Tracking the mobility behavior of participants with smartphones to determine the CO2 emissions is an overcharging task for researchers. In a fleet test with 52 participants, 9968 datasets were generated, making the manual analysis a long-lasting endeavor. With our work, we are attempting to reduce the analysis time of the generated data and provide in the same way immediate feedback to the participants. We propose an automated mobility tracking system that makes use of a track analyzer that identifies the mode of mobility to calculate CO2 emissions. We will describe the system functions, how the datasets are collected, processed and led back to the users. Based on the setup, calculation accuracy and the feedback from the participants, benefits for user studies in the automotive context are identified. This system will influence the setup of future large data user studies with smartphones.     «

Tracking the mobility behavior of participants with smartphones to determine the CO2 emissions is an overcharging task for researchers. In a fleet test with 52 participants, 9968 datasets were generated, making the manual analysis a long-lasting endeavor. With our work, we are attempting to reduce the analysis time of the generated data and provide in the same way immediate feedback to the participants. We propose an automated mobility tracking system that makes use of a track analyzer that iden...     »