Improving of User Trust in Machine Learning Recommender-Based Business Applications Through UI Design: A Case Study

被引：0

作者：

JingWen, Emily Mai ^{[1
]}

Yap, Benjamin ^{[1
]}

Fu, Steven ^{[1
]}

机构：

[1] SAP, Leonardo, ML, Singapore, Singapore

来源：

HCI IN BUSINESS, GOVERNMENT, AND ORGANIZATIONS | 2018年 / 10923卷

关键词：

User experience design; User-centered research model; Trust; User acceptance; Human-industry application development; Machine learning (ML) recommender application design;

D O I：

10.1007/978-3-319-91716-0_56

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Our work focuses on user trust and the impact of UI design on business professionals' level of engagement when using Machine Learning (ML) recommender applications to accomplish their business tasks. In order to achieve the purpose, the case study is Resume Matching; a web-based application which aims to provide recommendations of the best matched talents for recruiters. Due to the nature of the service provided by Resume Matching and its target users, we need to design its UI to engage recruiters to gain trust on the automatic recommendation. Till this end, we have created an iterative and incremental process of designing and testing the UI components of Resume Matching. This paper presents our design and testing processes, our findings and a set of guidelines on Machine Learning User Trust Improvement (ML-UTI) Research Model for increasing user trust level to end users through effective UI design.

引用

页码：715 / 729

页数：15