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Vehicular lifelogging provides us with the opportunity to digitally record life associated with our journeys on the road. Driving on the road is an integral part of life, and it should be given unparalleled attention to log life bits on the road for many purposes, including safety, entertainment, memory augmentation, and analyzing driving behaviors. Various technologies have been used to assist people in capturing live events such as wearable devices, biometric devices, fitness devices, non-visual wearable, and unwearable devices. These devices have played a vital role in capturing the life events of individuals. However, little attention has been given to capturing and recording events related to a person's life on the road. By using a vehicle's integrated sensors along with other auxiliary devices, a vehicle can very conveniently capture personal as well as vehicle-related data of the driver. This research aims to propose a framework, termed as AutoLog, which is implemented in the Android platform and can be installed on any android-based smartphones/tablets or a vehicle's infotainment system. AutoLog is capable of logging the driver activities and vehicle dynamics along with several varying environmental contexts. The proposed solution is evaluated through an empirical study by collecting data from 63 drivers. Different tests, i.e., descriptive tabulation, Cronbach alpha, Kendall's tau-b, and Principal Component Factor Analysis (PCFA) have been carried out to analyze the data. These tests are significant, and the findings show that the use of AutoLog application has a positive perception in terms of attitude, ease of use, user satisfaction, and intention to use. Besides, the findings also prove that the proposed solution helped the drivers in improving risky driving behavior.

AutoLog: Toward the Design of a Vehicular Lifelogging Framework for Capturing, Storing, and Visualizing LifeBits