| Human-AI collaboration in data science: Exploring data scientists' perceptions of automated AI D Wang, JD Weisz, M Muller, P Ram, W Geyer, C Dugan, Y Tausczik, ... Proceedings of the ACM on human-computer interaction 3 (CSCW), 1-24, 2019 | 353 | 2019 |
| Expanding explainability: Towards social transparency in ai systems U Ehsan, QV Liao, M Muller, MO Riedl, JD Weisz Proceedings of the 2021 CHI conference on human factors in computing systems …, 2021 | 342 | 2021 |
| Resilient chatbots: Repair strategy preferences for conversational breakdowns Z Ashktorab, M Jain, QV Liao, JD Weisz Proceedings of the 2019 CHI conference on human factors in computing systems …, 2019 | 272 | 2019 |
| Watching together: integrating text chat with video JD Weisz, S Kiesler, H Zhang, Y Ren, RE Kraut, JA Konstan Proceedings of the SIGCHI conference on Human factors in computing systems …, 2007 | 203 | 2007 |
| The programmer’s assistant: Conversational interaction with a large language model for software development SI Ross, F Martinez, S Houde, M Muller, JD Weisz Proceedings of the 28th International Conference on Intelligent User …, 2023 | 176 | 2023 |
| Investigating explainability of generative AI for code through scenario-based design J Sun, QV Liao, M Muller, M Agarwal, S Houde, K Talamadupula, ... Proceedings of the 27th International Conference on Intelligent User …, 2022 | 142 | 2022 |
| Trust in AutoML: exploring information needs for establishing trust in automated machine learning systems J Drozdal, J Weisz, D Wang, G Dass, B Yao, C Zhao, M Muller, L Ju, H Su Proceedings of the 25th international conference on intelligent user …, 2020 | 140 | 2020 |
| Perfection not required? Human-AI partnerships in code translation JD Weisz, M Muller, S Houde, J Richards, SI Ross, F Martinez, M Agarwal, ... Proceedings of the 26th International Conference on Intelligent User …, 2021 | 113 | 2021 |
| In AI we trust? Factors that influence trustworthiness of AI-infused decision-making processes M Ashoori, JD Weisz arXiv preprint arXiv:1912.02675, 2019 | 101 | 2019 |
| Autods: Towards human-centered automation of data science D Wang, J Andres, JD Weisz, E Oduor, C Dugan Proceedings of the 2021 CHI conference on human factors in computing systems …, 2021 | 75 | 2021 |
| Toward general design principles for generative AI applications JD Weisz, M Muller, J He, S Houde arXiv preprint arXiv:2301.05578, 2023 | 72 | 2023 |
| Tracking drone orientation with multiple GPS receivers M Gowda, J Manweiler, A Dhekne, RR Choudhury, JD Weisz Proceedings of the 22nd annual international conference on mobile computing …, 2016 | 69 | 2016 |
| AutoAIViz: opening the blackbox of automated artificial intelligence with conditional parallel coordinates DKI Weidele, JD Weisz, E Oduor, M Muller, J Andres, A Gray, D Wang Proceedings of the 25th International Conference on Intelligent User …, 2020 | 59 | 2020 |
| Documentation matters: Human-centered ai system to assist data science code documentation in computational notebooks AY Wang, D Wang, J Drozdal, M Muller, S Park, JD Weisz, X Liu, L Wu, ... ACM Transactions on Computer-Human Interaction 29 (2), 1-33, 2022 | 58 | 2022 |
| Better together? an evaluation of ai-supported code translation JD Weisz, M Muller, SI Ross, F Martinez, S Houde, M Agarwal, ... Proceedings of the 27th International Conference on Intelligent User …, 2022 | 55 | 2022 |
| Detecting and notifying of various potential hazards DW McCleary, SM Rosato, JO Uchidiuno, W Xiying, JD Weisz US Patent 9,858,794, 2018 | 52 | 2018 |
| System and method to operate a drone GF Boland, JR Kozloski, Y Ma, JG Manweiler, KE Siemonsen, U Topkara, ... US Patent 9,471,064, 2016 | 51 | 2016 |
| Business (mis) use cases of generative ai S Houde, V Liao, J Martino, M Muller, D Piorkowski, J Richards, J Weisz, ... arXiv preprint arXiv:2003.07679, 2020 | 47 | 2020 |
| BigBlueBot: teaching strategies for successful human-agent interactions JD Weisz, M Jain, NN Joshi, J Johnson, I Lange Proceedings of the 24th International Conference on Intelligent User …, 2019 | 45 | 2019 |
| Identifying locations of potential user errors during manipulation of multimedia content JR Kozloski, PK Malkin, CA Pickover, JD Weisz US Patent 9,262,748, 2016 | 45 | 2016 |
Michael MullerIBM ResearchVerified email at us.ibm.com
