Supporting job mediator and job seeker through an actionable dashboard

AI-Assisted Decision-Making & AutomationRecommender System UXInteractive Data VisualizationUniversity Professors & ResearchersUI/UX Designers

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.

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https://hci.top/en/papers/iui/4243/2019

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Source
IUI
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Year
2019
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Authors
3 authors
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Subtopics
AI-Assisted Decision-Making & Automation, Recommender System UX, Interactive Data Visualization
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Professions
University Professors & Researchers, UI/UX Designers
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Content Status
Abstract only
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