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Michael S. Bernstein
2020 – today
- 2025
- [i65]Dora Zhao, Diyi Yang, Michael S. Bernstein:
Mapping the Spiral of Silence: Surveying Unspoken Opinions in Online Communities. CoRR abs/2502.00952 (2025) - 2024
- [j37]Chenyan Jia
, Michelle S. Lam
Embedding Democratic Values into Social Media AIs via Societal Objective Functions. Proc. ACM Hum. Comput. Interact. 8(CSCW1): 1-36 (2024) - [j36]Amy X. Zhang
Form-From: A Design Space of Social Media Systems. Proc. ACM Hum. Comput. Interact. 8(CSCW1): 1-47 (2024) - [j35]Lindsay Popowski
Commit: Online Groups with Participation Commitments. Proc. ACM Hum. Comput. Interact. 8(CSCW2): 1-28 (2024) - [j34]Joseph Seering
Chillbot: Content Moderation in the Backchannel. Proc. ACM Hum. Comput. Interact. 8(CSCW2): 1-26 (2024) - [j33]Melissa A. Valentine
Constructing a Classification Scheme - and its Consequences: A Field Study of Learning to Label Data for Computer Vision in a Hospital Intensive Care Unit. Proc. ACM Hum. Comput. Interact. 8(CSCW2): 1-29 (2024) - [j32]Melissa A. Valentine
The Algorithm and the Org Chart: How Algorithms Can Conflict with Organizational Structures. Proc. ACM Hum. Comput. Interact. 8(CSCW2): 1-31 (2024) - [c120]Michelle S. Lam
Concept Induction: Analyzing Unstructured Text with High-Level Concepts Using LLooM. CHI 2024: 766:1-766:28 - [c119]Omar Shaikh
Rehearsal: Simulating Conflict to Teach Conflict Resolution. CHI 2024: 920:1-920:20 - [c118]Meredith Ringel Morris
Is Human-AI Interaction CSCW? CSCW Companion 2024: 95-97 - [c117]Sanjay Kairam
Community-Driven Models for Research on Social Platforms. CSCW Companion 2024: 684-688 - [c116]Yoonho Lee
Clarify: Improving Model Robustness With Natural Language Corrections. UIST 2024: 133:1-133:19 - [i64]Yoonho Lee, Michelle S. Lam, Helena Vasconcelos, Michael S. Bernstein, Chelsea Finn:
Clarify: Improving Model Robustness With Natural Language Corrections. CoRR abs/2402.03715 (2024) - [i63]Amy X. Zhang, Michael S. Bernstein, David R. Karger, Mark S. Ackerman:
Form-From: A Design Space of Social Media Systems. CoRR abs/2402.05388 (2024) - [i62]Diyi Yang, Caleb Ziems, William Held, Omar Shaikh, Michael S. Bernstein, John C. Mitchell:
Social Skill Training with Large Language Models. CoRR abs/2404.04204 (2024) - [i61]Michelle S. Lam, Janice Teoh, James A. Landay, Jeffrey Heer, Michael S. Bernstein:
Concept Induction: Analyzing Unstructured Text with High-Level Concepts Using LLooM. CoRR abs/2404.12259 (2024) - [i60]Omar Shaikh, Michelle S. Lam, Joey Hejna, Yijia Shao, Michael S. Bernstein, Diyi Yang:
Show, Don't Tell: Aligning Language Models with Demonstrated Feedback. CoRR abs/2406.00888 (2024) - [i59]Tiziano Piccardi, Martin Saveski, Chenyan Jia, Jeffrey T. Hancock, Jeanne L. Tsai, Michael S. Bernstein:
Reranking Social Media Feeds: A Practical Guide for Field Experiments. CoRR abs/2406.19571 (2024) - [i58]Lindsay Popowski, Yutong Zhang, Michael S. Bernstein:
Commit: Online Groups with Participation Commitments. CoRR abs/2410.23267 (2024) - [i57]Joon Sung Park, Carolyn Q. Zou, Aaron Shaw, Benjamin Mako Hill, Carrie J. Cai, Meredith Ringel Morris, Robb Willer, Percy Liang, Michael S. Bernstein:
Generative Agent Simulations of 1,000 People. CoRR abs/2411.10109 (2024) - [i56]Tiziano Piccardi, Martin Saveski, Chenyan Jia, Jeffrey T. Hancock, Jeanne L. Tsai, Michael S. Bernstein:
Social Media Algorithms Can Shape Affective Polarization via Exposure to Antidemocratic Attitudes and Partisan Animosity. CoRR abs/2411.14652 (2024) - [i55]Amelia F. Hardy, Anka Reuel, Kiana Jafari Meimandi, Lisa Soder, Allie Griffith, Dylan M. Asmar, Sanmi Koyejo, Michael S. Bernstein, Mykel J. Kochenderfer:
More than Marketing? On the Information Value of AI Benchmarks for Practitioners. CoRR abs/2412.05520 (2024) - 2023
- [j31]Helena Vasconcelos
Explanations Can Reduce Overreliance on AI Systems During Decision-Making. Proc. ACM Hum. Comput. Interact. 7(CSCW1): 1-38 (2023) - [j30]Wanrong He
Cura: Curation at Social Media Scale. Proc. ACM Hum. Comput. Interact. 7(CSCW2): 1-33 (2023) - [j29]Mina Lee, Megha Srivastava, Amelia Hardy, John Thickstun, Esin Durmus, Ashwin Paranjape, Ines Gerard-Ursin, Xiang Lisa Li, Faisal Ladhak, Frieda Rong, Rose E. Wang, Minae Kwon, Joon Sung Park, Hancheng Cao, Tony Lee, Rishi Bommasani, Michael S. Bernstein, Percy Liang:
Evaluating Human-Language Model Interaction. Trans. Mach. Learn. Res. 2023 (2023) - [c115]Omar Shaikh, Hongxin Zhang, William Held, Michael S. Bernstein, Diyi Yang:
On Second Thought, Let's Not Think Step by Step! Bias and Toxicity in Zero-Shot Reasoning. ACL (1) 2023: 4454-4470 - [c114]Michelle S. Lam
Model Sketching: Centering Concepts in Early-Stage Machine Learning Model Design. CHI 2023: 741:1-741:24 - [c113]Hancheng Cao
Breaking Out of the Ivory Tower: A Large-scale Analysis of Patent Citations to HCI Research. CHI 2023: 760:1-760:24 - [c112]Gionnieve Lim
Designing for AI-Powered Social Computing Systems. CSCW Companion 2023: 572-575 - [c111]Joon Sung Park
Generative Agents: Interactive Simulacra of Human Behavior. UIST 2023: 2:1-2:22 - [c110]Michael S. Bernstein
Architecting Novel Interactions with Generative AI Models. UIST (Adjunct Volume) 2023: 107:1-107:3 - [e3]Michael S. Bernstein, Saiph Savage, Alessandro Bozzon:
Proceedings of The ACM Collective Intelligence Conference, CI 2023, Delft, Netherlands, November 6-9, 2023. ACM 2023 [contents] - [i54]Hancheng Cao, Yujie Lu, Yuting Deng, Daniel A. McFarland, Michael S. Bernstein:
Breaking Out of the Ivory Tower: A Large-scale Analysis of Patent Citations to HCI Research. CoRR abs/2301.13431 (2023) - [i53]Michelle S. Lam, Zixian Ma, Anne Li, Izequiel Freitas, Dakuo Wang, James A. Landay, Michael S. Bernstein:
Model Sketching: Centering Concepts in Early-Stage Machine Learning Model Design. CoRR abs/2303.02884 (2023) - [i52]Joon Sung Park, Joseph C. O'Brien, Carrie J. Cai, Meredith Ringel Morris, Percy Liang, Michael S. Bernstein:
Generative Agents: Interactive Simulacra of Human Behavior. CoRR abs/2304.03442 (2023) - [i51]Elisa Kreiss, Krishna Srinivasan, Tiziano Piccardi, Jesus Adolfo Hermosillo, Cynthia L. Bennett, Michael S. Bernstein, Meredith Ringel Morris, Christopher Potts:
Characterizing Image Accessibility on Wikipedia across Languages. CoRR abs/2305.09038 (2023) - [i50]Chenyan Jia, Michelle S. Lam, Minh Chau Mai, Jeff T. Hancock, Michael S. Bernstein:
Embedding Democratic Values into Social Media AIs via Societal Objective Functions. CoRR abs/2307.13912 (2023) - [i49]Wanrong He, Mitchell L. Gordon
Cura: Curation at Social Media Scale. CoRR abs/2308.13841 (2023) - [i48]Omar Shaikh, Valentino Chai, Michele J. Gelfand, Diyi Yang, Michael S. Bernstein:
Rehearsal: Simulating Conflict to Teach Conflict Resolution. CoRR abs/2309.12309 (2023) - 2022
- [j28]Xinlan Emily Hu, Rebecca Hinds, Melissa A. Valentine, Michael S. Bernstein:
A "Distance Matters" Paradox: Facilitating Intra-Team Collaboration Can Harm Inter-Team Collaboration. Proc. ACM Hum. Comput. Interact. 6(CSCW1): 48:1-48:36 (2022) - [j27]Durim Morina, Michael S. Bernstein:
A Web-Scale Analysis of the Community Origins of Image Memes. Proc. ACM Hum. Comput. Interact. 6(CSCW1): 74:1-74:25 (2022) - [j26]Christina A. Pan, Sahil Yakhmi, Tara P. Iyer, Evan Strasnick, Amy X. Zhang, Michael S. Bernstein:
Comparing the Perceived Legitimacy of Content Moderation Processes: Contractors, Algorithms, Expert Panels, and Digital Juries. Proc. ACM Hum. Comput. Interact. 6(CSCW1): 82:1-82:31 (2022) - [j25]Michelle S. Lam
End-User Audits: A System Empowering Communities to Lead Large-Scale Investigations of Harmful Algorithmic Behavior. Proc. ACM Hum. Comput. Interact. 6(CSCW2): 1-34 (2022) - [j24]Joon Sung Park, Joseph Seering, Michael S. Bernstein:
Measuring the Prevalence of Anti-Social Behavior in Online Communities. Proc. ACM Hum. Comput. Interact. 6(CSCW2): 1-29 (2022) - [c109]Mitchell L. Gordon
Jury Learning: Integrating Dissenting Voices into Machine Learning Models. CHI 2022: 115:1-115:19 - [c108]Zixian Ma, Rose E. Wang, Fei-Fei Li, Michael S. Bernstein, Ranjay Krishna:
ELIGN: Expectation Alignment as a Multi-Agent Intrinsic Reward. NeurIPS 2022 - [c107]Joon Sung Park, Lindsay Popowski
Social Simulacra: Creating Populated Prototypes for Social Computing Systems. UIST 2022: 74:1-74:18 - [i47]Xinlan Emily Hu, Rebecca Hinds, Melissa A. Valentine, Michael S. Bernstein:
A "Distance Matters" Paradox: Facilitating Intra-Team Collaboration Can Harm Inter-Team Collaboration. CoRR abs/2202.02484 (2022) - [i46]Mitchell L. Gordon, Michelle S. Lam, Joon Sung Park, Kayur Patel, Jeffrey T. Hancock, Tatsunori Hashimoto, Michael S. Bernstein:
Jury Learning: Integrating Dissenting Voices into Machine Learning Models. CoRR abs/2202.02950 (2022) - [i45]Christina A. Pan, Sahil Yakhmi, Tara P. Iyer, Evan Strasnick, Amy X. Zhang, Michael S. Bernstein:
Comparing the Perceived Legitimacy of Content Moderation Processes: Contractors, Algorithms, Expert Panels, and Digital Juries. CoRR abs/2202.06393 (2022) - [i44]Durim Morina, Michael S. Bernstein:
A Web-Scale Analysis of the Community Origins of Image Memes. CoRR abs/2204.05439 (2022) - [i43]Joon Sung Park, Lindsay Popowski, Carrie J. Cai, Meredith Ringel Morris, Percy Liang, Michael S. Bernstein:
Social Simulacra: Creating Populated Prototypes for Social Computing Systems. CoRR abs/2208.04024 (2022) - [i42]Joon Sung Park, Joseph Seering, Michael S. Bernstein:
Measuring the Prevalence of Anti-Social Behavior in Online Communities. CoRR abs/2208.13094 (2022) - [i41]Zixian Ma, Rose E. Wang, Li Fei-Fei, Michael S. Bernstein, Ranjay Krishna:
ELIGN: Expectation Alignment as a Multi-Agent Intrinsic Reward. CoRR abs/2210.04365 (2022) - [i40]Helena Vasconcelos, Matthew Jörke, Madeleine Grunde-McLaughlin, Tobias Gerstenberg, Michael S. Bernstein, Ranjay Krishna:
Explanations Can Reduce Overreliance on AI Systems During Decision-Making. CoRR abs/2212.06823 (2022) - [i39]Omar Shaikh, Hongxin Zhang, William Held, Michael S. Bernstein, Diyi Yang:
On Second Thought, Let's Not Think Step by Step! Bias and Toxicity in Zero-Shot Reasoning. CoRR abs/2212.08061 (2022) - [i38]Mina Lee, Megha Srivastava, Amelia Hardy, John Thickstun, Esin Durmus, Ashwin Paranjape, Ines Gerard-Ursin, Xiang Lisa Li, Faisal Ladhak, Frieda Rong, Rose E. Wang, Minae Kwon, Joon Sung Park, Hancheng Cao, Tony Lee, Rishi Bommasani, Michael S. Bernstein, Percy Liang:
Evaluating Human-Language Model Interaction. CoRR abs/2212.09746 (2022) - 2021
- [c106]Joon Sung Park, Michael S. Bernstein
Understanding the Representation and Representativeness of Age in AI Data Sets. AIES 2021: 834-842 - [c105]Xinlan Emily Hu, Mark E. Whiting, Michael S. Bernstein:
Can Online Juries Make Consistent, Repeatable Decisions? CHI 2021: 142:1-142:16 - [c104]Geza Kovacs, Zhengxuan Wu, Michael S. Bernstein:
Not Now, Ask Later: Users Weaken Their Behavior Change Regimen Over Time, But Expect To Re-Strengthen It Imminently. CHI 2021: 229:1-229:14 - [c103]Mitchell L. Gordon
The Disagreement Deconvolution: Bringing Machine Learning Performance Metrics In Line With Reality. CHI 2021: 388:1-388:14 - [i37]Geza Kovacs, Zhengxuan Wu, Michael S. Bernstein:
Not Now, Ask Later: Users Weaken Their Behavior Change Regimen Over Time, But Expect To Re-Strengthen It Imminently. CoRR abs/2101.11743 (2021) - [i36]Joon Sung Park, Michael S. Bernstein, Robin N. Brewer, Ece Kamar, Meredith Ringel Morris:
Understanding the Representation and Representativeness of Age in AI Data Sets. CoRR abs/2103.09058 (2021) - [i35]Michael S. Bernstein, Margaret Levi, David Magnus, Betsy Rajala, Debra Satz, Charla Waeiss:
ESR: Ethics and Society Review of Artificial Intelligence Research. CoRR abs/2106.11521 (2021) - [i34]Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, Russ B. Altman, Simran Arora, Sydney von Arx, Michael S. Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, Erik Brynjolfsson, Shyamal Buch, Dallas Card, Rodrigo Castellon, Niladri S. Chatterji, Annie S. Chen, Kathleen Creel, Jared Quincy Davis, Dorottya Demszky, Chris Donahue, Moussa Doumbouya, Esin Durmus, Stefano Ermon, John Etchemendy, Kawin Ethayarajh, Li Fei-Fei, Chelsea Finn, Trevor Gale, Lauren E. Gillespie, Karan Goel, Noah D. Goodman, Shelby Grossman, Neel Guha, Tatsunori Hashimoto, Peter Henderson, John Hewitt, Daniel E. Ho, Jenny Hong, Kyle Hsu, Jing Huang, Thomas Icard, Saahil Jain, Dan Jurafsky, Pratyusha Kalluri, Siddharth Karamcheti, Geoff Keeling, Fereshte Khani, Omar Khattab, Pang Wei Koh, Mark S. Krass, Ranjay Krishna, Rohith Kuditipudi, et al.:
On the Opportunities and Risks of Foundation Models. CoRR abs/2108.07258 (2021) - [i33]Ranjay Krishna, Mitchell L. Gordon, Li Fei-Fei, Michael S. Bernstein:
Visual Intelligence through Human Interaction. CoRR abs/2111.06913 (2021) - [i32]Jacob Ritchie, Mark E. Whiting, Sorathan Chaturapruek, J. D. Zamfirescu-Pereira, Madhav V. Marathe, Achla Marathe, Stephen G. Eubank, Michael S. Bernstein:
Crowdsourcing County-Level Data on Early COVID-19 Policy Interventions in the United States: Technical Report. CoRR abs/2112.08279 (2021) - 2020
- [j23]Sharon Zhou, Alexandra Luccioni
Establishing an evaluation metric to quantify climate change image realism. Mach. Learn. Sci. Technol. 1(2): 25005 (2020) - [j22]Mark E. Whiting
Parallel Worlds: Repeated Initializations of the Same Team to Improve Team Viability. Proc. ACM Hum. Comput. Interact. 4(CSCW): 067:1-067:22 (2020) - [j21]Pranav Khadpe, Ranjay Krishna, Li Fei-Fei, Jeffrey T. Hancock
Conceptual Metaphors Impact Perceptions of Human-AI Collaboration. Proc. ACM Hum. Comput. Interact. 4(CSCW2): 163:1-163:26 (2020) - [j20]Hancheng Cao, Vivian Yang, Victor Chen, Yu Jin Lee, Lydia Stone, N'godjigui Junior Diarrassouba, Mark E. Whiting, Michael S. Bernstein:
My Team Will Go On: Differentiating High and Low Viability Teams through Team Interaction. Proc. ACM Hum. Comput. Interact. 4(CSCW3): 1-27 (2020) - [c102]Michael S. Bernstein, Irene Greif, Wendy E. Mackay, Hiroshi Ishii, Jonathan Grudin, Karrie Karahalios, Meredith Ringel Morris, Aniket Kittur
UIST+CSCW: A Celebration of Systems Research in Collaborative and Social Computing. UIST 2020: 1-3 - [c101]Amy X. Zhang, Grant Hugh, Michael S. Bernstein:
PolicyKit: Building Governance in Online Communities. UIST 2020: 365-378 - [i31]Pranav Khadpe, Ranjay Krishna, Li Fei-Fei, Jeffrey T. Hancock, Michael S. Bernstein:
Conceptual Metaphors Impact Perceptions of Human-AI Collaboration. CoRR abs/2008.02311 (2020) - [i30]Amy X. Zhang, Grant Hugh, Michael S. Bernstein:
PolicyKit: Building Governance in Online Communities. CoRR abs/2008.04236 (2020) - [i29]Hancheng Cao, Vivian Yang, Victor Chen, Yu Jin Lee, Lydia Stone, N'godjigui Junior Diarrassouba, Mark E. Whiting, Michael S. Bernstein:
My Team Will Go On: Differentiating High and Low Viability Teams through Team Interaction. CoRR abs/2010.07292 (2020)
2010 – 2019
- 2019
- [j19]Mark E. Whiting, Allie Blaising, Chloe Barreau, Laura Fiuza, Nik Marda, Melissa A. Valentine, Michael S. Bernstein:
Did It Have To End This Way?: Understanding The Consistency of Team Fracture. Proc. ACM Hum. Comput. Interact. 3(CSCW): 209:1-209:23 (2019) - [c100]Geza Kovacs, Drew Mylander Gregory, Zilin Ma, Zhengxuan Wu, Golrokh Emami, Jacob Ray, Michael S. Bernstein
Conservation of Procrastination: Do Productivity Interventions Save Time Or Just Redistribute It? CHI 2019: 330 - [c99]Ali Alkhatib
Street-Level Algorithms: A Theory at the Gaps Between Policy and Decisions. CHI 2019: 530 - [c98]Michelle S. Lam, Grace B. Young, Catherine Y. Xu, Ranjay Krishna, Michael S. Bernstein
Eevee: Transforming Images by Bridging High-level Goals and Low-level Edit Operations. CHI Extended Abstracts 2019 - [c97]Ranjay Krishna, Michael S. Bernstein
Information Maximizing Visual Question Generation. CVPR 2019: 2008-2018 - [c96]Junwon Park, Ranjay Krishna, Pranav Khadpe, Li Fei-Fei, Michael S. Bernstein:
AI-Based Request Augmentation to Increase Crowdsourcing Participation. HCOMP 2019: 115-124 - [c95]Mark E. Whiting, Grant Hugh, Michael S. Bernstein:
Fair Work: Crowd Work Minimum Wage with One Line of Code. HCOMP 2019: 197-206 - [c94]Ranjay Krishna, Vincent S. Chen, Paroma Varma, Michael S. Bernstein
Scene Graph Prediction With Limited Labels. ICCV 2019: 2580-2590 - [c93]Apoorva Dornadula, Austin Narcomey, Ranjay Krishna, Michael S. Bernstein
Visual Relationships as Functions: Enabling Few-Shot Scene Graph Prediction. ICCV Workshops 2019: 1730-1739 - [c92]Vincent S. Chen, Paroma Varma, Ranjay Krishna, Michael S. Bernstein
Scene Graph Prediction with Limited Labels. ICCV Workshops 2019: 1772-1782 - [c91]Sharon Zhou, Mitchell L. Gordon, Ranjay Krishna, Austin Narcomey, Durim Morina, Michael S. Bernstein:
HYPE: Human-eYe Perceptual Evaluation of Generative Models. DGS@ICLR 2019 - [c90]Sharon Zhou, Mitchell L. Gordon, Ranjay Krishna, Austin Narcomey, Li Fei-Fei, Michael S. Bernstein:
HYPE: A Benchmark for Human eYe Perceptual Evaluation of Generative Models. NeurIPS 2019: 3444-3456 - [e2]François Guimbretière, Michael S. Bernstein, Katharina Reinecke:
Proceedings of the 32nd Annual ACM Symposium on User Interface Software and Technology, UIST 2019, New Orleans, LA, USA, October 20-23, 2019. ACM 2019, ISBN 978-1-4503-6816-2 [contents] - [e1]François Guimbretière, Michael S. Bernstein, Katharina Reinecke:
Adjunct Proceedings of the 32nd Annual ACM Symposium on User Interface Software and Technology, UIST 2019, New Orleans, LA, USA, October 20-23, 2019. ACM 2019, ISBN 978-1-4503-6817-9 [contents] - [i28]Ranjay Krishna, Michael S. Bernstein, Li Fei-Fei:
Information Maximizing Visual Question Generation. CoRR abs/1903.11207 (2019) - [i27]Sharon Zhou, Mitchell L. Gordon, Ranjay Krishna, Austin Narcomey, Durim Morina, Michael S. Bernstein:
HYPE: Human eYe Perceptual Evaluation of Generative Models. CoRR abs/1904.01121 (2019) - [i26]Snehalkumar (Neil) S. Gaikwad, Durim Morina, Adam Ginzberg, Catherine A. Mullings, Shirish Goyal, Dilrukshi Gamage, Christopher Diemert, Mathias Burton, Sharon Zhou, Mark E. Whiting, Karolina R. Ziulkoski, Alipta Ballav, Aaron Gilbee, Senadhipathige S. Niranga, Vibhor Sehgal, Jasmine Lin, Leonardy Kristianto, Angela Richmond-Fuller, Jeff Regino, Nalin Chhibber, Dinesh Majeti, Sachin Sharma, Kamila Mananova, Dinesh Dhakal, William Dai, Victoria Purynova, Samarth Sandeep
Boomerang: Rebounding the Consequences of Reputation Feedback on Crowdsourcing Platforms. CoRR abs/1904.06722 (2019) - [i25]Vincent S. Chen, Paroma Varma, Ranjay Krishna, Michael S. Bernstein, Christopher Ré, Li Fei-Fei:
Scene Graph Prediction with Limited Labels. CoRR abs/1904.11622 (2019) - [i24]Apoorva Dornadula, Austin Narcomey, Ranjay Krishna, Michael S. Bernstein, Li Fei-Fei:
Visual Relationships as Functions: Enabling Few-Shot Scene Graph Prediction. CoRR abs/1906.04876 (2019) - [i23]Sharon Zhou, Alexandra Luccioni, Gautier Cosne, Michael S. Bernstein, Yoshua Bengio:
Establishing an Evaluation Metric to Quantify Climate Change Image Realism. CoRR abs/1910.10143 (2019) - [i22]Khaled Jedoui, Ranjay Krishna, Michael S. Bernstein, Li Fei-Fei:
Deep Bayesian Active Learning for Multiple Correct Outputs. CoRR abs/1912.01119 (2019) - 2018
- [j18]Geza Kovacs, Zhengxuan Wu, Michael S. Bernstein:
Rotating Online Behavior Change Interventions Increases Effectiveness But Also Increases Attrition. Proc. ACM Hum. Comput. Interact. 2(CSCW): 95:1-95:25 (2018) - [j17]Niloufar Salehi
Hive: Collective Design Through Network Rotation. Proc. ACM Hum. Comput. Interact. 2(CSCW): 151:1-151:26 (2018) - [j16]Niloufar Salehi, Michael S. Bernstein
Ink: Increasing Worker Agency to Reduce Friction in Hiring Crowd Workers. ACM Trans. Comput. Hum. Interact. 25(2): 10:1-10:17 (2018) - [c89]Sharon Zhou, Melissa A. Valentine, Michael S. Bernstein
In Search of the Dream Team: Temporally Constrained Multi-Armed Bandits for Identifying Effective Team Structures. CHI 2018: 108 - [c88]Ethan Fast, Binbin Chen, Julia Mendelsohn, Jonathan Bassen, Michael S. Bernstein
Iris: A Conversational Agent for Complex Tasks. CHI 2018: 473 - [c87]Ranjay Krishna, Ines Chami, Michael S. Bernstein
Referring Relationships. CVPR 2018: 6867-6876 - [c86]Sharon Zhou, Tong Mu, Karan Goel, Michael S. Bernstein
Shared Autonomy for an Interactive AI System. UIST (Adjunct Volume) 2018: 20-22 - [c85]Ranjay Krishna, Donsuk Lee, Li Fei-Fei, Michael S. Bernstein
Engagement Learning: Expanding Visual Knowledge by Engaging Online Participants. UIST (Adjunct Volume) 2018: 87-89 - [i21]Ranjay Krishna, Ines Chami, Michael S. Bernstein, Li Fei-Fei:
Referring Relationships. CoRR abs/1803.10362 (2018) - 2017
- [j15]Ranjay Krishna
Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations. Int. J. Comput. Vis. 123(1): 32-73 (2017) - [j14]Daniela Retelny, Michael S. Bernstein, Melissa A. Valentine:
No Workflow Can Ever Be Enough: How Crowdsourcing Workflows Constrain Complex Work. Proc. ACM Hum. Comput. Interact. 1(CSCW): 89:1-89:23 (2017) - [c84]Nicolas Kokkalis, Chengdiao Fan, Johannes Roith, Michael S. Bernstein
MyriadHub: Efficiently Scaling Personalized Email Conversations with Valet Crowdsourcing. CHI 2017: 73-84 - [c83]Katherine M. Cheng
Apps with Benefits: Using Benefits and Burdens to Predict Mobile App Usage. CHI Extended Abstracts 2017: 2452-2458 - [c82]Melissa A. Valentine, Daniela Retelny, Alexandra To, Negar Rahmati, Tulsee Doshi, Michael S. Bernstein
Flash Organizations: Crowdsourcing Complex Work by Structuring Crowds As Organizations. CHI 2017: 3523-3537 - [c81]Ali Alkhatib
Examining Crowd Work and Gig Work Through The Historical Lens of Piecework. CHI 2017: 4599-4616 - [c80]Snehalkumar (Neil) S. Gaikwad, Mark E. Whiting
The Daemo Crowdsourcing Marketplace. CSCW Companion 2017: 1-4 - [c79]Joy Kim, Sarah Sterman
Mechanical Novel: Crowdsourcing Complex Work through Reflection and Revision. CSCW 2017: 233-245 - [c78]Joy Kim, Maneesh Agrawala
Mosaic: Designing Online Creative Communities for Sharing Works-in-Progress. CSCW 2017: 246-258 - [c77]Kenji Hata, Ranjay Krishna, Li Fei-Fei, Michael S. Bernstein:
A Glimpse Far into the Future: Understanding Long-term Crowd Worker Quality. CSCW 2017: 889-901 - [c76]Justin Cheng, Michael S. Bernstein, Cristian Danescu-Niculescu-Mizil, Jure Leskovec
Anyone Can Become a Troll: Causes of Trolling Behavior in Online Discussions. CSCW 2017: 1217-1230 - [c75]Niloufar Salehi, Andrew McCabe, Melissa A. Valentine, Michael S. Bernstein
Huddler: Convening Stable and Familiar Crowd Teams Despite Unpredictable Availability. CSCW 2017: 1700-1713 - [c74]Mark E. Whiting
Crowd Guilds: Worker-led Reputation and Feedback on Crowdsourcing Platforms. CSCW 2017: 1902-1913 - [c73]Nicolas Kokkalis, Chengdiao Fan, Thomas Breier, Michael S. Bernstein
Founder Center: Enabling Access to Collective Social Capital. CSCW 2017: 2010-2022 - [c72]Zhiyuan Lin, Niloufar Salehi, Bowen Yao, Yiqi Chen, Michael S. Bernstein:
Better When It Was Smaller? Community Content and Behavior After Massive Growth. ICWSM 2017: 132-141 - [c71]Ethan Fast, Binbin Chen, Michael S. Bernstein:
Lexicons on Demand: Neural Word Embeddings for Large-Scale Text Analysis. IJCAI 2017: 4836-4840 - [c70]Rajan Vaish, Snehalkumar (Neil) S. Gaikwad, Geza Kovacs, Andreas Veit, Ranjay Krishna, Imanol Arrieta Ibarra, Camelia Simoiu, Michael J. Wilber
Crowd Research: Open and Scalable University Laboratories. UIST 2017: 829-843 - [i20]Justin Cheng, Michael S. Bernstein, Cristian Danescu-Niculescu-Mizil, Jure Leskovec:
Anyone Can Become a Troll: Causes of Trolling Behavior in Online Discussions. CoRR abs/1702.01119 (2017) - [i19]Ethan Fast, Binbin Chen
Iris: A Conversational Agent for Complex Tasks. CoRR abs/1707.05015 (2017) - [i18]Snehalkumar (Neil) S. Gaikwad, Nalin Chhibber, Vibhor Sehgal, Alipta Ballav, Catherine A. Mullings, Ahmed Nasser, Angela Richmond-Fuller, Aaron Gilbee, Dilrukshi Gamage, Mark E. Whiting, Sharon Zhou, Sekandar Matin, Senadhipathige S. Niranga, Shirish Goyal, Dinesh Majeti, Preethi Srinivas, Adam Ginzberg, Kamila Mananova, Karolina R. Ziulkoski, Jeff Regino, Tejas Sarma, Akshansh Sinha, Abhratanu Paul, Christopher Diemert, Mahesh Murag, William Dai, Manoj Pandey, Rajan Vaish, Michael S. Bernstein:
Prototype Tasks: Improving Crowdsourcing Results through Rapid, Iterative Task Design. CoRR abs/1707.05645 (2017) - 2016
- [c69]Ethan Fast, William McGrath, Pranav Rajpurkar, Michael S. Bernstein
Augur: Mining Human Behaviors from Fiction to Power Interactive Systems. CHI 2016: 237-247 - [c68]Ryo Suzuki, Niloufar Salehi, Michelle S. Lam, Juan C. Marroquin, Michael S. Bernstein
Atelier: Repurposing Expert Crowdsourcing Tasks as Micro-internships. CHI 2016: 2645-2656 - [c67]Danaë Metaxa-Kakavouli
The Web Is Flat: The Inflation of Uncommon Experiences Online. CHI Extended Abstracts 2016: 2893-2899 - [c66]Ranjay A. Krishna, Kenji Hata, Stephanie Chen, Joshua Kravitz, David A. Shamma, Li Fei-Fei, Michael S. Bernstein
Embracing Error to Enable Rapid Crowdsourcing. CHI 2016: 3167-3179 - [c65]Jaime Teevan, Shamsi T. Iqbal, Carrie J. Cai, Jeffrey P. Bigham, Michael S. Bernstein, Elizabeth M. Gerber:
Productivity Decomposed: Getting Big Things Done with Little Microtasks. CHI Extended Abstracts 2016: 3500-3507 - [c64]Kazushi Ikeda, Michael S. Bernstein
Pay It Backward: Per-Task Payments on Crowdsourcing Platforms Reduce Productivity. CHI 2016: 4111-4121 - [c63]Ethan Fast, Binbin Chen
Empath: Understanding Topic Signals in Large-Scale Text. CHI 2016: 4647-4657 - [c62]Yuke Zhu, Oliver Groth, Michael S. Bernstein
Visual7W: Grounded Question Answering in Images. CVPR 2016: 4995-5004 - [c61]Cewu Lu, Ranjay Krishna, Michael S. Bernstein
Visual Relationship Detection with Language Priors. ECCV (1) 2016: 852-869 - [c60]Ethan Fast, Tina Vachovsky, Michael S. Bernstein:
Shirtless and Dangerous: Quantifying Linguistic Signals of Gender Bias in an Online Fiction Writing Community. ICWSM 2016: 112-120 - [c59]Ethan Fast, Michael S. Bernstein
Meta: Enabling Programming Languages to Learn from the Crowd. UIST 2016: 259-270 - [c58]Snehalkumar (Neil) S. Gaikwad, Durim Morina, Adam Ginzberg, Catherine A. Mullings, Shirish Goyal, Dilrukshi Gamage
Boomerang: Rebounding the Consequences of Reputation Feedback on Crowdsourcing Platforms. UIST 2016: 625-637 - [i17]Ranjay Krishna, Kenji Hata, Stephanie Chen, Joshua Kravitz, David A. Shamma, Li Fei-Fei, Michael S. Bernstein:
Embracing Error to Enable Rapid Crowdsourcing. CoRR abs/1602.04506 (2016) - [i16]Ryo Suzuki, Niloufar Salehi, Michelle S. Lam, Juan C. Marroquin, Michael S. Bernstein:
Atelier: Repurposing Expert Crowdsourcing Tasks as Micro-internships. CoRR abs/1602.06634 (2016) - [i15]Ethan Fast, William McGrath, Pranav Rajpurkar, Michael S. Bernstein:
Augur: Mining Human Behaviors from Fiction to Power Interactive Systems. CoRR abs/1602.06977 (2016) - [i14]Ethan Fast, Binbin Chen
Empath: Understanding Topic Signals in Large-Scale Text. CoRR abs/1602.06979 (2016) - [i13]Ranjay Krishna, Yuke Zhu, Oliver Groth, Justin Johnson, Kenji Hata, Joshua Kravitz, Stephanie Chen, Yannis Kalantidis, Li-Jia Li, David A. Shamma, Michael S. Bernstein, Li Fei-Fei:
Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations. CoRR abs/1602.07332 (2016) - [i12]Ethan Fast, Tina Vachovsky, Michael S. Bernstein:
Shirtless and Dangerous: Quantifying Linguistic Signals of Gender Bias in an Online Fiction Writing Community. CoRR abs/1603.08832 (2016) - [i11]Cewu Lu, Ranjay Krishna, Michael S. Bernstein, Li Fei-Fei:
Visual Relationship Detection with Language Priors. CoRR abs/1608.00187 (2016) - [i10]Kenji Hata, Ranjay Krishna, Li Fei-Fei, Michael S. Bernstein:
A Glimpse Far into the Future: Understanding Long-term Crowd Worker Accuracy. CoRR abs/1609.04855 (2016) - [i9]Niloufar Salehi, Andrew McCabe, Melissa A. Valentine, Michael S. Bernstein:
Huddler: Convening Stable and Familiar Crowd Teams Despite Unpredictable Availability. CoRR abs/1610.08216 (2016) - [i8]Mark E. Whiting, Dilrukshi Gamage, Snehalkumar (Neil) S. Gaikwad, Aaron Gilbee, Shirish Goyal, Alipta Ballav, Dinesh Majeti, Nalin Chhibber, Angela Richmond-Fuller, Freddie Vargus, Tejas Seshadri Sarma, Varshine Chandrakanthan, Teógenes Moura, Mohamed Hashim Salih, Gabriel Bayomi Tinoco Kalejaiye, Adam Ginzberg, Catherine A. Mullings, Yoni Dayan, Kristy Milland, Henrique Orefice, Jeff Regino, Sayna Parsi, Kunz Mainali, Vibhor Sehgal, Sekandar Matin, Akshansh Sinha, Rajan Vaish, Michael S. Bernstein:
Crowd Guilds: Worker-led Reputation and Feedback on Crowdsourcing Platforms. CoRR abs/1611.01572 (2016) - [i7]Joy Kim, Maneesh Agrawala, Michael S. Bernstein:
Mosaic: Designing Online Creative Communities for Sharing Works-in-Progress. CoRR abs/1611.02666 (2016) - [i6]Joy Kim, Sarah Sterman, Allegra Argent Beal Cohen, Michael S. Bernstein:
Mechanical Novel: Crowdsourcing Complex Work through Reflection and Revision. CoRR abs/1611.02682 (2016) - 2015
- [j13]Michael S. Bernstein, Greg Little, Robert C. Miller, Björn Hartmann, Mark S. Ackerman, David R. Karger
Soylent: a word processor with a crowd inside. Commun. ACM 58(8): 85-94 (2015) - [j12]Olga Russakovsky
ImageNet Large Scale Visual Recognition Challenge. Int. J. Comput. Vis. 115(3): 211-252 (2015) - [c57]Joy Kim, Avi Bagla, Michael S. Bernstein:
Designing Creativity Support Tools for Failure. Creativity & Cognition 2015: 157-160 - [c56]Joy Kim, Mira Dontcheva, Wilmot Li, Michael S. Bernstein
Motif: Supporting Novice Creativity through Expert Patterns. CHI 2015: 1211-1220 - [c55]Justin Cheng, Jaime Teevan, Michael S. Bernstein
Measuring Crowdsourcing Effort with Error-Time Curves. CHI 2015: 1365-1374 - [c54]Niloufar Salehi, Lilly Irani
We Are Dynamo: Overcoming Stalling and Friction in Collective Action for Crowd Workers. CHI 2015: 1621-1630 - [c53]Walter S. Lasecki, Juho Kim
Apparition: Crowdsourced User Interfaces that Come to Life as You Sketch Them. CHI 2015: 1925-1934 - [c52]Ethan Fast, Pranav Rajpurkar, Michael S. Bernstein:
Text Mining Emergent Human Behaviors for Interactive Systems. CHI Extended Abstracts 2015: 2265-2270 - [c51]Justin Cheng, Jaime Teevan, Shamsi T. Iqbal, Michael S. Bernstein
Break It Down: A Comparison of Macro- and Microtasks. CHI 2015: 4061-4064 - [c50]Justin Cheng, Michael S. Bernstein
Flock: Hybrid Crowd-Machine Learning Classifiers. CSCW 2015: 600-611 - [c49]Chinmay Kulkarni, Julia Cambre, Yasmine Kotturi, Michael S. Bernstein
Talkabout: Making Distance Matter with Small Groups in Massive Classes. CSCW 2015: 1116-1128 - [c48]Justin Johnson, Ranjay Krishna, Michael Stark, Li-Jia Li
Image retrieval using scene graphs. CVPR 2015: 3668-3678 - [c47]Yasmine Kotturi, Chinmay Kulkarni, Michael S. Bernstein, Scott R. Klemmer:
Structure and messaging techniques for online peer learning systems that increase stickiness. L@S 2015: 31-38 - [c46]Chinmay Kulkarni, Michael S. Bernstein, Scott R. Klemmer:
PeerStudio: Rapid Peer Feedback Emphasizes Revision and Improves Performance. L@S 2015: 75-84 - [c45]Vineet Pandey, Yasmine Kotturi, Chinmay Kulkarni, Michael S. Bernstein, Scott R. Klemmer:
Connecting Stories and Pedagogy Increases Participant Engagement in Discussions. L@S 2015: 253-256 - [c44]Snehal (Neil) Gaikwad, Durim Morina, Rohit Nistala, Megha Agarwal, Alison Cossette
Daemo: A Self-Governed Crowdsourcing Marketplace. UIST (Adjunct Volume) 2015: 101-102 - [i5]Kenji Hata, Sherman Leung, Ranjay Krishna, Michael S. Bernstein, Li Fei-Fei:
SentenceRacer: A Game with a Purpose for Image Sentence Annotation. CoRR abs/1508.07053 (2015) - [i4]Yuke Zhu, Oliver Groth, Michael S. Bernstein, Li Fei-Fei:
Visual7W: Grounded Question Answering in Images. CoRR abs/1511.03416 (2015) - 2014
- [j11]Çagatay Demiralp, Michael S. Bernstein
Learning Perceptual Kernels for Visualization Design. IEEE Trans. Vis. Comput. Graph. 20(12): 1933-1942 (2014) - [c43]Ethan Fast, Daniel Steffee, Lucy Wang, Joel R. Brandt, Michael S. Bernstein:
Emergent, crowd-scale programming practice in the IDE. CHI 2014: 2491-2500 - [c42]Jia Deng, Olga Russakovsky
Scalable multi-label annotation. CHI 2014: 3099-3102 - [c41]Rajan Vaish, Keith Wyngarden, Jingshu Chen, Brandon Cheung, Michael S. Bernstein:
Twitch crowdsourcing: crowd contributions in short bursts of time. CHI 2014: 3645-3654 - [c40]Joy Kim, Justin Cheng, Michael S. Bernstein:
Ensemble: exploring complementary strengths of leaders and crowds in creative collaboration. CSCW 2014: 745-755 - [c39]Justin Cheng, Michael S. Bernstein:
Catalyst: triggering collective action with thresholds. CSCW 2014: 1211-1221 - [c38]Vasilis Verroios, Michael S. Bernstein:
Context Trees: Crowdsourcing Global Understanding from Local Views. HCOMP 2014: 210-219 - [c37]Chinmay Eishan Kulkarni, Richard Socher, Michael S. Bernstein, Scott R. Klemmer:
Scaling short-answer grading by combining peer assessment with algorithmic scoring. L@S 2014: 99-108 - [c36]Julia Cambre, Chinmay Kulkarni, Michael S. Bernstein, Scott R. Klemmer:
Talkabout: small-group discussions in massive global classes. L@S 2014: 161-162 - [c35]Daniela Retelny, Sébastien Robaszkiewicz, Alexandra To, Walter S. Lasecki, Jay Patel, Negar Rahmati, Tulsee Doshi, Melissa A. Valentine, Michael S. Bernstein:
Expert crowdsourcing with flash teams. UIST 2014: 75-85 - [c34]Alex Embiricos, Negar Rahmati, Nicole Zhu, Michael S. Bernstein:
Structured handoffs in expert crowdsourcing improve communication and work output. UIST (Adjunct Volume) 2014: 99-100 - [c33]Eytan Bakshy, Dean Eckles
Designing and deploying online field experiments. WWW 2014: 283-292 - [i3]Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael S. Bernstein, Alexander C. Berg, Li Fei-Fei:
ImageNet Large Scale Visual Recognition Challenge. CoRR abs/1409.0575 (2014) - [i2]Eytan Bakshy, Dean Eckles, Michael S. Bernstein:
Designing and Deploying Online Field Experiments. CoRR abs/1409.3174 (2014) - 2013
- [j10]Michael S. Bernstein
Crowd-Powered Systems. Künstliche Intell. 27(1): 69-73 (2013) - [c32]Michael S. Bernstein, Eytan Bakshy, Moira Burke, Brian Karrer:
Quantifying the invisible audience in social networks. CHI 2013: 21-30 - [c31]Michael S. Bernstein, Mike Bright, Ed Cutrell, Steven Dow, Elizabeth Gerber, Anupam Jain, Anand Kulkarni:
Micro-volunteering: helping the helpers in development. CSCW Companion 2013: 85-88 - [c30]Nicolas Kokkalis, Thomas Köhn, Carl Pfeiffer, Dima Chornyi, Michael S. Bernstein, Scott R. Klemmer:
EmailValet: managing email overload through private, accountable crowdsourcing. CSCW 2013: 1291-1300 - [c29]Aniket Kittur
The future of crowd work. CSCW 2013: 1301-1318 - [c28]Ethan Fast, Colleen Lee, Alex Aiken, Michael S. Bernstein, Daphne Koller, Eric Smith:
Crowd-scale interactive formal reasoning and analytics. UIST 2013: 363-372 - 2012
- [b1]Michael S. Bernstein:
Crowd-powered systems. Massachusetts Institute of Technology, Cambridge, MA, USA, 2012 - [j9]Ed H. Chi, Michael S. Bernstein:
Leveraging Online Populations for Crowdsourcing [Guest editors' introduction]. IEEE Internet Comput. 16(5): 10-12 (2012) - [c27]Michael S. Bernstein, Jaime Teevan, Susan T. Dumais, Daniel J. Liebling, Eric Horvitz:
Direct answers for search queries in the long tail. CHI 2012: 237-246 - [c26]Michael S. Bernstein, Michael D. Conover, Benjamin Mako Hill
Fail whaling: designing from deviance and failures in social computing. CHI Extended Abstracts 2012: 1127-1130 - [c25]Max L. Wilson
RepliCHI SIG: from a panel to a new submission venue for replication. CHI Extended Abstracts 2012: 1185-1188 - [c24]Michael S. Bernstein, Dan Cosley, Carl DiSalvo, Sanjay Kairam, David R. Karger
Reject me: peer review and SIGCHI. CHI Extended Abstracts 2012: 1197-1200 - [c23]Paul André, Michael S. Bernstein, Mira Dontcheva, Elizabeth Gerber, Aniket Kittur
CrowdCamp: rapidly iterating ideas related to collective intelligence & crowdsourcing. CHI Extended Abstracts 2012: 2687-2690 - [c22]Paul André, Michael S. Bernstein, Kurt Luther
Who gives a tweet?: evaluating microblog content value. CSCW 2012: 471-474 - [i1]Michael S. Bernstein, David R. Karger, Robert C. Miller, Joel Brandt:
Analytic Methods for Optimizing Realtime Crowdsourcing. CoRR abs/1204.2995 (2012) - 2011
- [j8]Adam Marcus, Michael S. Bernstein, Osama Badar, David R. Karger
Processing and visualizing the data in tweets. SIGMOD Rec. 40(4): 21-27 (2011) - [c21]Xiao Xiao, Michael S. Bernstein, Lining Yao, David Lakatos, Lauren Gust, Kojo Acquah, Hiroshi Ishii:
PingPong++: community customization in games and entertainment. Advances in Computer Entertainment Technology 2011: 24 - [c20]Michael S. Bernstein, Ed H. Chi, Lydia B. Chilton, Björn Hartmann, Aniket Kittur
Crowdsourcing and human computation: systems, studies and platforms. CHI Extended Abstracts 2011: 53-56 - [c19]Adam Marcus, Michael S. Bernstein, Osama Badar, David R. Karger
Twitinfo: aggregating and visualizing microblogs for event exploration. CHI 2011: 227-236 - [c18]Michael S. Bernstein, Mark S. Ackerman, Ed H. Chi, Robert C. Miller:
The trouble with social computing systems research. CHI Extended Abstracts 2011: 389-398 - [c17]Max L. Wilson
RepliCHI - CHI should be replicating and validating results more: discuss. CHI Extended Abstracts 2011: 463-466 - [c16]Michael S. Bernstein, Andrés Monroy-Hernández, Drew Harry, Paul André, Katrina Panovich, Gregory G. Vargas:
4chan and /b/: An Analysis of Anonymity and Ephemerality in a Large Online Community. ICWSM 2011 - [c15]Adam Marcus, Michael S. Bernstein, Osama Badar, David R. Karger
Tweets as data: demonstration of TweeQL and Twitinfo. SIGMOD Conference 2011: 1259-1262 - [c14]Michael S. Bernstein, Joel Brandt, Robert C. Miller, David R. Karger
Crowds in two seconds: enabling realtime crowd-powered interfaces. UIST 2011: 33-42 - 2010
- [j7]Greg Linden, Michael S. Bernstein, Erika Shehan Poole:
The war against spam: and more. Commun. ACM 53(8): 8-9 (2010) - [j6]Michael S. Bernstein:
Profile Armando Solar-Lezama: programming machines to program bits. XRDS 17(1): 42 (2010) - [j5]Michael S. Bernstein:
Profile John Resig: origins of the JavaScript ninja. XRDS 17(1): 44-45 (2010) - [j4]Michael S. Bernstein, Inbal Talgam-Cohen:
Human computation and crowdsourcing. XRDS 17(2): 6 (2010) - [j3]Robert C. Miller, Greg Little, Michael S. Bernstein, Jeffrey P. Bigham, Lydia B. Chilton, Max Goldman, John Joseph Horton, Rajeev Nayak:
Heads in the cloud. XRDS 17(2): 27-31 (2010) - [j2]Michael S. Bernstein, Desney S. Tan, Greg Smith, Mary Czerwinski, Eric Horvitz:
Personalization via friendsourcing. ACM Trans. Comput. Hum. Interact. 17(2): 6:1-6:28 (2010) - [c13]Michael S. Bernstein, Adam Marcus, David R. Karger
Enhancing directed content sharing on the web. CHI 2010: 971-980 - [c12]Jilin Chen, Rowan Nairn, Les Nelson, Michael S. Bernstein, Ed H. Chi:
Short and tweet: experiments on recommending content from information streams. CHI 2010: 1185-1194 - [c11]Michael S. Bernstein, Bongwon Suh, Lichan Hong, Jilin Chen, Sanjay Kairam, Ed H. Chi:
Eddi: interactive topic-based browsing of social status streams. UIST 2010: 303-312 - [c10]Michael S. Bernstein
Soylent: a word processor with a crowd inside. UIST 2010: 313-322 - [c9]Michael S. Bernstein:
Crowd-powered interfaces. UIST (Adjunct Volume) 2010: 347-350
2000 – 2009
- 2009
- [c8]Max Van Kleek, Michael S. Bernstein, Katrina Panovich, Gregory G. Vargas, David R. Karger
Note to self: examining personal information keeping in a lightweight note-taking tool. CHI 2009: 1477-1480 - [c7]Michael S. Bernstein, Paul André, Kurt Luther
CHIstory. CHI Extended Abstracts 2009: 3493-3494 - [c6]Michael S. Bernstein, Desney S. Tan, Greg Smith, Mary Czerwinski, Eric Horvitz:
Collabio: a game for annotating people within social networks. UIST 2009: 97-100 - 2008
- [j1]Michael S. Bernstein, Max Van Kleek, David R. Karger
Information scraps: How and why information eludes our personal information management tools. ACM Trans. Inf. Syst. 26(4): 24:1-24:46 (2008) - [c5]Robert C. Miller, Victoria H. Chou, Michael S. Bernstein, Greg Little, Max Van Kleek, David R. Karger
Inky: a sloppy command line for the web with rich visual feedback. UIST 2008: 131-140 - [c4]Michael S. Bernstein, Jeff Shrager, Terry Winograd:
Taskposé: exploring fluid boundaries in an associative window visualization. UIST 2008: 231-234 - 2007
- [c3]Michael S. Bernstein, Max Van Kleek, m. c. schraefel
Management of personal information scraps. CHI Extended Abstracts 2007: 2285-2290 - [c2]Max Van Kleek, Michael S. Bernstein, David R. Karger
Gui --- phooey!: the case for text input. UIST 2007: 193-202 - 2006
- [c1]Björn Hartmann, Scott R. Klemmer, Michael S. Bernstein, Leith Abdulla, Brandon Burr, Avi Robinson-Mosher, Jennifer Gee:
Reflective physical prototyping through integrated design, test, and analysis. UIST 2006: 299-308
Coauthor Index
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