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cs.HC2024
Aligning Judgment Using Task Context and Explanations to Improve Human-Recommender System Performance
Divya Srivastava, Karen M. Feigh
Recommender systems, while a powerful decision making tool, are often operationalized as black box models, such that their AI algorithms are not accessible or interpretable by huma…
cs.HC2023
Improving Operator Situation Awareness when Working with AI Recommender Systems
Divya K. Srivastava, J. Mason Lilly, Karen M. Feigh
AI recommender systems are sought for decision support by providing suggestions to operators responsible for making final decisions. However, these systems are typically considered…