Argumentation for Explainable Workforce Optimisation (with Appendix)
Jennifer Leigh, Dimitrios Letsios, Alessandro Mella, Lucio Machetti, Francesca Toni

TL;DR
This paper presents an argumentation-based approach to workforce management that enhances explainability and adaptability, demonstrated through a user study showing improved problem-solving speed and accuracy.
Contribution
It introduces a novel argumentation framework for workforce optimization that provides faithful explanations and handles changes during execution.
Findings
User study shows faster problem solving
Explanations improve stakeholder understanding
Framework accommodates changes effectively
Abstract
Workforce management is a complex problem involving the optimisation of the makespan and travel distance required for a team of operators to complete a set of jobs, using a set of instruments. A crucial challenge in workforce management is accommodating changes at execution time so that explanations are provided to all stakeholders involved. Here, we show that, by understanding workforce management as abstract argumentation in an industrial application, we can accommodate change and obtain faithful explanations. We show, with a user study, that our tool and explanations lead to faster and more accurate problem solving than conventional manual approaches.
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Taxonomy
TopicsData Visualization and Analytics · Constraint Satisfaction and Optimization · Personal Information Management and User Behavior
