## 2 Related Work  
According to the literature, several works have been developing different research in order to address the problem related to \"texting and driving\". [PERSON] et al. [6] investigated the pattern of eye movement of drivers in a process of collision avoidance from the rear under the influence of driver distraction induced by cell phones using the driving simulator of the Beijing Jiaotong University (BJTU), which was projected through a 300-degree front/peripheral field of view at a resolution of 1400 \(\times\) 1050 pixels, and the eye-tracking system mounted on the head, Eye tracking glasses SensoMotoric Instruments (SMI ETG), to collect eye movement data. The study showed that the distraction of tasks that were not of visual demand could also interrupt the visual attention of the drivers to the source of danger due to the multiple tasks superimposed between the manual operation (adjustment of the force exerted on the brake pedal) and the cognitive activities (calculation of arithmetic problems). [PERSON] et al. [7] developed an algorithm to detect driving behavior in two distracting tasks, sending text messages and eating or drinking. Using a simulator, subjects performed a series of tasks while driving the simulation; then, 10 characteristics related to vehicle acceleration, steering angle, speed, etc. were used as input data. Then, three data mining techniques were used: linear discriminant analysis (LDA), logistic regression (LR) and support vector machine (SVM). Results showed that the SVM algorithm outperformed LDA and LR, in the detection of distractions related to texting and eating/drinking with an accuracy of 84.33% and 79.53%, respectively. The false alarm rates for these SVM algorithms were 15.77% and 23.54%, respectively. On the other hand, telephone conversations while driving are another type of distraction. [PERSON] et al. [8] focused on proactive alert and mediation through voice communication. The authors studied the effect of indicating the next critical conditions of the road and placing the calls on hold while driving; quantitative data was collected, such as the number of errors during the turn and collisions, as a measure of driving performance. Results show that context-sensitive mediation systems could play a valuable role in focusing the driver's attention on the road during telephone conversations. [PERSON] et al. [9] studied the relationship between the performance of secondary tasks, including the use of cell phones, and the risk of collisions and near collisions, measured through different sensors such as accelerometers, cameras, global positioning systems, among others. The results obtained show that the most critical risk of a collision or a near collision between novice drivers is when they were dialing a number on a cell phone (odds ratio = 8.32, 95% confidence interval (CI), 2.83 to 24.42), reaching an object other than a cell phone (odds ratio = 8.00; 95% CI, 3.67 to 17.50) and among experienced drivers; the dialing of a mobile phone was associated with a significantly greater risk of a fall or near-fall (Probability ratio = 2.49, 95% CI, 1.38 to 4.54). [PERSON] et al. [10] described the frequency of the cell phone related to distracted driving behaviors. They reported a reading or writing activity on the cell phone within the previous 30 days, with reading texts (48%), writing texts (33%) and viewing maps (43%) reported more frequently. Only 4.9% of respondents had enrolled in a program aimed at reducing distracted driving related to the cell phone. Based on this, some technology approaches intend to reduce the dangers of distracted driving, working to dissuade people from texting while driving. An example of the technological advances that try to reduce the accident rate with text messages is the Driver's Distraction Prevention Dock (DDD Dock). DDD Dock is a device that can be used as a method to prevent drivers from texting while driving, putting the driver's phone out of sight and out of reach. The car will not start unless your phone is on the dock.