| Improving human-AI partnerships in child welfare: understanding worker practices, challenges, and desires for algorithmic decision support A Kawakami, V Sivaraman, HF Cheng, L Stapleton, Y Cheng, D Qing, ... Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems …, 2022 | 73 | 2022 |
| How child welfare workers reduce racial disparities in algorithmic decisions HF Cheng, L Stapleton, A Kawakami, V Sivaraman, Y Cheng, D Qing, ... Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems …, 2022 | 51 | 2022 |
| Toward supporting perceptual complementarity in human-AI collaboration via reflection on unobservables K Holstein, M De-Arteaga, L Tumati, Y Cheng Proceedings of the ACM on Human-Computer Interaction 7 (CSCW1), 1-20, 2023 | 15 | 2023 |
| Training towards critical use: Learning to situate ai predictions relative to human knowledge A Kawakami, L Guerdan, Y Cheng, K Glazko, M Lee, S Carter, N Arechiga, ... Proceedings of The ACM Collective Intelligence Conference, 63-78, 2023 | 5 | 2023 |
| Patient and provider perspectives on symptom monitoring during outpatient chemotherapy: Interview study L Chen, C Bartel, X Cai, Y Cheng, A Perer, S McClaine, E Kairis, K Durica, ... JMIR Formative Research 7 (1), e46001, 2023 | 2 | 2023 |
| Extended Analysis of" How Child Welfare Workers Reduce Racial Disparities in Algorithmic Decisions" L Stapleton, HF Cheng, A Kawakami, V Sivaraman, Y Cheng, D Qing, ... arXiv preprint arXiv:2204.13872, 2022 | 2 | 2022 |
