research-article

Information recall task impact in olfaction-enhanced multimedia

Authors:

Oluwakemi A. Ademoye,

Gheorghita GhineaAuthors Info & Claims

ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), Volume 9, Issue 3

Article No.: 17, Pages 1 - 16

https://doi.org/10.1145/2487268.2487270

Published: 03 July 2013 Publication History

Abstract

Enhancing multimedia applications with olfactory sensations is one of the last challenges in the area. While there is evidence, both scientific and anecdotal, that olfactory cues help users in information recall tasks, there is a lack of work when the targeted information is one contained in a multimedia presentation, which is precisely the focus of this article. Accordingly, we present the results of two experimental studies. The first study measured the impact of olfactory media variation on the user's ability to perceive, synthesize, and analyze the informational content of olfactory-enhanced multimedia videos; the second study measured the impact of information content, and an information recall task in respect of user perception of the relevance, sense of reality, and acceptability of the olfactory media content, as well as the overall enjoyment of the experience. Results show that the use of olfactory media content, both pleasant and unpleasant, in multimedia displays does not significantly impact on information assimilation in a negative way. Moreover, the addition of a performance task may enhance the user's understanding of the correlation between the characteristic odor(s) and the scenario under consideration, as well as enable users to consciously learn the odors.

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Cited By

Haw WRen YNg KArif A(2024)Investigating the Effects of Self-selected Pleasant Scents on Text Composition and Transcription PerformanceProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642445(1-13)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642445
Li WQian LFeng QLuo H(2024)Using olfactory cues in text materials benefits delayed retention and schemata constructionScientific Reports10.1038/s41598-024-68885-814:1Online publication date: 1-Aug-2024
https://doi.org/10.1038/s41598-024-68885-8
Covaci ASaleme EMesfin GComsa ITrestian RSantos CGhinea G(2023)Multisensory 360° Videos Under Varying Resolution Levels Enhance PresenceIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2022.314087529:4(2093-2101)Online publication date: 1-Apr-2023
https://doi.org/10.1109/TVCG.2022.3140875
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Index Terms

Information recall task impact in olfaction-enhanced multimedia
1. Computing methodologies
  1. Computer graphics
    1. Graphics systems and interfaces
      1. Virtual reality
2. Human-centered computing
  1. Human computer interaction (HCI)
    1. HCI design and evaluation methods
    2. Interaction paradigms
      1. Mixed / augmented reality
      2. Virtual reality

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Published In

cover image ACM Transactions on Multimedia Computing, Communications, and Applications

ACM Transactions on Multimedia Computing, Communications, and Applications Volume 9, Issue 3

June 2013

121 pages

ISSN:1551-6857

EISSN:1551-6865

DOI:10.1145/2487268

Issue’s Table of Contents

Copyright © 2013 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Publication History

Published: 03 July 2013

Accepted: 01 December 2012

Revised: 01 October 2012

Received: 01 July 2012

Published in TOMM Volume 9, Issue 3

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Cited By

Haw WRen YNg KArif A(2024)Investigating the Effects of Self-selected Pleasant Scents on Text Composition and Transcription PerformanceProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642445(1-13)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642445
Li WQian LFeng QLuo H(2024)Using olfactory cues in text materials benefits delayed retention and schemata constructionScientific Reports10.1038/s41598-024-68885-814:1Online publication date: 1-Aug-2024
https://doi.org/10.1038/s41598-024-68885-8
Covaci ASaleme EMesfin GComsa ITrestian RSantos CGhinea G(2023)Multisensory 360° Videos Under Varying Resolution Levels Enhance PresenceIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2022.314087529:4(2093-2101)Online publication date: 1-Apr-2023
https://doi.org/10.1109/TVCG.2022.3140875
Alkasasbeh AGhinea G(2023)That Scent Evokes an Image—On the Impact of Olfactory Cues on User Image Recall in Digital Multisensory EnvironmentsInternational Journal of Human–Computer Interaction10.1080/10447318.2023.2254618(1-15)Online publication date: 19-Sep-2023
https://doi.org/10.1080/10447318.2023.2254618
da Silveira ARodrigues ESaleme ECovaci AGhinea GSantos C(2023)Thermal and wind devices for multisensory human-computer interaction: an overviewMultimedia Tools and Applications10.1007/s11042-023-14672-y82:22(34485-34512)Online publication date: 7-Mar-2023
https://dl.acm.org/doi/10.1007/s11042-023-14672-y
Mohana Mda Silveira ASubashini PSantos CGhinea G(2023)Technology Enhanced Mulsemedia Learning: Insights of an EvaluationComputer-Human Interaction Research and Applications10.1007/978-3-031-49368-3_3(24-42)Online publication date: 23-Dec-2023
https://doi.org/10.1007/978-3-031-49368-3_3
Caro-Alvaro SAlkasasbeh AGarcia-Lopez EGarcia-Cabot ARozinaj GGhinea G(2022)Examining Potential of Scents for Enhancement of User Performance with Mobile AppsMobile Information Systems10.1155/2022/87769942022Online publication date: 16-Mar-2022
https://dl.acm.org/doi/10.1155/2022/8776994
Holloman ACrawford COgden CGamess E(2022)Can you smell me nowProceedings of the 2022 ACM Southeast Conference10.1145/3476883.3520225(17-24)Online publication date: 18-Apr-2022
https://dl.acm.org/doi/10.1145/3476883.3520225
Holloman ACrawford C(2022)Defining Scents: A Systematic Literature Review of Olfactory-based Computing SystemsACM Transactions on Multimedia Computing, Communications, and Applications10.1145/347097518:1(1-22)Online publication date: 27-Jan-2022
https://dl.acm.org/doi/10.1145/3470975
Choi JByun H(2021)A case study to standardize odor metadata obtained from coffee aroma based on E-nose using ISO/IEC 23005 (MPEG-V) for olfactory-enhanced multimediaJOURNAL OF SENSOR SCIENCE AND TECHNOLOGY10.46670/JSST.2021.30.4.20430:4(204-209)Online publication date: 31-Jul-2021
https://doi.org/10.46670/JSST.2021.30.4.204
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