White papers from Damoov and academic research using our technology.<\\/p>
Reports that translate telematics data into actionable insights for insurers, fleets, and mobility providers.
Driving is an integral component of many operational systems, and any small improvement in driving quality can have a significant effect on accidents, traffic, pollution, and the economy in general. However, making improvements is challenging given the complexity and multidimensionality of driving as a task.\\nWe used telematics technology (i.e., real-time sensor data from accelerometer, GPS, and gyroscope in a mobile device) to measure driving performance as well as to deliver nudges to the drivers via notifications. Leveraging a smartphone application launched by our industry partners, we sent three types of performance nudges to drivers, indicating how they performed on the current trip with respect to their personal best, personal average, and latest driving performance.
Mobile and Internet-of-things (IoT) devices increasingly enable tracking of user behavior, and they often provide real-time or immediate feedback to consumers in an effort to improve their conduct. Growing adoption of such technologies leads to an important question: \\u201cDoes immediate feedback provided to users improve their behavior?\\u201d We study immediate (close to real-time) feedback in the context of automotive telematics, which has been recognized as the most disruptive technology in the automotive insurance industry.
Academic papers featuring our technology.
Jawwad Baig, Guanyi Chen, Chenghua Lin, Ehud Reiter
Ebrahim Maghsoudlou, Sruthi Rachamalla, Henry Hexmoor | Southern Illinois University Carbondale
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