Understanding Usability and User Acceptance of Usage-Based Insurance from Users' View
November 03, 2020 Β· Declared Dead Β· π Machine Learning for Multimodal Interaction
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Authors
Juan Quintero, Zinaida Benenson
arXiv ID
2011.01644
Category
cs.HC: Human-Computer Interaction
Citations
2
Venue
Machine Learning for Multimodal Interaction
Last Checked
4 months ago
Abstract
Intelligent Transportation Systems (ITS) cover a variety of services related to topics such as traffic control and safe driving, among others. In the context of car insurance, a recent application for ITS is known as Usage-Based Insurance (UBI). UBI refers to car insurance policies that enable insurance companies to collect individual driving data using a telematics device. Collected data is analysed and used to offer individual discounts based on driving behaviour and to provide feedback on driving performance. Although there are plenty of advertising materials about the benefits of UBI, the user acceptance and the usability of UBI systems have not received research attention so far. To this end, we conduct two user studies: semi-structured interviews with UBI users and a qualitative analysis of 186 customer inquiries from a web forum of a German insurance company. We find that under certain circumstances, UBI provokes dangerous driving behaviour. These situations could be mitigated by making UBI transparent and the feedback customisable by drivers. Moreover, the country driving conditions, the policy conditions, and the perceived driving style influence UBI acceptance.
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