AutoAIViz: Opening the blackbox of automated artificial intelligence with conditional parallel coordinates
- Daniel Karl I. Weidele
- Justin Weisz
- et al.
- 2020
- IUI 2020
Conference paper
Publications
149 results for Michael Muller
How data scientists work together with domain experts in scientific collaborations: To find the right answer or to ask the right qestion?
- Yaoli Mao
- Dakuo Wang
- et al.
- 2019
- PACM HCI
PaperTeaching robots to act and converse in physical spaces: Participatory design fictions with museum guides
- Heloisa Candello
- Mauro Pichiliani
- et al.
- 2019
- HTTF 2019
Conference paperLearning from team and group diversity: Nurturing and benefiting from our heterogeneity
- Michael Muller
- Nigini Oliveira
- et al.
- 2019
- CSCW 2019
Conference paperQualitative methods for CSCW: Challenges and opportunities
- Casey Fiesler
- Jed R. Brubaker
- et al.
- 2019
- CSCW 2019
Conference paperHuman-AI collaboration in data science: Exploring data scientists’ perceptions of automated AI
- Dakuo Wang
- Justin Weisz
- et al.
- 2019
- PACM HCI
PaperEnvisioning futures of practice-centered computing
- Ingrid Erickson
- Myriam Lewkowicz
- et al.
- 2019
- ECSCW 2019
Conference paperChinclusion: Working towards a more inclusive HCI community
- Angelika Strohmayer
- Velvet Spors
- et al.
- 2019
- CHI EA 2019
Conference paperHuman-centered study of data science work practices
- Michael Muller
- Timothy George
- et al.
- 2019
- CHI EA 2019
Conference paperHow data science workers work with data
- Michael Muller
- Ingrid Lange
- et al.
- 2019
- CHI 2019
Conference paper