Michelle Brachman

Orcid: 0000-0001-8152-441X

According to our database1, Michelle Brachman authored at least 16 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Evaluating What Others Say: The Effect of Accuracy Assessment in Shaping Mental Models of AI Systems.
Proc. ACM Hum. Comput. Interact., 2024

Grounding with Structure: Exploring Design Variations of Grounded Human-AI Collaboration in a Natural Language Interface.
Proc. ACM Hum. Comput. Interact., 2024

Emerging Reliance Behaviors in Human-AI Text Generation: Hallucinations, Data Quality Assessment, and Cognitive Forcing Functions.
CoRR, 2024

Design and Evaluation of Camera-Centric Mobile Crowdsourcing Applications.
CoRR, 2024

Exploring Prompt Engineering Practices in the Enterprise.
CoRR, 2024

How Knowledge Workers Use and Want to Use LLMs in an Enterprise Context.
Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2024

2023
A sensemaking analysis of API learning using React.
J. Comput. Lang., January, 2023

Follow the Successful Herd: Towards Explanations for Improved Use and Mental Models of Natural Language Systems.
Proceedings of the 28th International Conference on Intelligent User Interfaces, 2023

SME-in-the-loop: Interaction Preferences when Supervising Bots in Human-AI Communities.
Proceedings of the 2023 ACM Designing Interactive Systems Conference, 2023

2022
Reliance and Automation for Human-AI Collaborative Data Labeling Conflict Resolution.
Proc. ACM Hum. Comput. Interact., 2022

AI Assisted Data Labeling with Interactive Auto Label.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

A Goal-Driven Natural Language Interface for Creating Application Integration Workflows.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
AI-Assisted Human Labeling: Batching for Efficiency without Overreliance.
Proc. ACM Hum. Comput. Interact., 2021

Increasing the Speed and Accuracy of Data LabelingThrough an AI Assisted Interface.
CoRR, 2021

Increasing the Speed and Accuracy of Data Labeling Through an AI Assisted Interface.
Proceedings of the IUI '21: 26th International Conference on Intelligent User Interfaces, 2021

2020
Semi-Automated Data Labeling.
Proceedings of the NeurIPS 2020 Competition and Demonstration Track, 2020


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