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24th International Conference on Intelligent User Interfaces (IUI '19), Date: 2019/03/16 - 2019/03/20, Location: Los Angeles, USA

Publication date: 2019-01-01
Volume: Part F147615 Pages: 121 - 131
ISBN: 978-1-4503-6272-6
Publisher: ACM

Proceedings of the 24th International Conference on Intelligent User Interfaces

Author:

Charleer, Sven
Gutiérrez Hernández, Francisco ; Verbert, Katrien ; Fu, Wai-Tat ; Pan, Shimei ; Brdiczka, Oliver ; Chau, Polo ; Calvary, Gaelle

Keywords:

Science & Technology, Technology, Computer Science, Software Engineering, Computer Science, Theory & Methods, Computer Science, Recommender systems, information dashboards, HCI, explanations, RECOMMENDATION, INFORMATION, C24/16/017#53766061

Abstract:

Job mediation services can assist job seekers in finding suitable employment through a personalised approach. Consultation or mediation sessions, supported by personal profile data of the job seeker, help job mediators understand personal situation and requests. Prediction and recommendation systems can directly provide job seekers with possible job vacancies. However, incorrect or unrealistic suggestions, and bad interpretations can result in bad decisions or demotivation of the job seeker. This paper explores how an interactive dashboard visualising prediction and recommendation output can help support the dialogue between job mediator and job seeker, by increasing the "explainability'' and providing mediators with control over the information that is shown to job seekers.