Impact of Driver Age and Experience in Software Usage on Driving Safety and Usability of Car-Sharing Software
| Autor: | Wei Wang, Suixian Yang, Jin-Yi Zhi, Chunhui Jing |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Economics and Econometrics
Article Subject Computer science Strategy and Management Applied psychology Sample (statistics) Software User experience design Distraction 0502 economics and business 0501 psychology and cognitive sciences 050107 human factors HE1-9990 050210 logistics & transportation TA1001-1280 business.industry Mechanical Engineering 05 social sciences Driving simulator Usability Driving safety Computer Science Applications Transportation engineering Automotive Engineering business Transportation and communications Cognitive load |
| Zdroj: | Journal of Advanced Transportation, Vol 2021 (2021) |
| ISSN: | 2042-3195 0197-6729 |
| DOI: | 10.1155/2021/6633379 |
| Popis: | Car-sharing economy has caused new driving safety and usability problems, which have not been well studied. This study aims at analyzing the effects of users age and the user experience (UX) of the car-sharing software (e.g., DiDi travel app) on overall usability and the level of distraction for drivers. To this end, 48 experienced Chinese drivers were recruited to perform various tasks with the car-sharing software using a driving simulator. The variables of driving safety and usability were analyzed by two-way analysis of variance (ANOVA) and independent sample Kruskal–Wallis nonparametric test. As expected, it was found that car-sharing software has a significant negative impact on driving distraction and usability. The overall performance of young drivers is better than that of the elderly, but it seems that young drivers are more likely to be led to errors by car-sharing software. In most aspects, experienced drivers perform better than inexperienced drivers and have a better in-depth understanding of car-sharing software weaknesses. However, inexperienced drivers performed better regarding braking time and interaction time. Although young inexperienced drivers performed worst in driving safety, they exhibited the lowest cognitive load and the highest interaction efficiency. The experience of using car-sharing software may improve driver’s ability to deal with driving distractions. The above conclusions provide theoretical support for optimizing the UX of car-sharing software and some references for driver’s screening and training. |
| Databáze: | OpenAIRE |
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