||Running is not limited to the environment, time constraints, whether on the runway or in urban roads, is a physical exercise that can be performed at any time. With arose of awareness of health, people are starting to blend sports in their daily lives. Road running has become a very popular sport in different countries, and the proportion of people running in the streets is getting higher and higher every day. With the rapid development of information and the popularity and rapid update of smart phones, people have relied heavily on mobile devices to handle various transactions and receive and respond to instant messages. Smart phones and mobile apps are already inseparable from people's lives. There have been many literature studies point out that using a mobile phone to talk or text messages while walking will change the gait of pedestrians and increase the risk of pedestrians crossing the road. However, there is not much research on study the impact of running while using mobile application. The stimuli received by the runners during the road run increase, and the information that needs to be processed also increases. The runner not only maintains the gait, balance and other systemic adjustments and performs the task of risk perception on the road, but also receives the application with visual or auditory multi-sensory stimulation, which is a dual task. Because the distraction makes the runner ignore the danger on the road, the possibility of accidents will increase.
This study adopts the method of 2 x 4 factorial design, with different running zone, and different multi-tasking as the inter-group factor tested. And use Signal Detection Theory to understand the impact of the using APP on hazard perception between road runs, and the impact of different running zone and hazard perception under different interface tasks, and also discusses whether the runner's self assessment of the ability is different from the actual performance.
The results show that the sensitivity and response time of road hazards will be different by mobile phone tasks. Typing is the most influential, second is watching videos, and last is reading the news feed; The effect of different running zone is not obvious. In addition, in terms of the self-assessment of the runner's ability load, it is different from the actual performance. In the future, in the mobile phone mode, it is possible to introduce the design of the mobile user experience design.