Human-Centric Decision Support Tools: Insights from Real-World Design and Implementation
Narges Ahani (1), Andrew C. Trapp (1, 2) ((1) Data Science, Program, Worcester Polytechnic Institute, Worcester, MA, (2) WPI Business, School, Worcester Polytechnic Institute, Worcester, MA)

TL;DR
This paper emphasizes the importance of stakeholder-centered design in creating effective decision support tools, highlighting how listening to user needs enhances trust, acceptance, and decision-making outcomes across various contexts.
Contribution
It advocates for stakeholder-focused design approaches in decision support tools, emphasizing trust-building and practical lessons from real-world examples.
Findings
Stakeholder engagement improves tool acceptance.
Trust is critical for successful adoption.
Listening to user needs enhances decision outcomes.
Abstract
Decision support tools enable improved decision-making for challenging decision problems by empowering stakeholders to process, analyze, visualize, and otherwise make sense of a variety of key factors. Their intentional design is a critical component of the value they create. All decision-support tools share in common that there is a complex decision problem to be solved for which decision-support is useful, and moreover, that appropriate analytics expertise is available to produce solutions to the problem setting at hand. When well-designed, decision support tools reduce friction and increase efficiency in providing support for the decision-making process, thereby improving the ability of decision-makers to make quality decisions. On the other hand, the presence of overwhelming, superfluous, insufficient, or ill-fitting information and software features can have an adverse effect on…
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Taxonomy
TopicsHuman-Automation Interaction and Safety · Data Quality and Management · Big Data and Business Intelligence
