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Computer Graphics International Conference

CGI 2019: Advances in Computer Graphics pp 155–166Cite as

Broker-Insights: An Interactive and Visual Recommendation System for Insurance Brokerage

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 11542))

Abstract

The black box nature of the recommendation systems limits the understanding and acceptance of the recommendation received by the user. In contrast, user interaction and information visualization play a key role in addressing these drawbacks. In the brokerage domain, insurance brokers offer, negotiate and sell insurance products for their customers. Support brokers into the recommendation process can improve the loyalty, profit, and marketing campaign in their client portfolio. This work presents Broker-Insights, an interactive and visualisation-based insurance products recommender system to support brokers into the decision-making (recommendation) at two levels: recommendations for a specific potential customer; and recommendations for a group of customers. Looking for offering personalized recommendations, Broker-Insights provides a tool to manage customers information in the recommendation task and a module to perform customers segmentation based on specific characteristics. With the help of an eye-tracker, we evaluated Broker-Insigths usability with ten naive users on the offline fashion and also performed an evaluation in the wild with three insurance brokers. Results achieved show that data mining methods, while combined with interactive data visualization improved the user experience and decision-making process into the recommendation task, and increased the products recommendation acceptance.

This study was partly funded by the Coordenação de Aperfeiçoamento de Pessoal de Ní­vel Superior – Brasil (CAPES) – Finance Code 001, and by the Conselho Nacional de Desenvolvimento Cientí­fico e Tecnológico (CNPq).

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Authors and Affiliations

  1. Institute of Informatics – Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil

    Paul Dany Atauchi, Luciana Nedel & Renata Galante

Authors
  1. Paul Dany Atauchi
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  2. Luciana Nedel
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  3. Renata Galante
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Corresponding author

Correspondence to Paul Dany Atauchi .

Editor information

Editors and Affiliations

  1. University of Calgary, Calgary, AB, Canada

    Marina Gavrilova

  2. Bournemouth University, Poole, UK

    Jian Chang

  3. University of Geneva, MIRALab, Carouge, Switzerland

    Nadia Magnenat Thalmann

  4. International Christian University, Tokyo, Japan

    Eckhard Hitzer

  5. Waseda University, Tokyo, Japan

    Hiroshi Ishikawa

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Atauchi, P.D., Nedel, L., Galante, R. (2019). Broker-Insights: An Interactive and Visual Recommendation System for Insurance Brokerage. In: Gavrilova, M., Chang, J., Thalmann, N., Hitzer, E., Ishikawa, H. (eds) Advances in Computer Graphics. CGI 2019. Lecture Notes in Computer Science(), vol 11542. Springer, Cham. https://doi.org/10.1007/978-3-030-22514-8_13

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  • DOI: https://doi.org/10.1007/978-3-030-22514-8_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-22513-1

  • Online ISBN: 978-3-030-22514-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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