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Bursting Scientific Filter Bubbles: Boosting Innovation via Novel Author Discovery.

, , , , , and . CHI, page 309:1-309:13. ACM, (2022)

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Exploring The Role of Local and Global Explanations in Recommender Systems., , , , and . CoRR, (2021)Exploring How Anomalous Model Input and Output Alerts Affect Decision-Making in Healthcare., , , and . CoRR, (2022)How End Users Express Conditionals in Programming by Demonstration for Mobile Apps., , and . VL/HCC, page 311-312. IEEE Computer Society, (2018)Bridger: Toward Bursting Scientific Filter Bubbles and Boosting Innovation via Novel Author Discovery., , , , , and . CoRR, (2021)Exploring the Role of Local and Global Explanations in Recommender Systems., , , , and . CHI Extended Abstracts, page 290:1-290:7. ACM, (2022)"I Think You Might Like This": Exploring Effects of Confidence Signal Patterns on Trust in and Reliance on Conversational Recommender Systems., , , , and . FAccT, page 792-804. ACM, (2023)Bursting Scientific Filter Bubbles: Boosting Innovation via Novel Author Discovery., , , , , and . CHI, page 309:1-309:13. ACM, (2022)PUMICE: A Multi-Modal Agent that Learns Concepts and Conditionals from Natural Language and Demonstrations., , , , , and . UIST, page 577-589. ACM, (2019)The Story in the Notebook: Exploratory Data Science using a Literate Programming Tool., , , , and . CHI, page 174. ACM, (2018)