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That Scent Evokes an Image—On the Impact of Olfactory Cues on User Image Recall in Digital Multisensory Environments.
- Source :
-
International Journal of Human-Computer Interaction . Oct2024, Vol. 40 Issue 20, p6359-6373. 15p. - Publication Year :
- 2024
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Abstract
- In traditional digital filing systems, people mostly use text as a key to categorise images, and retrieve them in the future. The use of other media as keys for image retrieval is rarely used, notwithstanding that multisensory digital media – mulsemedia – can be harnessed to improve users' performance and help them to retrieve their images. In this respect, olfactory media (engaging the sense of smell) is an example, as people can categorise their images by using congruent olfactory media. Accordingly, we investigated the impact of employing olfactory media as a key for retrieving a set of images. Moreover, we also studied the impact of the usage of olfactory media in this context on a user's performance and Quality of Experience (QoE). To this end, we developed an olfactory-enhanced application (SCENT2IMAGE) in which olfactory media was emitted alongside a 5X5 matrix of images, of which users had to recognize 4 images congruent with the emitted scents. Furthermore, we developed a word-only version of the application (WORD2IMAGE) in which words alone were used as an equivalent key instead of olfactory media. Forty-four participants were invited and took part in our experiment, evenly split into a control and experimental group. Results highlight that using olfactory media does have a significant impact on user performance by helping them find related images. Moreover, using olfactory effects in this context was also found to enhance user QoE. Lastly, our findings underscore that users were willing to use olfactory-enhanced applications for categorizing/retrieving their albums and images. [ABSTRACT FROM AUTHOR]
- Subjects :
- *DIGITAL technology
*IMAGE retrieval
*EXPERIMENTAL groups
*CONTROL groups
*SENSES
Subjects
Details
- Language :
- English
- ISSN :
- 10447318
- Volume :
- 40
- Issue :
- 20
- Database :
- Academic Search Index
- Journal :
- International Journal of Human-Computer Interaction
- Publication Type :
- Academic Journal
- Accession number :
- 180301647
- Full Text :
- https://doi.org/10.1080/10447318.2023.2254618