Exploring explainability formats to aid decision-making in dairy farming systems

Abstract

In this paper, we examine different approaches to explaining decision support in herd management systems for their effects on comprehensibility and trust. To this end, we present a hypothetical system for assessing the risk of mastitis, a common infectious disease in dairy cattle. For this system, we design four explanation formats to present risk assessments to farmers. We collect their feedback in a survey to get suggestions for designing systems that are well accepted. In our work, it was not possible to identify one explanation format that is preferable to all others. Rather, a finding was that herd management systems should optimally support multiple explanation formats and allow switching between them depending on the situation.

Publication
  1. GIL - Jahrestagung, Biodiversität fördern durch digitale Landwirtschaft