Understanding drivers wellbeing: quantitative study analysis and wearable experiment.

Rony, Rahat Jahangir and Ahmed, Nova 2019. Understanding drivers wellbeing: quantitative study analysis and wearable experiment. Presented at: 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp), London, United Kingdom, 09 -13 September, 2019. Published in: Harle, Robert, Farrahi, Katayoun and Lane, Nicholas eds. Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers. New York, NY: Association for Computing Machinery, pp. 1170-1173. 10.1145/3341162.3344830

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Abstract

Driver's wellbeing has a positive impact on driving behavior and experience. Another way, driver's wellbeing depends on their daily lifestyle, demography, traffic and road conditions. Poor conditions in such factors are responsible for low wellbeing. These factors also initiate driving stress. A simple technology approach can play an important role to monitor driver's wellbeing, and help to provide better ways of increasing self-awareness regarding wellbeing. Here, we conducted a quantitative study on 88 drivers, and finally present a low cost wearable approach to support the drivers in the context of Bangladesh for better wellbeing.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Publication
Status:	Published
Schools:	Computer Science & Informatics
Publisher:	Association for Computing Machinery
ISBN:	9781450368698
Related URLs:	Organisation
Last Modified:	22 Jun 2023 13:12
URI:	https://orca.cardiff.ac.uk/id/eprint/154407

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