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CHI_19_LBW_Olfactory_Validation_Framework.pdf (603.58 kB)

Towards a framework for validating the matching between notifications and scents in olfactory in-car interaction

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conference contribution
posted on 2023-06-09, 17:10 authored by Dmitrijs DmitrenkoDmitrijs Dmitrenko, Emanuela Maggioni, Marianna Obrist
Olfactory notifications have been proven to have a positive impact on drivers. This has motivated the use of scents to convey driving-relevant information. Research has proposed the use of such scents as lemon, peppermint, lavender and rose for in-car notifications. However, there is no framework to identify which scent is the most suitable for every application scenario. In this paper, we propose an approach for validating a matching between scents and driving-relevant notifications. We suggest a study in which the olfactory modality is compared with a puff of clean air, visual, auditory, and tactile stimuli while performing the same driving task. For the data analysis, we suggest recording the lane deviation, speed, time required to recover from the error, as well as the perceived liking and comfort ratings. Our approach aims to help automotive UI designers make better decisions about choosing the most suitable scent, as well as possible alternative modalities.


OWidgets - Design of a new non-existing layer of information delivery through smell; G2057; EUROPEAN UNION; 737576

SenseX - Sensory Experiences for Interactive Technologies; G1589; EUROPEAN UNION; H2020-ERC-2014-STG-638605


Publication status

  • Published

File Version

  • Accepted version


CHI EA '19 Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems


Association for Computing Machinery

Event name

ACM CHI 2019

Event location

Glasgow, Scotland

Event type


Event date

4-9 May 2019



Department affiliated with

  • Informatics Publications

Research groups affiliated with

  • Creative Technology Publications

Full text available

  • Yes

Peer reviewed?

  • Yes

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