Mike Schaekermann
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
12
Venues
5
Active years
2017–2026
Best venue rank
A*
Where they publish
Papers
12 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | CHI | Towards Better Health Conversations: The Benefits of Context-seeking. | Rory Sayres, Yuexing Hao, Abbi Ward, Amy Wang, Beverly Freeman, Serena Zhan, Diego Ardila, Jimmy Li, I-Ching Lee, Anna Iurchenko, Siyi Kou, Kartikeya Badola, Jimmy Hu, Bhawesh Kumar, Keith Y. Johnson, Supriya Vijay, Justin Krogue, Avinatan Hassidim, Yossi Matias, Dale R. Webster, Sunny Virmani, Yun Liu, Quang Duong, Mike Schaekermann |
| 2025 | CHI | Navigating Skin Concerns with AI: A Human-Centered Investigation of a Dermatology App in a Diverse Community. | Rory Sayres, Anna Devon-Sand, Mike Schaekermann, Margaret Ann Smith, Patricia Strachan, Grace Eunhae Hong, Trinh Nguyen, Doris Wong, Naama Hammel, Dawn Siegel, Kexin Ren, Chelsea Belletieri, Vijaytha Muralidharan, Rajeev Rikhye, Yuan Liu, Beverly Freeman, Mike Gonzlez, Nathan Ashcraft, Heidi Cho, Jimmy Li, Shweta Oak, Megan Shum, Abbi Ward, Yossi Matias, Gregory S. Corrado, Dale R. Webster, Peggy Bui, Preeti Singh, Yun Liu, Justin Ko, Steven Lin |
| 2025 | CHI | Generative AI for medical education: Insights from a case study with medical students and an AI tutor for clinical reasoning. | Amy Wang, Roma Ruparel, Anna Iurchenko, Paul Jhun, Julie Anne Sguin, Patricia Strachan, Renee Wong, Alan Karthikesalingam, Yossi Matias, Avinatan Hassidim, Dale R. Webster, Christopher Semturs, Jonathan Krause, Mike Schaekermann |
| 2024 | CHI | Conversational AI in health: Design considerations from a Wizard-of-Oz dermatology case study with users, clinicians and a medical LLM. | Brenna Li, Amy Wang, Patricia Strachan, Julie Anne Sguin, Sami Lachgar, Karyn C. Schroeder, Mathias S. Fleck, Renee Wong, Alan Karthikesalingam, Vivek Natarajan, Yossi Matias, Gregory S. Corrado, Dale R. Webster, Yun Liu, Naama Hammel, Rory Sayres, Christopher Semturs, Mike Schaekermann |
| 2021 | CSCW | Investigating and Mitigating Biases in Crowdsourced Data. | Danula Hettiachchi, Mark Sanderson, Jorge Gonalves, Simo Hosio, Gabriella Kazai, Matthew Lease, Mike Schaekermann, Emine Yilmaz |
| 2020 | CHI | Ambiguity-aware AI Assistants for Medical Data Analysis. | Mike Schaekermann, Graeme Beaton, Elaheh Sanoubari, Andrew Lim, Kate Larson, Edith Law |
| 2020 | CHI | Expert Discussions Improve Comprehension of Difficult Cases in Medical Image Assessment. | Mike Schaekermann, Carrie J. Cai, Abigail E. Huang, Rory Sayres |
| 2019 | WWW | Capturing Expert Arguments from Medical Adjudication Discussions in a Machine-readable Format. | Mike Schaekermann, Graeme Beaton, Minahz Habib, Andrew Lim, Kate Larson, Edith Law |
| 2018 | HCOMP | Expert Disagreement in Sequential Labeling: A Case Study on Adjudication in Medical Time Series Analysis. | Mike Schaekermann, Edith Law, Kate Larson, Andrew Lim |
| 2017 | CHI | Designing for Curiosity: An Interdisciplinary Workshop. | Edith Law, Pierre-Yves Oudeyer, Ming Yin, Mike Schaekermann, Alex C. Williams |
| 2017 | CHI | Testing Incremental Difficulty Design in Platformer Games. | Rina R. Wehbe, Elisa D. Mekler, Mike Schaekermann, Edward Lank, Lennart E. Nacke |
| 2017 | ICLR | Online Bayesian Transfer Learning for Sequential Data Modeling. | Priyank Jaini, Zhitang Chen, Pablo Carbajal, Edith Law, Laura Middleton, Kayla Regan, Mike Schaekermann, George Trimponias, James Tung, Pascal Poupart |