

    Shin'ichi Konomi

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Garcia-Ruiz, M., Gaytan-Lugo, L., Santana Mancilla, P., Aquino-Santos, R. (2022). Towards Efficient Odor Diffusion with an Olfactory Display Using an Electronic Nose. In: Kurosu, M., et al. HCI International 2022 - Late Breaking Papers. Multimodality in Advanced Interaction Environments. HCII 2022. Lecture Notes in Computer Science, vol 13519. Springer, Cham. https://doi.org/10.1007/978-3-031-17618-0_4

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  • DOI: https://doi.org/10.1007/978-3-031-17618-0_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-17617-3

  • Online ISBN: 978-3-031-17618-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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