HCNov 3, 2020

Understanding Usability and User Acceptance of Usage-Based Insurance from Users' View

arXiv:2011.01644v12 citations
AI Analysis

This addresses usability and safety concerns for UBI users, but it is incremental as it builds on existing ITS research without introducing new methods.

The study investigated user acceptance and usability of Usage-Based Insurance (UBI) systems, finding that UBI can provoke dangerous driving behavior under certain circumstances, which could be mitigated by transparency and customizable feedback.

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.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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