Any safety system becomes significantly more useful when it not only helps prevent dangerous situations but also allows users to analyze their own behavior. Many people do not even realize how often they use their smartphones while walking or how much this can increase the risk of accidents. That is why the Smombie Assistant module includes a safety statistics section. It allows users to evaluate their own habits, identify potentially dangerous patterns, and change their behavior when necessary. Unlike ordinary smartphone usage statistics, these data focus specifically on pedestrian safety and show how consciously a person uses their device while moving.
Viewing period
To allow users to analyze their habits over both short and extended periods, the safety statistics provide several viewing options: day, week, month, and all time. This approach makes it possible to evaluate both daily activity and long-term changes in behavior. For example, users can see whether they have started using their smartphones less often while walking after activating the module or whether their habits have remained largely unchanged.
Distance walked with the screen on
This metric shows the total distance a user has walked while the smartphone screen was on. These moments are particularly important from a safety perspective because the person's attention may be partially or completely focused on the device rather than on their surroundings. Over time, this metric helps users understand how often they expose themselves to potential risks while moving through the streets.
Walking time with the screen on
In addition to distance, another important metric is the total amount of time a user has spent walking with the smartphone screen on. Even when the distance covered is relatively short, prolonged smartphone use while walking indicates a high level of distraction. This metric allows users to objectively evaluate how many minutes or hours they have actually spent in potentially dangerous situations.
Percentage of walking time with the screen on
Absolute values do not always provide an objective picture of the level of risk. That is why the module calculates the percentage of walking time during which the screen was on relative to the user's total smartphone usage time, both while moving and while stationary. This makes the statistics easier to understand and allows users to compare data across different periods regardless of their duration. The lower this percentage, the safer the user's smartphone habits while walking can be considered.
Number of danger warnings
This metric shows the total number of warnings generated by the Smombie Assistant module after detecting potentially dangerous objects or areas in the pedestrian's path. It helps users understand how often they encounter situations that require increased attention. A high number of warnings does not necessarily indicate unsafe behavior, since much depends on the characteristics of the urban environment and the user's usual routes. However, when combined with other metrics, this information provides a more complete picture of the user's level of risk.
Number of ignored warnings
One of the most important metrics is the number of warnings that the user failed to respond to. If a person continues walking with the screen on after receiving a warning, the module can consider the warning to have been ignored. This metric may provide one of the clearest indications of how seriously the user responds to their own safety. A decrease in the number of ignored warnings over time may indicate that the user is developing more attentive and responsible habits.
Number of smartphone drops
Dropping a smartphone while walking can often be the result of an unexpected situation, a sudden movement, or a loss of concentration. In many cases, a dropped smartphone may indicate that the pedestrian collided with an obstacle or fell as a result of ignoring a warning. Therefore, the number of such incidents can be considered an indirect indicator of accidents occurring while using a smartphone.
Even when the user does not suffer an injury, the fact that the device was dropped indicates that the situation temporarily got out of control. Tracking this metric makes it possible to determine how often such incidents occur and whether their frequency changes after the user starts using the Smombie Assistant module.
Conclusion
Safety statistics make the Smombie Assistant module not only a system for warning users about potential dangers but also a tool for developing greater awareness of their own habits. They allow users to see an objective picture of their behavior while walking with a smartphone and draw attention to patterns that would normally go unnoticed in everyday life. A gradual reduction in smartphone use while walking, fewer ignored warnings, and a decrease in other potentially dangerous incidents could become a meaningful indication that the module is helping make everyday walks safer.