Stebėti
Michael Muller
Michael Muller
IBM Research
Patvirtintas el. paštas us.ibm.com
Pavadinimas
Cituota
Cituota
Metai
Participatory design
MJ Muller, S Kuhn
Communications of the ACM 36 (6), 24-28, 1993
29001993
Motivations for social networking at work
J DiMicco, DR Millen, W Geyer, C Dugan, B Brownholtz, M Muller
Proceedings of the 2008 ACM conference on Computer supported cooperative …, 2008
10862008
Make new friends, but keep the old: recommending people on social networking sites
J Chen, W Geyer, C Dugan, M Muller, I Guy
Proceedings of the SIGCHI conference on human factors in computing systems …, 2009
6802009
Getting our head in the clouds: toward evaluation studies of tagclouds
AW Rivadeneira, DM Gruen, MJ Muller, DR Millen
Proceedings of the SIGCHI conference on Human factors in computing systems …, 2007
5692007
Next steps for value sensitive design
A Borning, M Muller
Proceedings of the SIGCHI conference on human factors in computing systems …, 2012
4592012
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
4582021
Participatory practices in the software lifecycle
MJ Muller, JH Haslwanter, T Dayton
Handbook of human-computer interaction, 255-297, 1997
4531997
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
4352019
PICTIVE—an exploration in participatory design
MJ Muller
Proceedings of the SIGCHI conference on Human factors in computing systems …, 1991
3871991
How data science workers work with data: Discovery, capture, curation, design, creation
M Muller, I Lange, D Wang, D Piorkowski, J Tsay, QV Liao, C Dugan, ...
Proceedings of the 2019 CHI conference on human factors in computing systems …, 2019
3352019
Understanding the benefit and costs of communities of practice
DR Millen, MA Fontaine, MJ Muller
Communications of the ACM 45 (4), 69-73, 2002
3342002
How do data science workers collaborate? roles, workflows, and tools
AX Zhang, M Muller, D Wang
Proceedings of the ACM on Human-Computer Interaction 4 (CSCW1), 1-23, 2020
3072020
Taxonomy of PD practices: A brief practitioner's guide
MJ Muller, DM Wildman, EA White
Commun. ACM 36 (6), 26-28, 1993
2921993
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
2792023
Multi-column user interface for managing on-line threaded conversations
EA Brownholtz, W Geyer, BJ Kerr, DR Millen, M Muller, EM Wilcox, AJ Witt
US Patent 7,356,772, 2008
2472008
Participatory design
S Kuhn, MJ Muller
Communications of the ACM 36 (6), 24-29, 1993
2051993
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
1982022
ICICLE: Groupware for code inspection
L Brothers, V Sembugamoorthy, M Muller
Proceedings of the 1990 ACM conference on Computer-supported cooperative …, 1990
1921990
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
1802020
Curiosity, creativity, and surprise as analytic tools: Grounded theory method
M Muller
Ways of Knowing in HCI, 25-48, 2014
1742014
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Straipsniai 1–20