User Experience with Big Data

成立时间：May 24, 2012

论文与出版物

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- Lessons from Pangloss: User Encounters with Uncertainty
  
  Dominik Moritz, Danyel Fisher
  
  CHI 2017 Workshop: "Designing for Uncertainty in HCI: When Does Uncertainty Help?" | May 2017
  
  论文与出版物论文与出版物
- Trust, but Verify: Optimistic Visualizations of Approximate Queries for Exploring Big Data
  
  Dominik Moritz, Danyel Fisher, Bolin Ding, Chi Wang
  
  Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems | May 2017
  
  Author's Version Publication 视频项目
- Big Data Exploration Requires Collaboration Between Visualization and Data Infrastructures
  
  Danyel Fisher
  
  HILDA 2016: Workshop on Human-In-the-Loop Data Analytics | July 2016
  
  论文与出版物论文与出版物论文与出版物
- Tempe: An Interactive Data Science Environment for Exploration of Temporal and Streaming Data
  
  Danyel Fisher, Badrish Chandramouli, Robert DeLIne, Jonathan Goldstein, Andrei Aron, Mike Barnett, John Platt, James Terwilliger, John Wernsing
  
  MSR-TR-2014-148 | November 2014
  
  论文与出版物项目
- Sample-Oriented Task-Driven Visualizations: Allowing Users to Make Better, More Confident Decisions
  
  Nivan Ferreira, Danyel Fisher, Arnd Christian König
  
  Proceedings of Conference on Human Factors in Computing Systems (CHI 2014) | April 2014
  
  论文与出版物
- Stat! – An Interactive Analytics Environment for Big Data
  
  Mike Barnett, Badrish Chandramouli, Robert DeLIne, Steven Drucker, Danyel Fisher, Jonathan Goldstein, Patrick Morrison, John Platt
  
  ACM SIGMOD International Conference on Management of Data (SIGMOD 2013) | June 2013
  
  论文与出版物项目
- Exploratory Visualization Involving Incremental, Approximate Database Queries and Uncertainty
  
  Danyel Fisher, Steven Drucker, Arnd Christian König
  
  MSR-TR-2012-134 | July 2012
  
  IEEE Computer Graphics and Applications
  
  论文与出版物
- Trust Me, I’m Partially Right: Incremental Visualization Lets Analysts Explore Large Datasets Faster
  
  Danyel Fisher, Igor Popov, Steven Drucker, mc schraefel
  
  Proceedings of the 2012 Conference on Human Factors in Computing Systems (CHI 2012) | May 2012
  
  论文与出版物论文与出版物
- Interactions with Big Data Analytics
  
  Danyel Fisher, Robert DeLIne, Mary Czerwinski, Steven Drucker
  
  ACM Interactions | May 2012
  
  This is a pre-publication draft; do not distribute or reproduce. The official version may be found at http://dl.acm.org/citation.cfm?doid=2168931.2168943
  
  论文与出版物论文与出版物
- Incremental, Approximate Database Queries and Uncertainty for Exploratory Visualization
  
  Danyel Fisher
  
  IEEE Symposium on Large Data Analysis and Visualization | October 2011
  
  论文与出版物

- Trust, but Verify: Optimistic Visualizations of Approximate Queries for Exploring Big Data
  
  Dominik Moritz, Danyel Fisher, Bolin Ding, Chi Wang
  
  Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems | May 2017
  
  Author's Version Publication 视频项目
- Lessons from Pangloss: User Encounters with Uncertainty
  
  Dominik Moritz, Danyel Fisher
  
  CHI 2017 Workshop: "Designing for Uncertainty in HCI: When Does Uncertainty Help?" | May 2017
  
  论文与出版物论文与出版物
- Big Data Exploration Requires Collaboration Between Visualization and Data Infrastructures
  
  Danyel Fisher
  
  HILDA 2016: Workshop on Human-In-the-Loop Data Analytics | July 2016
  
  论文与出版物论文与出版物论文与出版物
- Tempe: An Interactive Data Science Environment for Exploration of Temporal and Streaming Data
  
  Danyel Fisher, Badrish Chandramouli, Robert DeLIne, Jonathan Goldstein, Andrei Aron, Mike Barnett, John Platt, James Terwilliger, John Wernsing
  
  MSR-TR-2014-148 | November 2014
  
  论文与出版物项目
- Trust, but Verify: Optimistic Visualizations of Approximate Queries for Exploring Big Data
  
  Dominik Moritz, Danyel Fisher, Bolin Ding, Chi Wang
  
  Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems | May 2017
  
  Author's Version Publication 视频项目
- Tempe: An Interactive Data Science Environment for Exploration of Temporal and Streaming Data
  
  Danyel Fisher, Badrish Chandramouli, Robert DeLIne, Jonathan Goldstein, Andrei Aron, Mike Barnett, John Platt, James Terwilliger, John Wernsing
  
  MSR-TR-2014-148 | November 2014
  
  论文与出版物项目
- Sample-Oriented Task-Driven Visualizations: Allowing Users to Make Better, More Confident Decisions
  
  Nivan Ferreira, Danyel Fisher, Arnd Christian König
  
  Proceedings of Conference on Human Factors in Computing Systems (CHI 2014) | April 2014
  
  论文与出版物
- Stat! – An Interactive Analytics Environment for Big Data
  
  Mike Barnett, Badrish Chandramouli, Robert DeLIne, Steven Drucker, Danyel Fisher, Jonathan Goldstein, Patrick Morrison, John Platt
  
  ACM SIGMOD International Conference on Management of Data (SIGMOD 2013) | June 2013
  
  论文与出版物项目
- Exploratory Visualization Involving Incremental, Approximate Database Queries and Uncertainty
  
  Danyel Fisher, Steven Drucker, Arnd Christian König
  
  MSR-TR-2012-134 | July 2012
  
  IEEE Computer Graphics and Applications
  
  论文与出版物
- Trust Me, I’m Partially Right: Incremental Visualization Lets Analysts Explore Large Datasets Faster
  
  Danyel Fisher, Igor Popov, Steven Drucker, mc schraefel
  
  Proceedings of the 2012 Conference on Human Factors in Computing Systems (CHI 2012) | May 2012
  
  论文与出版物论文与出版物
- Interactions with Big Data Analytics
  
  Danyel Fisher, Robert DeLIne, Mary Czerwinski, Steven Drucker
  
  ACM Interactions | May 2012
  
  This is a pre-publication draft; do not distribute or reproduce. The official version may be found at http://dl.acm.org/citation.cfm?doid=2168931.2168943
  
  论文与出版物论文与出版物
- Incremental, Approximate Database Queries and Uncertainty for Exploratory Visualization
  
  Danyel Fisher
  
  IEEE Symposium on Large Data Analysis and Visualization | October 2011
  
  论文与出版物
- Tempe: An Interactive Data Science Environment for Exploration of Temporal and Streaming Data
  
  Danyel Fisher, Badrish Chandramouli, Robert DeLIne, Jonathan Goldstein, Andrei Aron, Mike Barnett, John Platt, James Terwilliger, John Wernsing
  
  MSR-TR-2014-148 | November 2014
  
  论文与出版物项目
- Tempe: An Interactive Data Science Environment for Exploration of Temporal and Streaming Data
  
  Danyel Fisher, Badrish Chandramouli, Robert DeLIne, Jonathan Goldstein, Andrei Aron, Mike Barnett, John Platt, James Terwilliger, John Wernsing
  
  MSR-TR-2014-148 | November 2014
  
  论文与出版物项目
- Trust Me, I’m Partially Right: Incremental Visualization Lets Analysts Explore Large Datasets Faster
  
  Danyel Fisher, Igor Popov, Steven Drucker, mc schraefel
  
  Proceedings of the 2012 Conference on Human Factors in Computing Systems (CHI 2012) | May 2012
  
  论文与出版物论文与出版物
- Interactions with Big Data Analytics
  
  Danyel Fisher, Robert DeLIne, Mary Czerwinski, Steven Drucker
  
  ACM Interactions | May 2012
  
  This is a pre-publication draft; do not distribute or reproduce. The official version may be found at http://dl.acm.org/citation.cfm?doid=2168931.2168943
  
  论文与出版物论文与出版物
- Stat! – An Interactive Analytics Environment for Big Data
  
  Mike Barnett, Badrish Chandramouli, Robert DeLIne, Steven Drucker, Danyel Fisher, Jonathan Goldstein, Patrick Morrison, John Platt
  
  ACM SIGMOD International Conference on Management of Data (SIGMOD 2013) | June 2013
  
  论文与出版物项目
- Exploratory Visualization Involving Incremental, Approximate Database Queries and Uncertainty
  
  Danyel Fisher, Steven Drucker, Arnd Christian König
  
  MSR-TR-2012-134 | July 2012
  
  IEEE Computer Graphics and Applications
  
  论文与出版物

- Trust, but Verify: Optimistic Visualizations of Approximate Queries for Exploring Big Data
  
  Dominik Moritz, Danyel Fisher, Bolin Ding, Chi Wang
  
  Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems | May 2017
  
  Author's Version Publication 视频项目
- Lessons from Pangloss: User Encounters with Uncertainty
  
  Dominik Moritz, Danyel Fisher
  
  CHI 2017 Workshop: "Designing for Uncertainty in HCI: When Does Uncertainty Help?" | May 2017
  
  论文与出版物论文与出版物
- Big Data Exploration Requires Collaboration Between Visualization and Data Infrastructures
  
  Danyel Fisher
  
  HILDA 2016: Workshop on Human-In-the-Loop Data Analytics | July 2016
  
  论文与出版物论文与出版物论文与出版物
- Sample-Oriented Task-Driven Visualizations: Allowing Users to Make Better, More Confident Decisions
  
  Nivan Ferreira, Danyel Fisher, Arnd Christian König
  
  Proceedings of Conference on Human Factors in Computing Systems (CHI 2014) | April 2014
  
  论文与出版物
- Stat! – An Interactive Analytics Environment for Big Data
  
  Mike Barnett, Badrish Chandramouli, Robert DeLIne, Steven Drucker, Danyel Fisher, Jonathan Goldstein, Patrick Morrison, John Platt
  
  ACM SIGMOD International Conference on Management of Data (SIGMOD 2013) | June 2013
  
  论文与出版物项目
- Trust Me, I’m Partially Right: Incremental Visualization Lets Analysts Explore Large Datasets Faster
  
  Danyel Fisher, Igor Popov, Steven Drucker, mc schraefel
  
  Proceedings of the 2012 Conference on Human Factors in Computing Systems (CHI 2012) | May 2012
  
  论文与出版物论文与出版物
- Incremental, Approximate Database Queries and Uncertainty for Exploratory Visualization
  
  Danyel Fisher
  
  IEEE Symposium on Large Data Analysis and Visualization | October 2011
  
  论文与出版物
- Tempe: An Interactive Data Science Environment for Exploration of Temporal and Streaming Data
  
  Danyel Fisher, Badrish Chandramouli, Robert DeLIne, Jonathan Goldstein, Andrei Aron, Mike Barnett, John Platt, James Terwilliger, John Wernsing
  
  MSR-TR-2014-148 | November 2014
  
  论文与出版物项目
- Exploratory Visualization Involving Incremental, Approximate Database Queries and Uncertainty
  
  Danyel Fisher, Steven Drucker, Arnd Christian König
  
  MSR-TR-2012-134 | July 2012
  
  IEEE Computer Graphics and Applications
  
  论文与出版物
- Interactions with Big Data Analytics
  
  Danyel Fisher, Robert DeLIne, Mary Czerwinski, Steven Drucker
  
  ACM Interactions | May 2012
  
  This is a pre-publication draft; do not distribute or reproduce. The official version may be found at http://dl.acm.org/citation.cfm?doid=2168931.2168943
  
  论文与出版物论文与出版物

人员

Badrish Chandramouli

Partner Research Manager

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Rob DeLine

Senior Principal Researcher

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