UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

CARoma Therapy: Pleasant Scents Promote Safer Driving, Better Mood, and Improved Well-Being in Angry Drivers

Dmitrenko, D; Maggioni, E; Brianza, G; Holthausen, BE; Walker, BN; Obrist, M; (2020) CARoma Therapy: Pleasant Scents Promote Safer Driving, Better Mood, and Improved Well-Being in Angry Drivers. In: CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. (pp. p. 49). ACM Green open access

[thumbnail of chi20c-sub1559-cam-i16.pdf]
Preview
Text
chi20c-sub1559-cam-i16.pdf - Accepted Version

Download (3MB) | Preview

Abstract

Driving is a task that is often affected by emotions. The effect of emotions on driving has been extensively studied. Anger is an emotion that dominates in such investigations. Despite the knowledge on strong links between scents and emotions, few studies have explored the effect of olfactory stimulation in a context of driving. Such an outcome provides HCI practitioners very little knowledge on how to design for emotions using olfactory stimulation in the car. We carried out three studies to select scents of different valence and arousal levels (i.e. rose, peppermint, and civet) and anger eliciting stimuli (i.e. affective pictures and on-road events). We used this knowledge to conduct the fourth user study investigating how the selected scents change the emotional state, well-being, and driving behaviour of drivers in an induced angry state. Our findings enable better decisions on what scents to choose when designing interactions for angry drivers.

Type: Proceedings paper
Title: CARoma Therapy: Pleasant Scents Promote Safer Driving, Better Mood, and Improved Well-Being in Angry Drivers
Event: CHI '20: CHI Conference on Human Factors in Computing Systems
ISBN-13: 9781450367080
Open access status: An open access version is available from UCL Discovery
DOI: 10.1145/3313831.3376176
Publisher version: https://doi.org/10.1145/3313831.3376176
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/10112399
Downloads since deposit
375Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item