Smell-O-Message: integration of olfactory notifications into a messaging application to improve users' performance
- Submitting institution
-
University of Sussex
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 388079_78397
- Type
- E - Conference contribution
- DOI
-
10.1145/3242969.3242975
- Title of conference / published proceedings
- ICMI '18: Proceedings of the 20th ACM International Conference on Multimodal Interaction
- First page
- 45
- Volume
- -
- Issue
- -
- ISSN
- -
- Open access status
- -
- Month of publication
- October
- Year of publication
- 2018
- URL
-
https://doi.org/10.1145/3242969.3242975
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
3
- Research group(s)
-
-
- Citation count
- 7
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- "This research illustrates key advantages of integrating smell as a novel notification modality. It combines advances in software and hardware integration into an existing system (Slack [1]) with novel empirical data on scent-association training. The work has extensively informed follow-up research and commercialisation efforts that resulted in an International (PCT) patent application (WO2019/207298 [2]), the creation of a start-up (OWidgets LtD [3]), and a follow-up journal publication [4] on the software architecture that resulted from the first implementation described here. Field-weighted citation impact 6.06 (Scopus).
[1] https://slack.com/intl/en-gb/
[2] https://patentscope.wipo.int/search/en/detail.jsf?docId=WO2019207298&tab=PCTBIBLIO&_cid=P12-K5MC5N-10774-1
[3] https://owidgets.co.uk/
[4] https://www.sciencedirect.com/science/article/pii/S1071581919300825"
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -