Marissa Radensky

According to our database, Marissa Radensky authored at least 11 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Scideator: Human-LLM Scientific Idea Generation Grounded in Research-Paper Facet Recombination.

Marissa Radensky, Simra Shahid, Raymond Fok, Pao Siangliulue, Tom Hope, Daniel S. Weld

CoRR, 2024

Let's Get to the Point: LLM-Supported Planning, Drafting, and Revising of Research-Paper Blog Posts.

Marissa Radensky, Daniel S. Weld, Joseph Chee Chang, Pao Siangliulue, Jonathan Bragg

CoRR, 2024

Mixed-Initiative Methods for Co-Creation in Scientific Research.

Marissa Radensky

Proceedings of the 16th Conference on Creativity & Cognition, 2024

2023

"I Think You Might Like This": Exploring Effects of Confidence Signal Patterns on Trust in and Reliance on Conversational Recommender Systems.

Marissa Radensky, Julie Anne Séguin, Jang Soo Lim, Kristen Olson, Robert Geiger

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

2022

Exploring How Anomalous Model Input and Output Alerts Affect Decision-Making in Healthcare.

Marissa Radensky, Dustin Burson, Rajya Bhaiya, Daniel S. Weld

CoRR, 2022

Exploring the Role of Local and Global Explanations in Recommender Systems.

Marissa Radensky, Doug Downey, Kyle Lo, Zoran Popovic, Daniel S. Weld

Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

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

Jason Portenoy, Marissa Radensky, Jevin D. West, Eric Horvitz, Daniel S. Weld, Tom Hope

Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

2021

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

Jason Portenoy, Marissa Radensky, Jevin West, Eric Horvitz, Daniel S. Weld, Tom Hope

CoRR, 2021

2019

PUMICE: A Multi-Modal Agent that Learns Concepts and Conditionals from Natural Language and Demonstrations.

Toby Jia-Jun Li, Marissa Radensky, Justin Jia, Kirielle Singarajah, Tom M. Mitchell, Brad A. Myers

Proceedings of the 32nd Annual ACM Symposium on User Interface Software and Technology, 2019

2018

How End Users Express Conditionals in Programming by Demonstration for Mobile Apps.

Marissa Radensky, Toby Jia-Jun Li, Brad A. Myers

Proceedings of the 2018 IEEE Symposium on Visual Languages and Human-Centric Computing, 2018

The Story in the Notebook: Exploratory Data Science using a Literate Programming Tool.

Mary Beth Kery, Marissa Radensky, Mahima Arya, Bonnie E. John, Brad A. Myers

Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 2018